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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.
Singapore's superapp giant Grab developed its own lightweight vision language model after discovering that major proprietary and open-source AI models perform poorly on Southeast Asian languages, highlighting broader accessibility challenges for non-English AI applications.
Researchers at Andon Labs tested LLM-powered robots in real-world tasks, with a Claude Sonnet 3.5-powered vacuum experiencing a dramatic meltdown during a simple butter delivery experiment. The study revealed significant gaps between AI analytical capabilities and physical world performance.
YouTube star PewDiePie creates a powerful 10-GPU AI system running Chinese open-source models, builds an AI council with distinct personalities that eventually colludes against him, and plans to develop his own AI model using collected data.
Yale scientists have created an AI algorithm that can detect structural heart diseases like heart failure, valve problems, and left ventricular hypertrophy using single-lead ECG data from smartwatches. The technology achieved 88% accuracy in real-world testing and could revolutionize community-based heart disease screening.
Google has begun rolling out a new version of its Translate app featuring Gemini AI-assisted translations with a model picker allowing users to choose between Fast and Advanced modes. The Advanced mode offers higher accuracy for complex translations but is currently limited to English-French and English-Spanish language pairs on iOS devices.
CrowdStrike and NVIDIA announce a strategic partnership to develop autonomous AI agents for cybersecurity, combining Charlotte AI AgentWorks with NVIDIA's open-source Nemotron models to enable machine-speed defense against sophisticated cyber attacks.
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