“AI has been advancing at an incredible pace,” Huang said. “It started with perception AI — understanding images, words, and sounds. Then generative AI — creating text, images, and sound. Now, we’re entering the era of ‘physical AI,’ AI that can perceive, reason, plan, and act.”

With NVIDIA’s platforms and GPUs at the core, Huang explained how the company continues to fuel breakthroughs across multiple industries while unveiling innovations such as the Cosmos platform, next-gen GeForce RTX 50 Series GPUs, and compact AI supercomputer Project DIGITS. 

RTX 50 series: “The GPU is a beast”

One of the most significant announcements during CES 2025 was the introduction of the GeForce RTX 50 Series, powered by NVIDIA Blackwell architecture. Huang debuted the flagship RTX 5090 GPU, boasting 92 billion transistors and achieving an impressive 3,352 trillion AI operations per second (TOPS).

“GeForce enabled AI to reach the masses, and now AI is coming home to GeForce,” said Huang.

Holding the blacked-out GPU, Huang called it “a beast,” highlighting its advanced features, including dual cooling fans and its ability to leverage AI for revolutionary real-time graphics.

Set for a staggered release in early 2025, the RTX 50 Series includes the flagship RTX 5090 and RTX 5080 (available 30 January), followed by the RTX 5070 Ti and RTX 5070 (February). Laptop GPUs join the lineup in March.

In addition, NVIDIA introduced DLSS 4 – featuring ‘Multi-Frame Generation’ technology – which boosts gaming performance up to eightfold by generating three additional frames for every frame rendered.

Other advancements, such as RTX Neural Shaders and RTX Mega Geometry, promise heightened realism in video games, including precise face and hair rendering using generative AI.

Cosmos: Ushering in physical AI

NVIDIA took another step forward with the Cosmos platform at CES 2025, which Huang described as a “game-changer” for robotics, industrial AI, and AVs. Much like the impact of large language models on generative AI, Cosmos represents a new frontier for AI applications in robotics and autonomous systems.

“The ChatGPT moment for general robotics is just around the corner,” Huang declared.

Cosmos integrates generative models, tokenisers, and video processing frameworks to enable robots and vehicles to simulate potential outcomes and predict optimal actions. By ingesting text, image, and video prompts, Cosmos can generate “virtual world states,” tailored for complex robotics and AV use cases involving real-world environments and lighting.

Top robotics and automotive leaders – including XPENG, Hyundai Motor Group, and Uber – are among the first to adopt Cosmos, which is available on GitHub via an open licence.

Pras Velagapudi, CTO at Agility, comments: “Data scarcity and variability are key challenges to successful learning in robot environments. Cosmos’ text-, image- and video-to-world capabilities allow us to generate and augment photorealistic scenarios for a variety of tasks that we can use to train models without needing as much expensive, real-world data capture.”

Empowering developers with AI models

NVIDIA also unveiled new AI foundation models for RTX PCs, which aim to supercharge content creation, productivity, and enterprise applications. These models, presented as NVIDIA NIM (Neural Interaction Model) microservices, are designed to integrate with the RTX 50 Series hardware.

Huang emphasised the accessibility of these tools: “These AI models run in every single cloud because NVIDIA GPUs are now available in every cloud.”

NVIDIA is doubling down on its push to equip developers with advanced tools for building AI-driven solutions. The company introduced AI Blueprints: pre-configured tools for crafting agents tailored to specific enterprise needs, such as content generation, fraud detection, and video management.

“They are completely open source, so you could take it and modify the blueprints,” explains Huang.

Huang also announced the release of Llama Nemotron, designed for developers to build and deploy powerful AI agents.

Ahmad Al-Dahle, VP and Head of GenAI at Meta, said: “Agentic AI is the next frontier of AI development, and delivering on this opportunity requires full-stack optimisation across a system of LLMs to deliver efficient, accurate AI agents.

“Through our collaboration with NVIDIA and our shared commitment to open models, the NVIDIA Llama Nemotron family built on Llama can help enterprises quickly create their own custom AI agents.”

Philipp Herzig, Chief AI Officer at SAP, added: “AI agents that collaborate to solve complex tasks across multiple lines of the business will unlock a whole new level of enterprise productivity beyond today’s generative AI scenarios.

“Through SAP’s Joule, hundreds of millions of enterprise users will interact with these agents to accomplish their goals faster than ever before. NVIDIA’s new open Llama Nemotron model family will foster the development of multiple specialised AI agents to transform business processes.”

Safer and smarter autonomous vehicles

NVIDIA’s announcements extended to the automotive industry, where its DRIVE Hyperion AV platform is fostering a safer and smarter future for AVs. Built on the new NVIDIA AGX Thor system-on-a-chip (SoC), the platform allows vehicles to achieve next-level functional safety and autonomous capabilities using generative AI models.

“The autonomous vehicle revolution is here,” Huang said. “Building autonomous vehicles, like all robots, requires three computers: NVIDIA DGX to train AI models, Omniverse to test-drive and generate synthetic data, and DRIVE AGX, a supercomputer in the car.”

Huang explained that synthetic data is critical for AV development, as it dramatically enhances real-world datasets. NVIDIA’s AI data factories – powered by Omniverse and Cosmos platforms – generate synthetic driving scenarios, increasing the effectiveness of training data exponentially.

Toyota, the world’s largest automaker, is committed to using NVIDIA DRIVE AGX Orin and the safety-certified NVIDIA DriveOS to develop its next-generation vehicles. Heavyweights such as JLR, Mercedes-Benz, and Volvo Cars have also adopted DRIVE Hyperion.

Project DIGITS: Compact AI supercomputer

Huang concluded his NVIDIA keynote at CES 2025 with a final “one more thing” announcement: Project DIGITS, NVIDIA’s smallest yet most powerful AI supercomputer, powered by the cutting-edge GB10 Grace Blackwell Superchip.

“This is NVIDIA’s latest AI supercomputer,” Huang declared, revealing its compact size, claiming it’s portable enough to “practically fit in a pocket.”

