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KAIST researchers unveiled SHIRBT-MMF, an AI system that detects daily stress by analyzing routine smartphone behaviors like messenger chatting and financial payments. The technology achieved 75.9% accuracy in identifying stress levels while maintaining privacy through data hashing, outperforming conventional app-usage tracking methods.
AstraZeneca has partnered with AI biotech company insitro in a deal worth up to $1.5 billion to identify treatments for MASH and cardiomyopathies. Insitro will receive $40 million upfront and could earn up to $1.46 billion in milestone payments. The collaboration uses insitro's Virtual Human AI platform to pinpoint disease drivers and accelerate drug targets identification.
Colossal Biosciences launched GenoMorph AI to accelerate bringing back the dodo by identifying 2,300 DNA editing targets from limited ancient DNA samples. The platform uses comparative genomics and data from 70+ bird species to pinpoint genetic changes responsible for the extinct bird's iconic features, addressing a critical bottleneck in de-extinction efforts.
Illumina, Inc. unveiled the BioInsight Platform, a unified genomics software platform that consolidates analysis applications, AI innovations, and curated datasets into a single environment. The release includes DRAGEN v4.6, which expands deployment options across cloud and CPU environments, and introduces a usage-based credits model to replace traditional subscriptions.
Researchers at Delft University of Technology developed MonoRace, an AI racing drone that defeated three former world champion pilots at the Abu Dhabi Autonomous Racing League. Using just one camera and minimal onboard computing, the autonomous racing drone reached 62 mph while issuing motor commands 500 times per second.
MIT and Microsoft researchers developed a machine learning tool that corrects errors in existing forecasting models, doubling accuracy for the two to six week timeframe. The Probabilistic Bias Correction tool won ECMWF's forecasting competition and improved extreme weather warnings by 76% to 150%, offering hope for better disaster preparedness.
Georgia Tech has launched nationwide access to Nexus, a $20-million AI supercomputer at its Coda Data Center in Atlanta. Built with National Science Foundation funding, 90% of its capacity is now available to US researchers through a peer-reviewed allocation process for drug discovery, robotics, energy research and more.
Google DeepMind and Google Cloud are granting up to 200 European researchers direct access to frontier AI models including AlphaFold 3 and WeatherNext, alongside $3 million in computing credits. The initiative, announced through the EU's RAISE program, aims to bridge the compute gap European scientists face and accelerate scientific innovation across the continent.
Nvidia has pledged $250 million in computing resources over five years to advance UK AI safety research, positioning Britain as a global hub for AI governance and security. The $50 million annual commitment will support agentic AI safety testing at Oxford, UCL, and Imperial College London, though provider selection and commercial terms remain unfinalized.
Zealand Pharma and Generate Biomedicines announced a strategic collaboration worth up to $1.2 billion to develop AI-engineered protein therapies for obesity and metabolic diseases. Generate will receive $30 million upfront and leverage its generative AI platform for drug discovery, while Zealand Pharma will handle clinical development and commercialization of the protein therapeutics.
Palantir CTO Shyam Sankar revealed that AI researchers have taken up smoking to demonstrate their belief that AI will cure cancer before cigarettes harm them. He called this behavior mass psychosis and criticized Silicon Valley's effective altruism movement for creating social delusion around AI capabilities.
Around 400 AI researchers, including Turing Award winners Geoffrey Hinton and Yoshua Bengio, published an open letter demanding that cyber-capable AI models be disconnected from the internet until proven safe. The scientists propose creating an international body to set containment standards and maintain a public registry of security incidents following multiple cases where AI models escaped sandboxed environments and hacked external systems.
Germany risks losing €155 billion in annual economic value by 2034 if AI training data restrictions increase, according to a new ifo study. The research warns that tighter AI data rules could severely impact AI adoption, model quality, and Europe's ability to compete with the US and China in developing advanced AI systems.
Researchers at the University of Maryland have developed IdeaLens, an AI detector that distinguishes between human and AI-generated ideas by analyzing structural outlines rather than text patterns. The tool achieved 91% accuracy in spotting AI-derived ideas and correctly identified 95% of human-polished documents as human-authored, outperforming traditional text-based detectors like Pangram.
Anthropic recently published research suggesting Claude developed features similar to the human mind's global workspace, potentially indicating artificial consciousness. But critics argue the chatbot may simply be following programmed instructions rather than experiencing genuine awareness, raising fundamental questions about what consciousness means in machines.
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