We're stepping up our multiplatform gaming offering with exciting news dropping at this year's Game Developers Conference (GDC). We're bringing users more games, more ways to play your games across devices, and improved gameplay. You can read all about the updates for users from The Keyword. At GDC, we'll be diving into all of the latest games coming to Play, plus new developer tools that'll help improve gameplay across the Android ecosystem.

We're sharing a closer look at what's new from Android. We're making Vulkan the official graphics API on Android, enabling you to build immersive visuals, and we're enhancing the Android Dynamic Performance Framework (ADPF) to help you deliver longer, more stable gameplays. Check out our video, or keep reading below.

NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing. The NVIDIA Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing. The NVAQC will help solve quantum computing's most challenging problems, ranging from qubit noise to transforming experimental quantum processors into practical devices.

Leading quantum computing innovators, including Quantinuum, Quantum Machines and QuEra Computing, will tap into the NVAQC to drive advancements through collaborations with researchers from leading universities, such as the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems (EQuS) group at the Massachusetts Institute of Technology (MIT).

Large language models (LLMs) love large quantities of memory—so much so, in fact, that AI enthusiasts are turning to multi-GPU setups to make even more VRAM available for their AI apps. But since many current LLMs are extremely large, even this approach has its limits. At times, the GPU will decide to make use of CPU processing power for this data, and when it does, the performance of your CPU cache and DRAM comes into play. All this means that when it comes to the performance of AI applications, it's not just the GPU that matters, but the entire pathway that connects the GPU to the CPU to the I/O die to the DRAM modules. It stands to reason, then, that there are opportunities to boost AI performance by optimizing these elements.

That's exactly what we've found as we've spent time in our R&D labs with the latest AMD Ryzen CPUs. AMD just launched two new Ryzen CPUs with AMD 3D V-Cache Technology, the AMD Ryzen 9 9950X3D and Ryzen 9 9900X3D, pushing the series into new performance territory. After testing a wide range of optimizations in a variety of workloads, we uncovered a range of settings that offer tangible benefits for AI enthusiasts. Now, we're ready to share these optimizations with you through a new BIOS feature: AI Cache Boost. Available through an ASUS AMD 800 Series motherboard and our most recent firmware update, AI Cache Boost can accelerate performance up to 12.75% when you're working with massive LLMs.

Microsoft launched its Majorana 1 chip—the world's first quantum processor powered by a Topological Core architecture—last month. The company's debuting of its Majorana design was celebrated as a significant milestone—in 2023, an ambitious roadmap was published by Microsoft's research department. At the time, a tall Majorana particle-based task was set: the building of a proprietary quantum supercomputer within a decade. Returning to the present day; outside parties have criticized Microsoft's February announcements. The Register published an investigative piece earlier today, based on quotes from key players specializing in the field of Quantum studies. Many propose a theoretical existence of Majorana particles, while Microsoft R&D employees have claimed detection and utilization. The Register referred back to recent history: "(Microsoft) made big claims about Majorana particles before, but it didn't end well: in 2021 Redmond's researchers retracted a 2018 paper in which they claimed to have detected the particles."

As pointed out by Microsoft researcher Chetan Nayak; their latest paper was actually authored last March 2024, but only made public in recent weeks. Further details of progress are expected next week, at the American Physical Society (APS) 2025 Joint March Meeting. The Register has compiled quotes from vocal critics; starting with Henry Legg—a lecturer in theoretical physics at the University of St Andrews, Scotland. The noted scholar believes—as divulged in a scientific online comment—that Microsoft's claimed Quantum breakthrough: "is not reliable and must be revisited." Similarly, collaborators from Germany's Forschungszentrum Jülich institute and the University of Pittsburgh, USA released a joint video statement. (Respectively) Experimental physicist Vincent Mourik and by Professor Sergey Frolov outlined: "distractions caused by unreliable scientific claims from Microsoft Quantum."

