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Cellarity has published groundbreaking research in Nature Communications introducing ToxPredictor, an AI model that predicts drug-induced liver injury with 88% sensitivity. The company has made the model and DILImap dataset publicly available to advance drug safety evaluation.
OpenAI introduces GPT-5.1 Instant and Thinking models featuring eight personality presets and improved performance, while facing mounting copyright lawsuits and regulatory scrutiny that could impact future operations.
NVIDIA's Blackwell Ultra architecture sweeps all seven MLPerf Training v5.1 benchmarks, delivering unprecedented AI training performance with its GB300 NVL72 system. The platform achieves a record 10-minute training time for Llama 3.1 405B using breakthrough NVFP4 precision technology.
Florida Atlantic University researchers compared classical and quantum machine learning approaches for detecting chronic kidney disease, finding that while classical methods currently outperform quantum algorithms, quantum computing holds significant potential for future healthcare diagnostics.
The NHS is launching a major trial of AI technology across 15 hospitals to analyze MRI scans for prostate cancer, potentially reducing diagnosis times from weeks to a single day while addressing radiologist shortages and improving patient outcomes.
Meta's Superintelligence Labs debuts an open-source automatic speech recognition system supporting over 1,600 languages, including 500 previously untranscribed low-resource languages. The system uses zero-shot learning to extend coverage to potentially 5,400+ languages.
Researchers at POSTECH have developed a machine learning model that predicts drug toxicity in humans by analyzing biological differences between animal models and humans, potentially preventing dangerous clinical trial failures.
SoundHound AI reports record Q3 revenue growth and raises 2025 outlook while CEO claims the company outperforms industry giants by 35-40% in accuracy. The voice AI company is expanding into new verticals including automotive, healthcare, and voice commerce.
Google is preparing to launch two major AI models: Gemini 3 Pro optimized for coding with a 1 million context limit, and Nano Banana 2 featuring multi-stage image generation with native 2K support and 4K upscaling capabilities.
Beijing-based Moonshot AI has released Kimi K2 Thinking, an open-source reasoning model that reportedly outperforms OpenAI's GPT-5 and Anthropic's Claude Sonnet 4.5 on key benchmarks, costing only $4.6 million to train compared to billions spent by US competitors.
YouTube's AI-powered age verification system has rolled out a second wave of restrictions, incorrectly flagging adult users as minors and forcing them to choose between content limitations or sharing personal identification data.
A comprehensive Oxford study exposes critical flaws in AI benchmarking methods, finding that 84% of tests lack scientific rigor and many fail to accurately measure claimed capabilities like reasoning and safety.
Microsoft researchers tested AI agents in a simulated marketplace and found they struggle with basic tasks, are easily manipulated, and perform poorly when given too many options, raising serious questions about their readiness for real-world deployment.
Microsoft has officially launched MAI-Image-1, its first fully in-house AI image generator, now available in Copilot and Bing Image Creator. The model has already achieved top 10 rankings on LMArena and is being praised for its photorealistic quality and improved hand generation.
A comprehensive Michigan State University study reveals that while AI can sometimes detect human deception, it performs inconsistently and shows significant bias, falling short of human accuracy in most scenarios.
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