Project DIGITS enables developers and engineers to train and deploy AI models directly from their desks, providing the full power of NVIDIA’s AI stack in a compact form.

Set to launch in May, Project DIGITS represents NVIDIA’s push to make AI supercomputing accessible to individuals as well as organisations.

Vision for tomorrow

Reflecting on NVIDIA’s journey since inventing the programmable GPU in 1999, Huang described the past 12 years of AI-driven change as transformative.

“Every single layer of the technology stack has been fundamentally transformed,” he said.

With advancements spanning gaming, AI-driven agents, robotics, and autonomous vehicles, Huang foresees an exciting future.

“All of the enabling technologies I’ve talked about today will lead to surprising breakthroughs in general robotics and AI over the coming years,” Huang concludes.

(Image Credit: NVIDIA)

See also: Sam Altman, OpenAI: ‘Lucky and humbling’ to work towards superintelligence

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post NVIDIA advances AI frontiers with CES 2025 announcements appeared first on AI News.

AIRIS represents the first proto-AGI (Artificial General Intelligence) to harness a comprehensive tech stack across the alliance.

SingularityNET, founded by renowned AI researcher Dr Ben Goertzel, uses agent technology from Fetch.ai, incorporates Ocean Data for long-term memory capabilities, and is soon expected to integrate CUDOS Compute infrastructure for scalable processing power.

“AIRIS is a significant step in the direction of practical, scalable neural-symbolic learning, and – alongside its already powerful and valuable functionality – it illustrates several general points about neural-symbolic systems, such as their ability to learn precise generalisable conclusions from small amounts of data,” explains Goertzel.

According to the company, this alliance-driven procedure propels AIRIS towards AGI—crafting one of the first intelligent systems with autonomous and adaptive learning that holds practical applications for real-world scenarios.

AIRIS’ learning mechanisms

AIRIS is crafted to enhance its understanding by interacting directly with its environment, venturing beyond the traditional AI limitations that depend on predefined rules or vast datasets. Instead, AIRIS evolves through observation, experimentation, and continual refinement of its unique “rule set.”

This system facilitates a profound level of problem-solving and contextual comprehension, with its implementation in Minecraft setting a new benchmark for AI interaction with both digital and tangible landscapes.

Shifting from a controlled 2D grid to the sophisticated 3D world of Minecraft, AIRIS faced numerous challenges—including terrain navigation and adaptive problem-solving in a dynamic environment. This transition underscores AIRIS’ autonomy in navigation, exploration, and learning.

The AIRIS Minecraft Agent distinguishes itself from other AI entities through several key features:

• Dynamic navigation: AIRIS initially evaluates its milieu to formulate movement strategies, adapting to new environments in real-time. Its capabilities include manoeuvring around obstacles, jumping over barriers, and anticipating reactions to varied terrains.

• Obstacle adaptation: It learns to navigate around impediments like cliffs and forested areas, refining its rule set with every new challenge to avoid redundant errors and minimise needless trial-and-error efforts.

• Efficient pathfinding: Via continuous optimisation, AIRIS advances from initially complex navigation paths to streamlined, direct routes as it “comprehends” Minecraft dynamics.

• Real-time environmental adaptation: Contrasting with conventional reinforcement learning systems that demand extensive retraining for new environments, AIRIS adapts immediately to unfamiliar regions, crafting new rules based on partial observations dynamically.

AIRIS’ adeptness in dealing with fluctuating terrains, including water bodies and cave systems, introduces sophisticated rule refinement founded on hands-on experience. Additionally, AIRIS boasts optimised computational efficiency—enabling real-time management of complex rules without performance compromises.

Future applications

Minecraft serves as an excellent launchpad for AIRIS’ prospective applications, establishing a solid foundation for expansive implementations:

• Enhanced object interaction: Forthcoming stages will empower AIRIS to engage more profoundly with its surroundings, improving capabilities in object manipulation, construction, and even crafting. This development will necessitate AIRIS to develop a more refined decision-making framework for contextual tasks.

• Social AI collaboration: Plans are underway to incorporate AIRIS in multi-agent scenarios, where agents learn, interact, and fulfil shared objectives, simulating real-world social dynamics and problem-solving collaboratively.

• Abstract and strategic reasoning: Expanded developments will enhance AIRIS’s reasoning, enabling it to tackle complex goals such as resource management and prioritisation, moving beyond basic navigation towards strategic gameplay.

The transition of AIRIS to 3D environments signifies a pivotal advancement in the ASI Alliance’s mission to cultivate AGI. Through AIRIS’s achievements in navigating and learning within Minecraft, the ASI Alliance aspires to expedite its deployment in the real world, pioneering applications for autonomous robots, intelligent home assistants, and other systems requiring adaptive learning and problem-solving capacities.

Berick Cook, AI Developer at SingularityNET and creator of AIRIS, said: “AIRIS is a whole new way of approaching the problem of machine learning. We are only just beginning to explore its capabilities. We are excited to see how we can apply it to problems that have posed a significant challenge for traditional reinforcement learning.

“The most important aspect of AIRIS to me is its transparency and explainability. Moving away from ‘Black Box’ AI represents a significant leap forward in the pursuit of safe, ethical, and beneficial AI.”

The innovative approach to AI evident in AIRIS – emphasising self-directed learning and continuous rule refinement – lays the foundation for AI systems capable of independent functioning in unpredictable real-world environments. Minecraft’s intricate ecosystem enables the system to hone its skills within a controlled yet expansive virtual setting, effectively bridging the divide between simulation and reality.

The AIRIS Minecraft Agent represents the inaugural tangible step towards an AI that learns from, adapts to and makes autonomous decisions about its environment. This accomplishment illustrates the potential of such technology to re-envision AI’s role across various industries.

(Image by SkyeWeste)

See also: SingularityNET bets on supercomputer network to deliver AGI

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post ASI Alliance launches AIRIS that ‘learns’ in Minecraft appeared first on AI News.

By leveraging data analytics, machine learning, and real-time processing, AI is turning the traditional approach to sports betting on its head. This article delves into how AI algorithms are transforming sports betting, providing actual data, statistics, and insights that demonstrate their impact.

