105 articles
The United States has released Trinity Large, a new open-source language model positioned as comparable to GLM 4.5, marking a notable moment in the global AI landscape.
A January 2026 governance framework establishes principles for managing risks and accountability in autonomous AI systems as their adoption grows across industries.
Researchers at Switzerland's EPFL have created a robotic hand that can detach from its arm, crawl independently to reach objects, and reconnect afterward—expanding what robots can do beyond traditional designs.
GLM-4.7-Flash just became the smartest open-weights AI under 100B parameters, hitting a 30-point score on the latest Intelligence Index and crushing larger models with clever efficiency tricks.
Baidu unveils ERNIE 5.0, a next-generation omni-modal AI model that processes text, images, audio, and video through a single unified framework, featuring 2.4 trillion parameters with under 3% activation per inference for efficient multimodal reasoning.
Researchers from China's leading universities have cracked open the "black box" of AI by mapping how large language models actually function through six distinct lifecycle stages, revealing both breakthroughs and critical gaps in our understanding.
XPeng debuts its Iron humanoid robot with a strikingly human-like design as mass production accelerates in 2025, marking a significant milestone in the competitive humanoid robotics landscape.
A structured data generation pipeline has been introduced to improve security alignment in code-focused language models. The approach combines real-world vulnerabilities, synthetic data, and preference learning.
New BabyVision benchmark shows top AI vision models perform like toddlers on pure visual reasoning tests, exposing a 20% performance gap compared to six-year-old children.
Hefei University of Technology researchers developed a breakthrough method that taps into AI models' internal truth detection during reasoning processes, significantly outperforming traditional techniques in mathematical, symbolic, and commonsense problem-solving tasks.
DeepSeek just dropped a research paper on Engram—a new conditional and scalable memory module built to make large language models way more efficient. The timing's got everyone buzzing about what their next-gen model might look like.
Robotics startup 1X just dropped a major upgrade to Neo's "brain" – a world model that lets the humanoid robot imagine outcomes, reason through tasks, and adapt to new objects it's never seen before. This isn't just incremental progress; it's a leap toward robots that can actually think before they act.
Spirit AI's latest v1.5 model has taken the lead on the RoboChallenge Table30 benchmark, achieving a 50.33% success rate and outperforming all other open-source robotic foundation models.
Advanced AI systems have independently produced formally verified solutions to two previously unsolved Erdős problems, demonstrating a significant leap in machine-driven mathematical discovery.
Leading AI models are holding the top ranking for barely over a month these days, showing just how crazy fast the competition in artificial intelligence has become.
Chinese AI lab DeepSeek is gearing up to drop its V4 model around mid-February, and early buzz points to some seriously impressive coding performance that could shake up the competition.
Deep Robotics put its quadruped robot through a live emergency rescue drill, showing off its ability to handle rough terrain, spot fires, and work in areas with no signal connectivity.
ModelScope has launched Qwen-Image-2512-Fast, a new AI image generation model that delivers up to 20x faster performance while maintaining image quality, generating images in as few as 4 to 8 inference steps.
The newest Artificial Analysis Intelligence Index reveals performance rankings across 10 major AI benchmarks, with Gemini 3 Pro Preview (High) and GPT-5.2 Thinking X-High tied at the top spot.
Edge AI's rapid development poses the biggest long-term challenge to AI data center growth, as devices increasingly run models locally at zero marginal cost instead of relying on expensive cloud infrastructure.
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Eseandre Mordi
Usman Salis
Victoria Bazir
Peter Smith
Marina Lyubimova
Saad Ullah
Alex Dudov
