MSI's latest high-end gaming laptops, including the Titan 18 HX AI, Raider 18 HX AI, and Vector 16 HX AI, feature Intel Core Ultra 200 HX series CPUs and NVIDIA RTX 50 series GPUs, while Raider A18 HX and Vector A18 HX run on AMD Ryzen 9000 series. With NVIDIA's last major GPU upgrade in over two years, these laptops deliver top-tier performance for ultra-high-resolution gaming. Beyond gaming, MSI's Titan, Raider, Vector, and Stealth series excel in AI applications, particularly Small Language Models (SLM), making them ideal for both gaming and AI-driven tasks.

Next-Gen GPUs: A Breakthrough for AI Applications
NVIDIA's latest RTX 50 series GPUs, built on the cutting-edge Blackwell architecture, introduce 5th-generation Tensor Cores, 4th-generation RT Cores, and Neural Rendering technology for the first time. With expanded memory capacity and GDDR7, these GPUs optimize AI-enhanced neural computations, reducing memory usage while boosting graphics rendering and AI processing efficiency. This results in unmatched performance for both gaming and creative workloads, enabling smoother, more efficient execution of complex tasks.

IBM and Lenovo today announced at LEAP 2025 a planned expansion of their strategic technology partnership designed to help scale the impact of generative AI for clients in the Kingdom of Saudi Arabia. IDC expects annual worldwide spending on AI-centric systems to surpass $300 billion by 2026, with many leading organizations in Saudi Arabia exploring and investing in generative AI use cases as they prepare for the emergence of an "AI everywhere" world.

Building upon their 20-year partnership, IBM and Lenovo will collaborate to deliver AI solutions comprised of technology from the IBM watsonx portfolio of AI products, including the Saudi Data and Artificial Intelligence Authority (SDAIA) open-source Arabic Large Language Model (ALLaM), and Lenovo infrastructure. These solutions are expected to help government and business clients in the Kingdom to accelerate their use of AI to improve public services and make data-driven decisions in areas such as fraud detection, public safety, customer service, code modernization, and IT operations.

Have you ever dreamed of having a real conversation with an NPC in a video game? Not just one gated within a dialogue tree of pre-determined answers, but an actual conversation, conducted through spontaneous action and reaction? Lately, a small R&D team at Ubisoft's Paris studio, in collaboration with Nvidia's Audio2Face application and Inworld's Large Language Model (LLM), have been experimenting with generative AI in an attempt to turn this dream into a reality. Their project, NEO NPC, uses GenAI to prod at the limits of how a player can interact with an NPC without breaking the authenticity of the situation they are in, or the character of the NPC itself.

Considering that word—authenticity—the project has had to be a hugely collaborative effort across artistic and scientific disciplines. Generative AI is a hot topic of conversation in the videogame industry, and Senior Vice President of Production Technology Guillemette Picard is keen to stress that the goal behind all genAI projects at Ubisoft is to bring value to the player; and that means continuing to focus on human creativity behind the scenes. "The way we worked on this project, is always with our players and our developers in mind," says Picard. "With the player in mind, we know that developers and their creativity must still drive our projects. Generative AI is only of value if it has value for them."

Qualcomm Technologies, Inc. unveiled its latest advancements in artificial intelligence (AI) at Mobile World Congress (MWC) Barcelona. From the new Qualcomm AI Hub, to cutting-edge research breakthroughs and a display of commercial AI-enabled devices, Qualcomm Technologies is empowering developers and revolutionizing user experiences across a wide range of devices powered by Snapdragon and Qualcomm platforms.

"With Snapdragon 8 Gen 3 for smartphones and Snapdragon X Elite for PCs, we sparked commercialization of on-device AI at scale. Now with the Qualcomm AI Hub, we will empower developers to fully harness the potential of these cutting-edge technologies and create captivating AI-enabled apps," said Durga Malladi, senior vice president and general manager, technology planning and edge solutions, Qualcomm Technologies, Inc. "The Qualcomm AI Hub provides developers with a comprehensive AI model library to quickly and easily integrate pre-optimized AI models into their applications, leading to faster, more reliable and private user experiences."

Oracle today announced the addition of generative AI-powered capabilities within Oracle Fusion Cloud Human Capital Management (HCM). Supported by the Oracle Cloud Infrastructure (OCI) generative AI service, the new capabilities are embedded in existing HR processes to drive faster business value, improve productivity, enhance the candidate and employee experience, and streamline HR processes.

"Generative AI is boosting productivity and unlocking a new world of skills, ideas, and creativity that can have an immediate impact in the workplace," said Chris Leone, executive vice president, applications development, Oracle Cloud HCM. "With the ability to summarize, author, and recommend content, generative AI helps to reduce friction as employees complete important HR functions. For example, with the new embedded generative AI capabilities in Oracle Cloud HCM, our customers will be able to take advantage of large language models to drastically reduce the time required to complete tasks, improve the employee experience, enhance the accuracy of workforce insights, and ultimately increase business value."

According to The Information, Microsoft has been working on creating custom processors for processing AI with a project codenamed Athena. Based on TSMC's 5 nm process, these chips are designed to accelerate AI workloads and scale to hundreds or even thousands of chips. With the boom of Large Language Models (LLMs) that require billions of parameters, training them requires a rapid increase of computational power to a point where companies purchase hundreds of thousands of GPUs from the likes of NVIDIA. However, creating custom processors is a familiar feat for a company like Microsoft. Hyperscalers like AWS, Google, and Meta are already invested in the creation of processors for AI training, and Microsoft is just joining as well.

While we don't have much information about these processors, we know that Microsoft started the project in 2019, and today these processors are in the hands of select employees of Microsoft and OpenAI that work with AI projects and need computational horsepower. Interestingly, some projections assume that if Microsoft could match NVIDIA's GPU performance, the cost would only be a third of NVIDIA's offerings. However, it is challenging to predict that until more information is provided. Microsoft plans to make these chips more widely available as early as next year; however, there is no specific information on when and how, but Azure cloud customers would be the most logical place to start.

The UK Treasury has set aside a budget of £900 million to invest in the development of a supercomputer that would be powerful enough to chew through more than one billion billion simple calculations a second. A new exascale computer would fit the bill, for utilization by newly established advanced AI research bodies. It is speculated that one key goal is to establish a "BritGPT" system. The British government has been keeping tabs on recent breakthroughs in large language models, the most notable example being OpenAI's ChatGPT. Ambitions to match such efforts were revealed in a statement, with the emphasis: "to advance UK sovereign capability in foundation models, including large language models."

The current roster of United Kingdom-based supercomputers looks to be unfit for the task of training complex AI models. In light of being outpaced by drives in other countries to ramp up supercomputer budgets, the UK Government outlined its own future investments: "Because AI needs computing horsepower, I today commit around £900 million of funding, for an exascale supercomputer," said the chancellor, Jeremy Hunt. The government has declared that quantum technologies will receive an investment of £2.5 billion over the next decade. Proponents of the technology have declared that it will supercharge machine learning.