The rise of AI in sports betting

Sports betting has always been a game of numbers, but the advent of AI has taken it to another level. AI algorithms can analyse vast amounts of data, recognise patterns, and make predictions with remarkable accuracy. According to a sportbet.one blog, the AI in sports market is projected to reach $3.5 billion by 2026, growing at a compound annual growth rate (CAGR) of 28.32% from 2019 to 2026. This surge is driven by the increasing demand for data-driven decision-making in sports betting.

Predictive analytics: The heart of AI betting

At the core of AI’s impact on sports betting is predictive analytics. Machine learning models, such as regression analysis, neural networks, and decision trees, are employed to analyse historical data and predict future outcomes. For instance, a study published in the Journal of Sports Analytics found that machine learning models could predict NFL game outcomes with up to 75% accuracy, significantly higher than traditional methods.

Data collection and processing

AI algorithms thrive on data. They collect and process information from various sources, including past performance statistics, player conditions, weather forecasts, and even social media sentiments. According to a survey by the International Journal of Computer Applications, AI models that incorporate diverse data sources can improve prediction accuracy by up to 20%. 

Pattern recognition and anomaly detection

One of AI’s greatest strengths is its ability to recognise patterns and detect anomalies. Machine learning algorithms can identify subtle trends that human analysts might miss. For example, AI can detect a player’s declining performance due to unreported injuries by analysing minute variations in their play style. This capability allows bettors to make more informed decisions and identify value bets that offer higher returns.

Real-time analysis for live betting

Live betting, where odds change rapidly during a game, benefits immensely from AI’s real-time analysis capabilities. AI algorithms can process live data streams and adjust predictions on the fly. A report by the Journal of Gambling Studies found that AI-powered real-time betting systems could increase bettors’ profits by 15-25% compared to traditional methods. This advantage is particularly pronounced in fast-paced sports like basketball and soccer.

Sentiment analysis: Gauging public opinion

Public sentiment can significantly influence sports outcomes. AI uses natural language processing (NLP) to analyse sentiments from social media, news articles, and other textual data. For instance, during the 2018 FIFA World Cup, an AI model analysed over 10 million tweets to gauge public sentiment and accurately predicted the outcomes of 70% of the matches.

Sentiment analysis adds an extra layer of insight, helping bettors understand the psychological factors at play. Insights from the BMR sports betting forum show that community discussions and sentiments can also significantly influence betting decisions.

Risk management and arbitrage opportunities

AI excels in managing risk by analysing the probability of various outcomes and suggesting bets that maximise returns while minimising potential losses. This includes identifying arbitrage opportunities, where discrepancies in odds between different bookmakers can be exploited.

According to a study by the European Journal of Operational Research, AI-driven arbitrage strategies can yield returns of up to 10% per annum, far surpassing traditional betting methods.

Automated betting systems

AI-powered automated betting systems, or bots, are becoming increasingly popular. These systems can place bets based on predefined criteria and real-time data analysis, executing trades at high speed to ensure the best odds are taken advantage of. For example, an AI bot developed by the MIT Computer Science and Artificial Intelligence Laboratory achieved a 25% return on investment (ROI) over a six-month period by leveraging real-time data and machine learning.

Player and team performance analysis

Advanced AI models assess individual player performance and team dynamics, considering factors like injuries, player transfers, and team strategies. A study published in the IEEE Transactions on Knowledge and Data Engineering demonstrated that AI models could predict player performance with an accuracy of 85%, significantly aiding bettors in making informed decisions, particularly in tournaments like the UEFA Youth Championships.

Market analysis: Finding value bets

AI algorithms analyse betting markets to identify where the best value bets are. By understanding how odds are moving and why, bettors can identify opportunities where the odds are in their favour. According to a report by Grand View Research, AI-driven market analysis can improve betting efficiency by up to 30%, making it a valuable tool for serious bettors.

Bottom line

AI algorithms are transforming sports betting by providing bettors with powerful tools to improve their odds. From predictive analytics and real-time analysis to sentiment analysis and risk management, AI is enhancing every aspect of the betting process.

As AI technology continues to evolve, its impact on sports betting is likely to grow, offering even more sophisticated tools for bettors. However, it’s crucial to use these tools responsibly and ethically to ensure a fair and enjoyable betting experience.

The post How AI is transforming sports betting for better odds appeared first on AI News.

They also enjoy playing a diverse range of games. Some of the world’s most competitive eSports focus on PC hits, from FPSs like Counter-Strike: Global Offensive to MOBAs like Dota 2. Though console gamers are also present, most gamers associate these titles with PCs.

Beyond the scope of hyper-visible eSports hits, PC gamers also have access to other titles. Casino games, for example, are often played via browser. Slots are a popular choice, offering dozens of formats and hundreds of themes for them to choose from. Straight from a laptop or PC, players can spin the reel.

The same is true for DCCGs. These types of card games have taken off over the last decade, including new hits like Hearthstone and Marvel Snap. Though traditionally played in person, PCs are now the preferred format for many DCCG competitors.

One of the most unique developments in the world of PC gaming is the rise of AI-driven laptops and PCs. These powerful devices are designed to handle even more complex processing challenges. Both their hardware and software are advanced, and designed to handle machine-learning tasks.

If you’ve been considering an AI-driven laptop to improve your gaming experience, here are some of the products you should keep an eye on.

The metrics

The best AI-driven laptops and PCs have a performance-focused processor. Some of the best for AI-driven tasks are Intel Core i7 and i9—but you’ll have other options, too. Along with the processor, focus on the device’s graphics card—the higher, the better.

But keep a look out for storage, as the same is true for RAM. Better storage relates to faster loading times and general responsiveness—which are hugely important for gamers who need to avoid even a millisecond of lag. The NVMe SSDs are considered the best in the industry in 2024.

Alienware Aurora R14

In terms of actual products, the Alienware Aurora R14 is one of the best choices for AI-driven gaming. That’s because it has all of the most advanced hardware features, including a graphics card from NVIDIA GeForce, an Intel Core i9 processor, and 32GB of RAM. That’s fast, accurate, and advanced gaming at its best.

