Latest AI (Artificial Intelligence) News
AI dominates CES with humanoid robots, âAI PCs,â and nextâgen data center chips
At the yearâs biggest tech show, CES, AI again took center stage, from humanoid robots for factory work to voiceâcontrolled home appliances and nextâgeneration AI chips powering data centers. Nvidia previewed its next dataâcenter computing platform for AI workloads, scheduled for release in the second half of the year, reinforcing its central role in the current AI boom.
Executives from Intel, Qualcomm, Lenovo and others also highlighted a shift toward running more AI locally on PCs and devices, not just in the cloud.
Chinaâs media outlines 10 major global AI trends for 2026, stressing governance and âGreen AIâ
China Media Group released a report naming **globalization of AI governance**, scaled intelligent computing, and mainstream AI adoption as top trends for 2026. The report emphasizes âGreen AIâ amid surging dataâcenter electricity demand, and highlights Chinaâs upgraded AI Safety Governance Framework 2.0, which seeks a crossâborder, crossâindustry model for safe and controllable AI.
It also forecasts advances in embodied robots, neuromorphic computing, and âAI for Scienceâ across materials, astrophysics, and drug discovery.
Global AI race boosts Asian tech stocks as investors bet on regional leadership
Asiaâs technology shares have started 2026 strongly, driven in large part by investor bets on the regionâs role in the global AI race. Analysts note that Asian chipmakers and platform companies are seen as key beneficiaries of rising AI infrastructure spending and demand for AI services, helping them outperform some U.S. peers at the start of the year.
This momentum reflects expectations that AIârelated capital expenditure and policy support in Asia will remain robust.
China moves to restrict foreign access to its AI talent and tools
Chinese authorities are tightening control over domestic AI expertise and technologies, sending a clear warning to U.S. tech firms to stay away from its AI talent and tools. According to reporting on new policy moves and investigations, Beijing is scrutinizing crossâborder tech deals and collaboration arrangements that could transfer advanced AI knowâhow abroad.
The measures underscore how AI has become a strategic asset intertwined with national security and industrial policy.
AI infrastructure set to converge power, cooling, memory, and energy systems in 2026
Industry analysts expect 2026 to mark deeper convergence between **AI chips**, advanced cooling, highâbandwidth memory, and energy systems in data centers. With inference at scale now putting sustained pressure on memory bandwidth, forthcoming HBM4 memory and higherâbandwidth optical interconnects are forecast to become foundational for nextâgeneration AI clusters.
Liquid cooling is moving toward a default in many highâdensity deployments, while storage vendors roll out ultraâlowâlatency SSDs tailored to AI training and inference workloads.
Investors brush off âAI bubbleâ fears despite massive dataâcenter spending
Despite concerns that AIâdriven dataâcenter investment has outpaced nearâterm demand, executives and investors at CES showed little fear of an imminent AI bubble. S&P Global estimates that tech companies poured more than US$61 billion into AIâfocused data centers in 2025, with Goldman Sachs projecting AI capital expenditure above US$500 billion this year.
Some analysts have likened the scale to a bubble many times larger than the dotâcom era, but major chip and device makers argue they are focused on building tangible AI products and local processing capabilities.
New lensâfree AIâenabled imaging system breaks traditional optical limits
University of Connecticut researchers unveiled the Multiscale Aperture Synthesis Imager (MASI), which uses multiple sensors and heavy computation to capture ultraâsharp images without lenses. The system records raw diffraction patterns on distributed sensors and then uses software to synchronize phases and reconstruct wideâfield, subâmicronâresolution images from previously impossible distances.
Researchers say the computational approach, which leans on advanced algorithms, could transform fields from medical diagnostics and forensics to industrial inspection and remote sensing.
Brainâcell âorganoid intelligenceâ startups blur line between biology and AI
Researchers and startups are racing to build computing systems from human brain tissueâsoâcalled **organoid intelligence**âas a potential alternative or complement to conventional AI hardware. Ventureâbacked companies are exploring applications from drug discovery to complex prediction tasks, while academic teams have proposed using organoidâbased systems for tasks such as forecasting oil spill trajectories in the Amazon by 2028.
Scientists caution that, despite hype, current organoid systems show only simple adaptive behaviors and nothing close to humanâlike intelligence or consciousness.
AI for science accelerates breakthroughs in materials, astrophysics, and drug design
The CMG trends report highlights **âAI for Scienceâ** as a fastâmaturing area where models generate hypotheses, design experiments, and help validate results across fundamental research. Applications cited include materials science, astrophysics, and life sciences, such as antibody design and novel drug molecule discovery, where AI is speeding progress from initial idea to proofâofâconcept.
This reflects a broader global push to embed large models and simulationâaware AI tools directly into scientific workflows.
2026 framed as a pivotal year for AI operating systems and embodied AI products
Industry analysis describes 2026 as a year when major U.S. and Chinese firms lay foundations for new **AI operating systems** and commercial embodiedâAI products. At CES, companies showcased useâcaseâspecific robots, AIâenhanced vehicles, and smart glasses, reflecting a shift from standalone models to integrated systems where software and physical machines are tightly coupled.
Automotive, energy, and robotics firms are particularly active in deploying charging robots, inspection systems, and humanoid components powered by advanced AI.