ASML Holding N.V. (ASML) and imec, a leading research and innovation hub in nanoelectronics and digital technologies, today announce that they have signed a new strategic partnership agreement, focusing on research and sustainability. The agreement has a duration of five years and aims to deliver valuable solutions in two areas by bringing together ASML's and imec's respective knowledge and expertise. First, to develop solutions that advance the semiconductor industry and second, to develop initiatives focused on sustainable innovation.

The collaboration incorporates ASML's whole product portfolio, with a focus on developing high-end nodes, using ASML systems including 0.55 NA EUV, 0.33 NA EUV, DUV immersion, YieldStar optical metrology and HMI single- and multi-beam technologies. These tools will be installed in imec's state-of-the-art pilot line and incorporated in the EU- and Flemish-funded NanoIC pilot line, providing the most advanced infrastructure for sub-2 nm R&D to the international semiconductor ecosystem. Focus areas for R&D will also include silicon photonics, memory and advanced packaging, offering full stack innovation for future semiconductor-based AI applications in diverse markets.

Hello Director! We're happy to announce that all owners of will be receiving a free content update. The update is hitting PC players (Steam and Epic Games Store, GOG to follow later) today, including several improvements to support newer hardware. In the near future we will release this same update for PlayStation 5 and Xbox Series X|S platforms. We have a small team working on these updates so we want to space them out to give us time to fix potential issues that might come up. We appreciate your patience! Keep an eye on our social channels for the exact date and time, as well as update notes.

Control Ultimate Edition contains the main game and all previously released Expansions ("The Foundation" and "AWE") in one great value package. A corruptive presence has invaded the Federal Bureau of Control…Only you have the power to stop it. The world is now your weapon in an epic fight to annihilate an ominous enemy through deep and unpredictable environments. Containment has failed, humanity is at stake. Will you regain control?

When the US imposed sanctions on Chinese semiconductor makers, China began the push for sovereign chipmaking tools. According to a study conducted by the Emerging Technology Observatory (ETO), Chinese institutions have dramatically outpaced their US counterparts in next-generation chipmaking research. Between 2018 and 2023, nearly 475,000 scholarly articles on chip design and fabrication were published worldwide. Chinese research groups contributed 34% of the output—compared to just 15% from the United States and 18% from Europe. The study further emphasizes the quality of China's contributions. Focusing on the top 10% of the most-cited articles, Chinese researchers were responsible for 50% of this high-impact work, while American and European research accounted for only 22% and 17%, respectively.

This trend shows China's lead isn't about numbers only, and suggests that its work is resonating strongly within the global academic community. Key research areas include neuromorphic, optoelectric computing, and, of course, lithography tools. China is operating mainly outside the scope of US export restrictions that have, since 2022, shrunk access to advanced chipmaking equipment—precisely, tools necessary for fabricating chips below the 14 nm process node. Although US sanctions were intended to limit China's access to cutting-edge manufacturing technology, the massive body of Chinese research suggests that these measures might eventually prove less effective, with Chinese institutions continuing to push forward with influential, high-citation studies. However, Chinese theoretical work is yet to be proven in the field, as only a single company currently manufactures 7 nm and 5 nm nodes—SMIC. Chinese semiconductor makers still need more advanced lithography solutions to reach high-volume manufacturing on more advanced nodes like 3 nm and 2 nm to create more powerful domestic chips for AI and HPC.

GlobalFoundries (GF) and the Massachusetts Institute of Technology (MIT) today announced a new master research agreement to jointly pursue advancements and innovations for enhancing the performance and efficiency of critical semiconductor technologies. The collaboration will be led by MIT's Microsystems Technology Laboratories (MTL) and GF's research and development team, GF Labs.

With an initial research focus on AI and other applications, the first projects are expected to leverage GF's differentiated silicon photonics technology, which monolithically integrates RF SOI, CMOS and optical features on a single chip to realize power efficiencies for datacenters, and GF's 22FDX platform, which delivers ultra-low power consumption for intelligent devices at the edge.