MSI Trident X

This PC is a little bit different in that it focuses on being more compact. Oftentimes, the more advanced the PC, the bulkier the hardware becomes. That’s not the case with the MSI Trident X. Despite its compact size, it has the Intel Core i9 processor, NVIDIA GeForce Graphics Card, and 32GB of storage—all the same as the Alienware Aurora, just in a slightly more manageable package.

HP Omen Obelisk

With the HP Omen Obelisk, the focus is on customisation. The AI-driven PC includes all the same features as the other two products—even down to the brands used. However, it also offers tool-free access to the interior, which makes both maintenance and upgrading a breeze. Unsurprisingly, it also has a glass side window that makes observing the hardware enjoyable.

HP Spectre x360 14

If you need to get more out of your AI-driven PC than gaming sessions, then the HP Spectre is a great option. (Although it’s a laptop—not a PC.) Its robust features will take your gaming sessions to the next level while also handling other types of demanding tasks, from graphic design to video editing. The sheer range of options makes this one popular for anyone who also needs a professional device.

ASUS ROG Zephyrus G14

This option is slightly more affordable than others on the list—though you’ll notice the more limited features. Specifically, it has less storage than the other AI-driven PCs, along with a slightly less powerful processor. But it still packs a huge punch into its space-saving laptop hardware, which makes it a solid option for most gamers.

The post Best AI-driven laptops and PCs appeared first on AI News.

The role of AI in gаme design

Proсeԁurаl content generаtion

One of the most signifiсаnt imрасts of AI in gаme ԁesign is рroсeԁurаl сontent generаtion (PCG). PCG аllows ԁeveloрers to сreаte vаst, ԁynаmiс gаme worlԁs аnԁ exрerienсes thаt саn аԁарt аnԁ evolve in reаl-time.

Insteаԁ of mаnuаlly ԁesigning every аsрeсt of а gаme, ԁeveloрers саn use аlgorithms to generаte сontent suсh аs levels, lаnԁsсарes, аnԁ even entire nаrrаtives. This аррroасh ensures thаt eасh рlаyer’s exрerienсe is unique аnԁ fresh, сontributing to greаter engаgement аnԁ reрlаyаbility.

Enhаnсeԁ Non-Plаyer Chаrасters (NPCs)

AI is аlso сruсiаl in ԁeveloрing more reаlistiс аnԁ intelligent NPCs. Trаԁitionаlly, NPCs followeԁ рreԁetermineԁ sсriрts, mаking their асtions рreԁiсtаble аnԁ sometimes frustrаting for рlаyers. However, with AI, NPCs саn now leаrn аnԁ аԁарt bаseԁ on рlаyer behаviour, сreаting more engаging аnԁ immersive interасtions.

These AI-ԁriven NPCs offer а more рersonаliseԁ аnԁ ԁynаmiс gаming exрerienсe, mаking the virtuаl worlԁ feel more аlive аnԁ resрonsive to рlаyer асtions.

Bаlаnсing gаme diffiсulty

Bаlаnсing the ԁiffiсulty of а gаme is а сhаllenging tаsk for ԁeveloрers. Too eаsy, аnԁ рlаyers lose interest; too hаrԁ, аnԁ they mаy beсome frustrаteԁ. AI саn helр by аnаlysing рlаyer behаviour аnԁ аԁjusting the diffiсulty level in reаl-time.

This ԁynаmiс diffiсulty аԁjustment ensures thаt рlаyers remаin engаgeԁ аnԁ сhаllengeԁ without feeling overwhelmeԁ, mаintаining аn oрtimаl bаlаnсe thаt саters to ԁifferent skill levels аnԁ рreferenсes.

AI in enhаnсing plаyer exрerienсes

Personаliseԁ gаming exрerienсes

AI’s аbility to аnаlyse vаst аmounts of ԁаtа аllows for highly рersonаliseԁ gаming exрerienсes. By trасking рlаyer рreferenсes, behаviour, аnԁ рerformаnсe, AI саn tаilor сontent аnԁ reсommenԁаtions to inԁiviԁuаl рlаyers. This рersonаlisаtion саn rаnge from suggesting in-gаme items аnԁ quests, to аԁjusting the gаme’s storyline bаseԁ on рlаyer сhoiсes.

Suсh tаiloreԁ exрerienсes mаke рlаyers feel more сonneсteԁ to the gаme, enhаnсing their overаll enjoyment аnԁ sаtisfасtion.

Reаl-time anаlytiсs аnԁ feeԁbасk

AI enаbles reаl-time аnаlytiсs аnԁ feeԁbасk, аllowing ԁeveloрers to unԁerstаnԁ рlаyer behаviour аnԁ рreferenсes better. This ԁаtа саn be useԁ to imрrove gаme ԁesign, fix bugs, аnԁ introԁuсe new feаtures. Plаyers benefit from а сontinuously evolving gаme thаt meets their exрeсtаtions аnԁ ԁesires.

Reаl-time аnаlytiсs аlso helр ԁeveloрers сreаte more engаging аnԁ bаlаnсeԁ gаmeрlаy, аԁԁressing issues аnԁ oррortunities аs they аrise.

The imрасt of AI on online slot gaming

One of the most intriguing аррliсаtions of AI in gаming is in online саsinos. Innovative bitcoin pokies, or slot mасhines, leverаge AI to offer а more engаging аnԁ seсure gаmbling exрerienсe – particularly, through the use of bitcoin payments on the casino platform. However, this could be taken to the next level with the integration of AI, as it leads to better security and more interesting gameplay features. For example, some games may incorporate elements of skill or strategy, where AI opponents can provide a challenging and dynamic gaming experience.

Moreover, AI-ԁriven рokies can аnаlyse рlаyer behаviour to сreаte рersonаliseԁ gаming exрerienсes, ensuring thаt eасh slot gaming session is unique аnԁ tаiloreԁ to the рlаyer’s рreferenсes.

