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A new study from arXiv (2607.09684v1) evaluating Scientific Machine Learning methods including Neural ODEs, PINNs, and UDEs across 23 countries finds that none of the models achieve consistently strong macroeconomic fore…
A new framework decomposes image-based diagnosis into components following the Toulmin model of argumentation, using a machine learning model for retinal diagnosis, a biomarker extraction model for grounds, a MedGemma ag…
The x86 Ecosystem Advisory Group has released a whitepaper and specification for ACE (AI Compute Extensions), a new accelerator type for Intel's AMX instruction set that introduces outer product instructions and FP8 supp…
MIT researchers have developed a new auditing method called Gaussian probing that can detect whether an AI model has been fine-tuned to generate child sexual abuse material (CSAM) with 100% accuracy without ever producin…
MIT CSAIL and Toyota Research Institute have developed SceneSmith, a framework using three AI agents powered by GPT-5.2 to build detailed 3D virtual environments for robot training, generating scenes with up to six times…
London Strategic Edge launched the largest free archive of market data, offering 133 billion ticks across 118,000 datasets including stocks, options, forex, crypto, and macroeconomics. The platform also provides free str…
Researchers at Aleph Neuro have developed a prototype silent speech system that uses an ultrasound probe and machine learning to read tongue movements and decode them into speech, achieving a 15.6% error rate with 50 hou…
Brain-computer interfaces are transitioning from science fiction to practical reality, offering new solutions for individuals with neural impairments. Advances in AI and machine learning are driving rapid improvements in…
A developer built a hybrid Transformer-BiLSTM system for multi-horizon Bitcoin price prediction using PyTorch, processing over 87,000 training generations. The system uncovered critical machine learning pitfalls includin…
A new data-driven pipeline reduces GPU requirements for LLM adapters by 60% by predicting optimal resource allocation. The system uses a digital twin, a distilled machine learning model, and a greedy placement algorithm …
Researchers have developed DrugAgent, a multi-agent system using large language models to assess drug-target interactions, achieving 98.8% faithfulness to input evidence on kinase screening data. The system integrates ma…
Scientists used machine learning to analyze strain data from California's San Andreas Fault, discovering hidden slow-slip events that may influence low-frequency earthquakes. The findings bring researchers closer to unde…
Meta has filed a patent for an AI device that tracks users' moods by listening to their voice throughout the day, using machine learning to interpret verbal and nonverbal cues. Privacy advocates warn the technology could…
IBM researchers unveiled a new generative AI model architecture called Continued Fraction Generative Networks (CoFrGeNets) at the International Conference on Machine Learning in Seoul, which fundamentally alters transfor…
Researchers warn that human-elephant conflicts in southern Africa are intensifying due to human population growth, land-use expansion, and climate-driven water deficits, with machine learning models predicting a 33-100% …
Clusy, an agent-native notebook platform for machine learning and data science, launches as an alternative to Jupyter Notebook. Users describe outcomes in plain language, and the Clusy agent plans, writes, and runs noteb…
Smart fintech founders are shifting focus from consumer-facing apps to building financial infrastructure, including AI-powered tools for CFOs, stablecoin-based payment systems, embedded finance APIs, small business finan…
Researchers from the GRAPES-3 collaboration at the Tata Institute of Fundamental Research have developed a machine learning pipeline to distinguish secondary muon and punch-through hadron tracks in the GRAPES-3 muon tele…
A new 'humanizer' tool released on 20 June by Jie Ding, a machine-learning researcher at the University of Minnesota, can erase signs of AI-written text in papers and grant proposals. While some researchers praise it for…
The Pentagon awarded AeroVironment an $80.5 million task order for its Titan-MS AI-powered counter-drone system to protect nuclear bases, following unauthorized drone incursions at Barksdale Air Force Base. The system us…