IBM today debuted the next generation of its Granite large language model (LLM) family, Granite 3.2, in a continued effort to deliver small, efficient, practical enterprise AI for real-world impact. All Granite 3.2 models are available under the permissive Apache 2.0 license on Hugging Face. Select models are available today on IBM watsonx.ai, Ollama, Replicate, and LM Studio, and expected soon in RHEL AI 1.5 - bringing advanced capabilities to businesses and the open-source community.

In nearly every corner of our lives, the buzz about AI is impossible to ignore. It's destined to revolutionize how we work, learn, and play. For those of us immersed in the world of gaming—whether as players or creators—the question isn't just how AI will change the game, but how it will ignite new possibilities.

At Xbox, we're all about using AI to make things better (and more fun!) for players and game creators. We want to bring more games to more people around the world and always stay true to the creative vision and artistry of game developers. We believe generative AI can boost this creativity and open up new possibilities. We're excited to announce a generative AI breakthrough, published today in the journal Nature and announced by Microsoft Research, that shows this potential to open up new possibilities—including the opportunity to make older games accessible to future generations of players across new devices and in new ways.

Shrinking components was (and still is) the main way to boost the speed of all electronic devices; however, as devices get tinier, making them becomes trickier. A group of scientists from SANKEN (The Institute of Scientific and Industrial Research), at Osaka University has discovered another method to enhance performance: putting a special metal layer known as a metamaterial on top of a silicon base to make electrons move faster. This approach shows promise, but the tricky part is managing the metamaterial's structure so it can adapt to real-world needs.

To address this, the team looked into vanadium dioxide (VO₂). When heated, VO₂ changes from non-conductive to metallic, allowing it to carry electric charge like small adjustable electrodes. The researchers used this effect to create 'living' microelectrodes, which made silicon photodetectors better at spotting terahertz light. "We made a terahertz photodetector with VO₂ as a metamaterial. Using a precise method, we created a high-quality VO₂ layer on silicon. By controlling the temperature, we adjusted the size of the metallic regions—much larger than previously possible—which affected how the silicon detected terahertz light," says lead author Ai I. Osaka.

Scientists have made a big step forward in data storage technology, they've managed to improve the manufacturing process for 3D NAND flash memory. This type of storage technology stacks memory cells on top of each other to obtain higher data density. A team of experts from Lam Research, the University of Colorado Boulder, and Princeton Plasma Physics Lab came up with a better way to etch (the process of carving holes into alternating layers of silicon oxide and silicon nitride) by using hydrogen fluoride plasma. This new method cuts vertical channels through silicon-based materials twice as fast as before achieving 640 nanometers in just one minute.

The team found out that mixing in certain chemicals like phosphorus trifluoride helps the etching process. They also learned that some byproducts can slow down etching, but adding water can help fix this problem. "The salt can decompose at a lower temperature when water is present, which can accelerate etching", said Yuri Barsukov, a former PPPL researcher now working at Lam Research. This breakthrough is important as the need for data storage received a huge boost with the rise of AI programs, that need tons of storage.

Google Security Research team has just published its latest research on a fundamental flaw in the microcode patch verification system that affects AMD processors from "Zen 1" through "Zen 4" generations. The vulnerability stems from an inadequate hash function implementation in the CPU's signature validation process for microcode updates, enabling attackers with local administrator privileges (ring 0 from outside a VM) to inject malicious microcode patches, potentially compromising AMD SEV-SNP-protected confidential computing workloads and Dynamic Root of Trust Measurement systems. Google disclosed this high-severity issue to AMD on September 25, 2024, leading to AMD's release of an embargoed fix to customers on December 17, 2024, with public disclosure following on February 3, 2025; however, due to the complexity of supply chain dependencies and remediation requirements, comprehensive technical details are being withheld until March 5, 2025, allowing organizations time to implement necessary security measures and re-establish trust in their confidential compute environments.