Moreover, the use of AI in bitсoin рokies can enhаnсe seсurity by ԁeteсting аnԁ рreventing frаuԁulent асtivities. AI аlgorithms саn iԁentify unusuаl раtterns аnԁ flаg рotentiаl threаts, ensuring а sаfer environment for рlаyers. This is particularly important in the cryptocurrency space, where anonymity can sometimes be exploited for illicit purposes.

AI-powereԁ customer suррort

AI is аlso revolutionising сustomer suррort in online саsinos. AI-ԁriven сhаtbots аnԁ virtuаl аssistаnts рroviԁe instаnt suррort to рlаyers, аԁԁressing their queries аnԁ issues in reаl-time. These AI-рowereԁ systems саn hаnԁle а wiԁe rаnge of tаsks, from ассount mаnаgement to troubleshooting teсhniсаl рroblems, and therefore enhаnсe the overаll рlаyer exрerienсe.

Enhаnсeԁ gаme fаirness аnԁ trаnsраrenсy

Fаirness аnԁ trаnsраrenсy аre сruсiаl in online gаmbling. AI helрs ensure thаt gаmes аre fаir by аnаlysing аnԁ monitoring gаmeрlаy to ԁeteсt аny аnomаlies or unfаir рrасtiсes. This trаnsраrenсy builԁs trust between рlаyers аnԁ online саsinos, fostering а more рositive аnԁ seсure gаming environment. AI аlgorithms саn аuԁit аnԁ verify the rаnԁomness of outсomes in bitсoin рokies, аssuring рlаyers thаt the gаmes аre not riggeԁ аnԁ thаt they hаve а fаir сhаnсe of winning.

Future prosрeсts of AI in gаming

Uрсoming teсh

AI is set to рlаy а signifiсаnt role in the ԁeveloрment of VR аnԁ AR gаmes. By сreаting more immersive аnԁ resрonsive virtuаl environments, AI саn enhаnсe the reаlism аnԁ interасtivity of VR аnԁ AR exрerienсes. This аԁvаnсement will oрen uр new рossibilities for gаme ԁesign аnԁ рlаyer engаgement.

AI-driven storytelling

The future of gаme storytelling lies in AI-ԁriven nаrrаtives. AI саn аnаlyse рlаyer сhoiсes аnԁ аԁарt the storyline ассorԁingly, сreаting ԁynаmiс аnԁ рersonаliseԁ nаrrаtives. This аррroасh ensures thаt eасh рlаyer’s journey is unique, enhаnсing reрlаyаbility аnԁ engаgement.

Aԁvаnсeԁ plаyer anаlytiсs

As AI teсhnology сontinues to evolve, the аbility to аnаlyse рlаyer ԁаtа will beсome even more soрhistiсаteԁ. This аԁvаnсement will enаble ԁeveloрers to сreаte more рreсise аnԁ рersonаliseԁ gаming exрerienсes, further blurring the line between the virtuаl аnԁ reаl worlԁs.

Conclusion

AI is unԁoubteԁly revolutionising gаme ԁesign аnԁ рlаyer exрerienсes. From intelligent NPCs to рersonаliseԁ gаming аnԁ enhаnсeԁ online experiences, the imрасt of AI is рrofounԁ аnԁ fаr-reасhing. In the future, we саn exрeсt even more innovаtive аnԁ immersive gаming exрerienсes.

The post How AI is revolutionising game design and player experiences appeared first on AI News.

About FRVR

Chris Benjaminsen and Brian Meidell, veterans of the video game industry, launched FRVR in 2014 intending to make games more accessible to anybody, at any time, and anywhere. Over the years, FRVR has led the quest to democratize game distribution by removing barriers that gamers may face when playing their favorite games.

Today on the FRVR platform, gamers can find a wide range of games spanning many genres that are playable on Mobile App Stores, Facebook Instant, Microsoft Windows via Windows Start, Samsung phones, Discord, Steam, Television, and even newer cars. Over 1.5 billion players worldwide have enjoyed the studio’s creations, with some games attracting over 100 million monthly users.

With no plans to abandon its mission of making games available to everyone, FRVR has expanded its efforts towards democratizing game development with the release of FRVR AI. This tool lets anybody, regardless of professional background or skill with code and art, create their own games they`d like to play.

How FRVR AI works

The idea behind FRVR AI is to make the game creation process accessible and simple for anyone who wants to express their creativity, whether it’s bringing a long-held vision to life or entering the game development field to monetize this craft further.

Getting started is extremely easy: users simply provide the AI model with a brief description of the game they wish to create. After that, FRVR’s AI engine develops the game’s basic structure, logic, and assets, making it playable right away. Further users can refine the gameplay or visuals by simply interacting with the tool through written instructions until they are satisfied with the final result.

The user-friendly layout of the tool is designed to help creators navigate around easily. FRVR AI is divided into five major sections: an input field for communication with the AI model, a live preview for game version playback, a history tab for viewing and modifying history, a code tab for examining source code, and an assets tab for creating and modifying visuals and sounds.

Beginners and experienced creators who are unsure about their next steps in game creation can always get assistance thanks to the tool`s strong self-direction function. FRVR AI can analyze the original game description, change history, and source code to automatically propose what it deems to be the next logical step for the game.

The generative AI capabilities produce ready visual components, and let users modify the size, color, and shape of objects to create a distinctive appearance for their games. Recently FRVR AI received an update that lets players add sound effects and backing audio for their creations, which can drastically enhance gameplay dynamics and improve immersion.

Like many other AI tools, FRVR AI provides record-keeping on all the prompts that the AI system receives as well as their outcomes. However, what makes it rather unique is the fact that it can revert to any previous state, making the users feel free to try out different options without fear of possibly ruining their game by making a wrong move.

Using FRVR AI is easy and efficient no matter what device the creators are working. The clear and user-friendly interface makes the experience fast and seamless on both computers, tablets, and smartphones, enabling the users to make games from anywhere at any time with the ability to capture and document ideas on the fly. Whether at home or on a trip, the FRVR AI would be a great companion for anyone starting a game development journey.

One amazing aspect of FRVR AI is how effortless it is for users to publish their creations on the FRVR platform. Simply clicking the share button allows a game to be included in the library granting access to anyone who wants to enjoy the newly crafted game.

Conclusion

FRVR AI is currently available in the beta version. Users can join at beta.frvr.ai and start working on their games after their submission is reviewed. The tool has already attracted a large community of over a thousand creators, including game developers and hobbyists, who constantly share their experiences and feedback. Creators can also enter monthly competitions with a $2,500 prize pool available to all users.

The team at FRVR keeps working on the tool and regularly releases new updates, improvements, and entire features. Through analyzing the creators’ feedback and keeping up with the trends, FRVR aims to make an inclusive platform where anyone, from newcomers to seasoned developers, can have a great time creating, sharing, and playing fun games.

The post FRVR AI makes game creation available to anyone appeared first on AI News.

Many games are being totally revolutionised by AI stepping onto the scene, so let’s get into the nitty-gritty of which games are changing, what’s happening, and how AI is leaving its footprint on this world of online casino games!

Personalisation in the slots

First up: personalisation. AI really shines when it comes to personalising the slots, because an AI can analyse each player’s individual behaviour and start tailoring what the game shows to match. Imagine you’re playing at your favourite slot, and you get a bunch of free spins come up – but none of them are quite what you wanted and they’re just not doing it for you today. We all know that feeling of disappointment… and honestly, it gets directed at the company, because why don’t they know you better than that? Isn’t marketing meant to be good these days?

Well, AI is changing all that and cutting the frustration that comes with it! It is capable of tracking what bonuses you use and what games you play (and even when and how you play them), and that means that suddenly, casinos can offer much more tailored options when you’re playing on the slots. Free spins for your favourite game ever, just as you sit down to relax on a Friday night? Yes, that’s much more likely now! 

Personalised bonus games? These are also creeping onto the scene, along with game features that are specifically honed to tick your “like” box and give you the best possible gaming experience. And it’s only because of AI that this is becoming possible – sure, casinos tried to offer this kind of personalisation in the past, but it was simply too much for humans to manage.

Of course, you must have been playing the slots for a while for this to work; the AI is dependent on having historical data of how you play and when you play to bring up these offers. The longer you’ve been playing and the more consistent your patterns are, the better the AI will be able to come up with offers that are perfect for you. As this system improves, maybe we’ll see slots that are completely unique for each individual – it could happen! And as AI becomes increasingly accepted and legislation is put into place for it, we’re going to see more and more innovation in this space.

Learning about bluffing in poker

How do you teach a computer to bluff? We’re not going to pretend it’s easy; it’s proven a major challenge for those building AIs, getting a computer to mimic a human’s ability to deceive other players. However, we’re pretty much there, and AIs can now be incorporated into the online world of poker – one of the most popular casino games on the planet.

So, first off, they have created an AI that’s good at poker; there’s been major progress in advancing how the absolute best AI can play, and it’s doing well. However, that’s not actually enough for casinos: they don’t want an AI that can beat human players every time, because who would ever play against that? They need an AI that can understand nuance, make mistakes occasionally, and lose – but in convincing ways that are still satisfying to play against. Now that’s a real challenge!

But if they’re successful, there’s going to be big rewards: some people would much rather play against a computer than other humans, provided the computer makes a satisfying opponent. This is likely to be an ongoing process as the AIs master how to play in each context, but it already looks promising to us! Of course, there are wary about teaching computers how to lie effectively… after all, sci-fi books and films have shown us exactly why that could be a bad idea. For the casino industry, though, it’s looking tantalising. 

Conclusion

AI isn’t “big” in most casino games yet, because it hasn’t had time to infiltrate them… but we’re likely to see it edging in from the fringes and changing more and more things about how we play and enjoy games online as the years come. It’s overly exciting to imagine how it might revolutionise classic games like poker, blackjack, roulette, the slots, and more. However, we’re just going to have to “wait and see” here, because AI is only just unfolding its metaphorical wings and starting to flap.

The post AI in casino games: A whole new world waiting to be dealt appeared first on AI News.

Across the world, we’re seeing more and more efforts to ramp up AI and make the most of the talent seen in this space, but what effect is this having on how the world works and what we’re seeing? Casinos are an amazing example, so let’s jump in!

Better safety and security

We all think of online casinos as pretty safe places anyway – nobody’s going to be spending money at a casino they think is disreputable, after all. As long as you pick a reputable casino to play at? You’re not really going to need to worry too much about data theft or whether your financial details are safe… but many people still do. Fortunately, AI is ratcheting up the safety bar!

How? Well, one of AI’s biggest strengths lies in its amazing ability to keep an eye on what’s going on all the time, so it’s super-fast at detecting when something is wrong. If you’re not sure how that works, it basically watches users’ behaviour patterns, analyses how they are playing, notes any anomalies, tracks responses, and so much more, and all of that information means that it notices when something’s amiss – fast. That means it’s seriously swift and accurate when it comes to identifying fraudulent activity.

Casinos can put this to a very practical use: noticing if an individual’s account has been hacked or if they’re behaving in unusual ways that could indicate something is awry. This maximises the security and means that they can shut down fraud fast when it’s occurring – making everyone who chooses to use these sites safer than ever before. Better online security practices? We say: yes, please!

Of course, you should still couple that with choosing reputable, high-end casinos, so you know they’re making the most of security options. Sites like https://thunderpick.io/esports are known for providing top-notch, secure games to their customers, and the whole platform is designed to maximise consumer safety – meaning you’ve got nothing to worry about while you play, and you can focus on taking home a win!

Enhanced rewards for players everywhere

Ever had an offer pop up that looks like it would be amazing, but it’s just not right for you? Maybe for a game that you don’t play, or limited to a timeframe that you can’t utilise? Those are almost worse than not getting an offer – you feel like you’re missing out and it’s frustrating and disappointing. We know the feeling; who hasn’t been there? And up to now, although casinos have done their best to avoid this happening, it does crop up – it’s just not avoidable when you’re working with limited datasets and humans.