AMD has released comprehensive mitigation measures through AGESA firmware updates across its entire EPYC server processor lineup, from the first-generation Naples to the latest Genoa-X and Bergamo architectures. The security patch, designated as CVE-2024-56161 with a high severity rating of 7.2, introduces critical microcode updates: Naples B2 processors require uCode version 0x08001278, Rome B0 systems need 0x0830107D, while Milan and Milan-X variants mandate versions 0x0A0011DB and 0x0A001244 respectively. For the latest Genoa-based systems, including Genoa-X and Bergamo/Siena variants, the required microcode versions are 0x0A101154, 0x0A10124F, and 0x0AA00219. These updates implement robust protections across all SEV security features - including SEV, SEV-ES, and SEV-SNP - while introducing new restrictions on microcode hot-loading capabilities to prevent future exploitation attempts.

Today, OpenAI has announced a new ChatGPT feature called "Deep Research," which is capable of performing complex, multi-step research processes entirely on its own. Using so-called agents, which are autonomous bots working on top of the AI model, this feature searches the web and curates all needed information. This agentic behavior was trained on real-world browser usage, accompanied by Python code execution. Deep search, like OpenAI's o1 and o3 models, uses reinforcement learning, which steps back to "think" and creates a chain of thought before delivering users an answer to their question. Depending on the topic, deep research can take 5 to 30 minutes to search the web, crawl through data, and compile it in a reader-friendly manner.

Regarding benchmarks of its performance, OpenAI put out a lot of interesting comparisons and evaluations. Compared to all previous models, deep research gives these models additional context to help AI with more information. Thus, in evaluation benchmarks like Humanity's Last exam, deep research scored 26.6%, whereas o1 and o3-mini scored 9.1 and 13%, respectively. Other evaluations showed a modest improvement, while concrete comparisons were made in UX, business, and medical research. Turning the deep research feature on delivered more information every time, and you can see it for yourself here.

New technology from Chalmers University of Technology and the University of Gothenburg, Sweden, is helping the EU establish its own competitive computer manufacturing industry. Researchers have developed components critical for optimising on-chip memory, a key factor in enhancing the performance of next-generation computers.

The research leader, Professor Per Stenström, along with colleagues, has discovered new ways to make cache memory work smarter. A cache is a local memory that temporarily stores frequently accessed data, improving a computer's speed and performance. "Our solution enables computers to retrieve data significantly faster than before, as the cache can manage far more processing elements (PEs) than most existing systems. This makes it possible to meet the demands of tomorrow's powerful computers," says Per Stenström, Professor at the Department of Computer Science and Engineering at Chalmers University of Technology and the University of Gothenburg.

Jon Peddie Research (JPR) reports that shipments of integrated and standalone GPUs exceeded 251 million units in 2024, marking a 6% year-over-year rise. This growth continues to outpace the shipment figures for client CPUs, given that most desktop and laptop processors include built-in graphics, and that leading suppliers such as AMD and NVIDIA also provide tens of millions of discrete GPUs annually. Thanks to some earlier per-quarter data, we find that in the desktop segment, JPR shows that manufacturers shipped about 18.2 million discrete graphics cards in the first half of 2024—a 46% increase compared to the same period in 2023. However, shipments slowed in the third quarter, falling to 8.1 million units, down from 8.9 million units in Q3 2023.

Analysts partly attribute this dip to inventory adjustments at AMD, along with the end of product cycles for Ada Lovelace and RDNA 3 GPUs. Typically, the fourth quarter sees a boost in discrete GPU purchases as gamers gear up for new software releases. Yet it is not entirely clear whether that trend held through late 2024. Early indications suggest that total graphics card shipments for the year lightly exceed the totals from 2023, thanks primarily to strong demand in the first half. We still need data from Q4 of 2024 to see the trend in its final months of the year, despite knowing that the year-over-year growth is 6%. Nonetheless, current levels appear unlikely to approach the elevated peaks observed in 2021 or 2022.