However, AI is changing that; it’s capable of analysing vast amounts of data, which means it’s much better at identifying what players want and when they want it. The AI monitors the way you play, the times you play, the games you choose, the offers you utilise, and so much more – and then it takes all that information and turns it into something actually useful: offers tailored to your interests and playing style, which you can use to enhance your casino fun.

That works in the casinos’ favor too; they’re more likely to see loyal players, because they’ll be offering the best, most focused deals for that player, based on their previous gameplay. That means they’ll have more repeat customers, and they’ll be able to better meet their needs, enhancing customer satisfaction. It seems like everyone wins here!

And if you’re a fan of games that have in-game purchases? AI might be able to ensure you’re offered better, more tailored deals there too, meaning you get the very best for your money. Who’s going to say no to that?

Better games

Another area of enhancement? It lies in the games themselves: AI is already being used to improve the games that exist, but it’s also being utilised in the creation of brand-new games. We’re seeing more and more developers make use of AI to enhance the games they’ve built, offering enhanced graphics, more balanced challenges, increased fairness, and a whole lot more.

The future of game development looks bright with these tools available to developers everywhere, and as AI gets ever-better, the options are only going to increase and diversify, allowing for some truly incredible releases. We see great promise on the gaming horizon!

The potential is therefore clear; we see AI having a vast number of applications in making casino games even more enjoyable and increasing the number of players interested in engaging in the digital space. As online casinos grow year on year, it’s no surprise they’re looking for more ways to attract and captivate the players – and AI offers many avenues for doing just that.

The post How AI is making online casinos safer than ever before appeared first on AI News.

Introducing lightweight, industry-specific AI models for individual licence, SAS hopes to equip organisations with readily deployable AI technology to productionise real-world use cases with unparalleled efficiency.

Chandana Gopal, research director, Future of Intelligence, IDC, said: “SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings,

“An area that is ripe for SAS is productising models built on SAS’ core assets, talent and IP from its wealth of experience working with customers to solve industry problems.”

In today’s market, the consumption of models is primarily focused on large language models (LLMs) for generative AI. In reality, LLMs are a very small part of the modelling needs of real-world production deployments of AI and decision making for businesses. With the new offering, SAS is moving beyond LLMs and delivering industry-proven deterministic AI models for industries that span use cases such as fraud detection, supply chain optimization, entity management, document conversation and health care payment integrity and more.

Unlike traditional AI implementations that can be cumbersome and time-consuming, SAS’ industry-specific models are engineered for quick integration, enabling organisations to operationalise trustworthy AI technology and accelerate the realisation of tangible benefits and trusted results.

Expanding market footprint

Organisations are facing pressure to compete effectively and are looking to AI to gain an edge. At the same time, staffing data science teams has never been more challenging due to AI skills shortages. Consequently, businesses are demanding agility in using AI to solve problems and require flexible AI solutions to quickly drive business outcomes. SAS’ easy-to-use, yet powerful models tuned for the enterprise enable organisations to benefit from a half-century of SAS’ leadership across industries.

Delivering industry models as packaged offerings is one outcome of SAS’ commitment of $1 billion to AIpowered industry solutions. As outlined in the May 2023 announcement, the investment in AI builds on SAS’ decades-long focus on providing packaged solutions to address industry challenges in banking, government, health care and more.

Udo Sglavo, VP for AI and Analytics, SAS, said: “Models are the perfect complement to our existing solutions and SAS Viya platform offerings and cater to diverse business needs across various audiences, ensuring that innovation reaches every corner of our ecosystem. 

“By tailoring our approach to understanding specific industry needs, our frameworks empower businesses to flourish in their distinctive Environments.”

Bringing AI to the masses

SAS is democratising AI by offering out-of-the-box, lightweight AI models – making AI accessible regardless of skill set – starting with an AI assistant for warehouse space optimisation. Leveraging technology like large language models, these assistants cater to nontechnical users, translating interactions into optimised workflows seamlessly and aiding in faster planning decisions.

Sgvalo said: “SAS Models provide organisations with flexible, timely and accessible AI that aligns with industry challenges.

“Whether you’re embarking on your AI journey or seeking to accelerate the expansion of AI across your enterprise, SAS offers unparalleled depth and breadth in addressing your business’s unique needs.”

The first SAS Models are expected to be generally available later this year.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post SAS aims to make AI accessible regardless of skill set with packaged AI models appeared first on AI News.

Using AI in gambling experiences opens up new dimensions of interactivity and engagement. AI algorithms can optimise live dealer games, making them more responsive and adaptable to player preferences. 

Enhanced personalisation and user experience

Artificial Intelligence has significantly altered the landscape of online gambling, offering a more personalised gaming experience. The technology analyses player behaviour, preferences, and playing patterns, tailoring game recommendations accordingly. 

The adaptive approach allows AI to refine its suggestions continuously, ensuring each player’s experience is unique and aligned with their interests.

The algorithms employed in this process are sophisticated and capable of understanding nuanced player preferences. As players engage with various games, AI observes and learns, making adjustments to recommendations based on evolving playing styles or interests. 

As a result, players get a more streamlined and enjoyable gaming experience, as they are presented with games that closely match their preferences.

Intelligence in marketing and profit management

AI has revolutionised marketing strategies within the gambling industry. It enables operators to analyse the most popular games and identify underperforming machines. AI helps craft effective marketing campaigns and maximise profits by understanding player preferences. For example, targeted welcome offers and free spins attract new players and retain existing ones.

Furthermore, AI-driven casino analytics assist operators in identifying low-profit games, enabling them to make informed decisions about technological adjustments to improve revenues.

Rewards-based system intelligence

Online gambling algorithms also play a crucial role in managing loyalty programs. AI enables operators to tailor VIP rewards based on player activity, enhancing customer retention. By analysing player behaviour, casinos can adjust reward levels and make VIP tiers more attainable or desirable, increasing player satisfaction and loyalty.

Security and fraud detection

The use of AI in the online gambling sector marks a pivotal shift in how security is managed and maintained. AI, especially through machine learning algorithms, has emerged as a formidable tool in enhancing the security of these platforms, addressing a spectrum of challenges that were previously difficult to manage.

Machine learning algorithms, a core component of AI, excel in detecting anomalies in betting patterns, which is crucial in identifying and preventing fraudulent activities. These algorithms analyse vast amounts of data in real-time, learning from player behaviours to identify patterns that deviate from the norm.

Game development and innovation

In game development, AI is enhancing existing games and also aiding in creating new ones. Developers use AI to generate dynamic content, adjust game difficulty in real-time based on player performance, and test new game mechanics. It results in more engaging and versatile games, offering a level of personalisation and dynamism previously unattainable​​.

The technological revolution is not just confined to digital gaming platforms but extends to options for live play, enhancing real-time gambling experiences in ways previously unimagined.

Conclusion

The impact of AI on the gambling industry is both extensive and multifaceted. From enhancing user experiences through personalisation to bolstering security, AI’s role in this sector is undeniably transformative. However, it is crucial to navigate the ethical and practical challenges AI poses to ensure its integration benefits all stakeholders in the gambling industry. 

(Photo by Erik Mclean on Unsplash)

The post How will AI impact the gambling industry? appeared first on AI News.

At the core of DEPT®’s approach is the strategic utilisation of large language models. Briski articulated the delicate balance between the ‘pioneering’ and ’boutique’ ethos encapsulated in their tagline, “pioneering work on a global scale with a boutique culture.”

While ‘pioneering’ and ’boutique’ evokes innovation and personalised attention, ‘global scale’ signifies the broad outreach. DEPT® harnesses large language models to disseminate highly targeted, personalised messages to expansive audiences. These models, Briski pointed out, enable DEPT® to comprehend individuals at a massive scale and foster meaningful and individualised interactions.

“The way that we have been using a lot of these large language models is really to deliver really small and targeted messages to a large audience,” says Briski.

However, the integration of AI into various domains – such as retail, sports, education, and healthcare – poses both opportunities and challenges. DEPT® navigates this complexity by leveraging generative AI and large language models trained on diverse datasets, including vast repositories like Wikipedia and the Library of Congress.

Briski emphasised the importance of marrying pre-trained data with DEPT®’s domain expertise to ensure precise contextual responses. This approach guarantees that clients receive accurate and relevant information tailored to their specific sectors.

“The pre-training of these models allows them to really expound upon a bunch of different domains,” explains Briski. “We can be pretty sure that the answer is correct and that we want to either send it back to the client or the consumer or some other system that is sitting in front of the consumer.”

One of DEPT®’s standout achievements lies in its foray into the web3 space and the metaverse. Briski shared the company’s collaboration with Roblox, a platform synonymous with interactive user experiences. DEPT®’s collaboration with Roblox revolves around empowering users to create and enjoy user-generated content at an unprecedented scale. 

DEPT®’s internal project, Prepare to Pioneer, epitomises its commitment to innovation by nurturing embryonic ideas within its ‘Greenhouse’. DEPT® hones concepts to withstand the rigours of the external world, ensuring only the most robust ideas reach their clients.

“We have this internal project called The Greenhouse where we take these seeds of ideas and try to grow them into something that’s tough enough to handle the external world,” says Briski. “The ones that do survive are much more ready to use with our clients.”

While the allure of AI-driven solutions is undeniable, Briski underscored the need for caution. He warns that AI is not inherently transparent and trustworthy and emphasises the imperative of constructing robust foundations for quality assurance.

DEPT® employs automated testing to ensure responses align with expectations. Briski also stressed the importance of setting stringent parameters to guide AI conversations, ensuring alignment with the company’s ethos and desired consumer interactions.

“It’s important to really keep focused on the exact conversation you want to have with your consumer or your customer and put really strict guardrails around how you would like the model to answer those questions,” explains Briski.

In December, DEPT® is sponsoring AI & Big Data Expo Global and will be in attendance to share its unique insights. Briski is a speaker at the event and will be providing a deep dive into business intelligence (BI), illuminating strategies to enhance responsiveness through large language models.

“I’ll be diving into how we can transform BI to be much more responsive to the business, especially with the help of large language models,” says Briski.

As DEPT® continues to redefine digital paradigms, we look forward to observing how the company’s innovations deliver a new era in AI-powered experiences.

DEPT® is a key sponsor of this year’s AI & Big Data Expo Global on 30 Nov – 1 Dec 2023. Swing by DEPT®’s booth to hear more about AI and LLMs from the company’s experts and watch Briski’s day one presentation.

The post Bob Briski, DEPT®:  A dive into the future of AI-powered experiences appeared first on AI News.

Gaming QA testers regularly come under fire as bug-riddled games reach the hands of disappointed gamers with seemingly increasing prevalence.

The backlash QA testers receive from frustrated gamers is often misplaced. Managers are often aware that games are full of bugs but decide to release unfinished games anyway in the hope of starting to recoup development costs.

However, proper QA testing is a time-consuming and resource-intensive process. On the PAX stage, Booty explained how a game needs to be re-tested from start to finish whenever a feature is added.

“Some of the processes that we have [currently] haven’t really kept up with how quickly we can make content. One of those is testing,” Booty said.

“There’s a lot going on with AI and ML right now, and people using AI to generate all these images. What I always say when I bump into the AI folks, is: ‘Help me figure out how to use an AI bot to go test a game.’”

If bugs can be caught earlier in the development process, they have a greater chance of being fixed prior to management feeling the financial pressure to send the game to market regardless.

The full ‘Storytime with Matt Booty’ talk can be viewed here. At around 01:02:00, you can hear Booty explain his vision for AI in game testing.

“I would love to be able to start up ten thousand instances of a game in the cloud – so there are ten thousand copies of the game running – deploy an AI bot to spend all night testing that game, and in the morning we get a report. That would be transformational,” explains Booty.

Booty’s core idea of improving QA testing with AI is solid. However, the way it was presented – of replacing human testers – may not go down too well. Mistreatment of QA testers in the gaming industry has led to a growing call for their members to unionise.

(Photo by Jose Gil on Unsplash)

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

The post Xbox’s Matt Booty wants to see QA testers replaced by AI appeared first on AI News.