Lam Research Corporation today announced that its innovative dry photoresist (dry resist) technology has been qualified for direct-print 28 nm pitch back end of line (BEOL) logic at 2 nm and below by imec, a leading research and innovation hub in nanoelectronics and digital technologies. An advanced patterning technique introduced by Lam, dry resist enhances the resolution, productivity and yield of extreme ultraviolet (EUV) lithography, a pivotal technology used in the production of next-generation semiconductor devices.

"Lam's dry photoresist technology provides unparalleled low-defectivity, high-resolution patterning," said Vahid Vahedi, chief technology and sustainability officer at Lam Research. "We are excited to offer this technology to imec and its partners as a critical process in the design and manufacturing of leading-edge semiconductor devices."

NVIDIA announced today it is opening its first Vietnam research and development center, signaling its confidence in the country's bright artificial intelligence future. The company is collaborating with the Vietnamese government to establish its new Vietnam Research and Development Center focused on AI. NVIDIA will use the R&D center to focus on software development, capitalizing on the country's strong talent pool of STEM engineers, and to engage industry leaders, startups, government agencies, universities and students to accelerate the adoption of AI.

"We are delighted to open NVIDIA's R&D center to accelerate Vietnam's AI journey," said Jensen Huang, founder and CEO of NVIDIA. "With our expertise in AI development, we will partner with a vibrant ecosystem of researchers, startups and enterprise organizations to build incredible AI right here in Vietnam."

The Biden administration is set to announce new, targeted restrictions on China's semiconductor industry, focusing primarily on emerging chip manufacturing equipment companies rather than broad industry-wide limitations. According to Bloomberg, these new restrictions are supposed to take effect on Monday. The new rules will specifically target two manufacturing facilities owned by Semiconductor Manufacturing International Corp. (SMIC) and will add select companies to the US Entity List, restricting their access to American technology. However, most of Huawei's suppliers can continue their operations, suggesting a more mild strategy. The restrictions will focus on over 100 emerging Chinese semiconductor equipment manufacturers, many of which receive government funding. These companies are developing tools intended to replace those currently supplied by industry leaders such as ASML, Applied Materials, and Tokyo Electron.

The moderated approach comes after significant lobbying efforts from American semiconductor companies, who argued that stricter restrictions could disadvantage them against international competitors. Major firms like Applied Materials, KLA, and Lam Research voiced concerns about losing market share to companies in Japan and the Netherlands, where similar but less stringent export controls are in place. Notably, Japanese companies like SUMCO are already seeing the revenue impacts of Chinese independence. Lastly, the restrictions will have a limited effect on China's memory chip sector. The new measures will not directly affect ChangXin Memory Technologies (CXMT), a significant Chinese DRAM manufacturer capable of producing high-bandwidth memory for AI applications.

Today at its inaugural IBM Quantum Developer Conference, IBM announced quantum hardware and software advancements to execute complex algorithms on IBM quantum computers with record levels of scale, speed, and accuracy.

IBM Quantum Heron, the company's most performant quantum processor to-date and available in IBM's global quantum data centers, can now leverage Qiskit to accurately run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. Users can now use these capabilities to expand explorations in how quantum computers can tackle scientific problems across materials, chemistry, life sciences, high-energy physics, and more.

The CHERI Alliance CIC (Community Interest Company) today announced its official launch and the expansion of its membership, welcoming Chevin Technology (UK), Critical Technologies (USA), the Defence Science and Technology Laboratory (DSTL, UK), Google (USA), Light Momentum Technology Corporation (Taiwan), National Cyber Security Centre (NCSC, a part of GCHQ, UK), Parvat Infotech (India), SRI International (USA), TechWorks (UK), Trusted Computer Center of Excellence (USA), the University of Birmingham (UK), and the University of Glasgow (UK) as founding members.

Founded to unite hardware security leaders and system developers, the CHERI Alliance aims to establish CHERI (Capability Hardware Enhanced RISC Instructions) as the new standard for memory safety and scalable software compartmentalization.

According to the market research firm Mercury Research, the desktop CPU market has witnessed a remarkable transformation, with AMD seizing a substantial 28.7% market share in Q3 of 2024—a giant leap since the launch of the original Zen architecture in 2017. This 5.7 percentage point surge from the previous quarter is a testament to the company's continuous innovation against the long-standing industry leader, Intel. Their year-over-year growth of nearly ten percentage points, fueled by the success of their Ryzen 7000 and 9000 series processors, starkly contrasts Intel's Raptor Lake processors, which encountered technical hurdles like stability issues. AMD's revenue share soared by 8.5 percentage points, indicating robust performance in premium processor segments. Intel, witnessing a decline in its desktop market share to 71.3%, attributes this shift to inventory adjustments rather than competitive pressure and still holds the majority.

AMD's success story extends beyond desktops, with the company claiming 22.3% of the laptop processor market and 24.2% of the server segment. A significant milestone was reached as AMD's data center division generated $3.549 billion in quarterly revenue, a new record for a company not even present in the data center in any considerable quantity just a decade ago. Stemming from strong EPYC processor sales to hyperscalers and cloud providers, along with Instinct MI300X for AI applications, AMD's acceleration of data center deployments is massive. Despite these shifts, Intel continues to hold its dominant position in client computing, with 76.1% of the overall PC market, held by its strong corporate relationships and extensive manufacturing infrastructure. OEM partners like Dell, HP, Lenovo, and others rely heavily on Intel for their CPU choice, equipping institutions like schools, universities, and government agencies.

To anyone following gaming with any sort of regularity, it's plain to see that Roblox is by far one of the biggest, if not the biggest game among young audiences. Now, a new report from Hindenburg Research claims that Roblox has not only misrepresented its user count but has also failed to protect minors, who make up as much as 60% of the game platform's users. After Hindenburg released the statement, Roblox responded to the claim denying the allegations, citing that it strictly enforces its community standards, although it admits that bots and inflated user counts are an issue the company actively tries to fight.

Hindenburg's report alleges that Roblox has repeatedly inflated its user figure, intentionally using vague language to mislead its investors about how many users it has. The organization also claims to have discovered several cases of sexual abuse and exploitation of minors on the platform, citing incidents involving kidnapping and sexual assault against minors that stemmed from in-game meetings.

It looks like Epic Games's Tim Sweeney was onto something earlier this week when he claimed that the gaming landscape is changing. According to new research by MIDiA Research, online PVP and couch co-op games are more popular than single-player games in audiences aged 16-24, with older audiences overwhelmingly preferring single-player games.

The researchers surveyed 9,000 gamers in the US, UK, Australia, Canada, Germany, France, Sweden, South Korea, and Brazil, giving the study a pretty diverse sample, in terms of socio-economic and cultural backgrounds. Regardless of age group, single-player and PVP games were always the most popular genres, although a solid 53% of the participants in the study said that single-player games were their preference.

Alongside German Chancellor Olaf Scholz, senior European government officials and European-based global enterprises, IBM (NYSE: IBM) today unveiled the first IBM Quantum Data Center located outside of the United States. It is the company's second quantum data center in the world and marks a significant expansion of its fleet of advanced, utility-scale quantum systems available to global users via the cloud.

Now online in Ehningen, Germany, Europe's first IBM Quantum Data Center includes two new utility-scale, IBM Quantum Eagle-based systems, and will soon feature a new IBM Quantum Heron-based system. These systems are capable of performing computations beyond the brute-force simulation capabilities of classical computers.