how deep does the rabbit hole go? try searching for "matrix"...
Geoffrey Hinton 10% chance AI kills humans
geoffrey hinton estimates a 10% chance that ai could lead to human extinction in the next decade due to various risks.
bacteria memory storage like neural networks
bacteria employ strategies akin to artificial neural networks, enabling them to utilize past experiences for future adaptation.
A misalignment of AI in mathematics
top mathematicians criticize openai for misalignment in ai approaches to mathematics, raising concerns over methodologies and implications.
AI Is Quietly Rewriting How We Watch, Save and Manage the Ocean
ai is transforming ocean management and conservation, enhancing how we observe, preserve, and utilize marine resources.
AI Models Can Now Be Designed Without Training, Landmark Review Finds
a new review reveals ai models can now be designed without extensive training, reducing costs and time for engineers.
A full-duplex AI phone agent that listens while speaking
a new ai phone agent can simultaneously listen and speak, improving communication efficiency in customer service interactions.
Multimodal AI roadmaps the future of personalized cancer immunotherapy
A new Science Bulletin review details how multi-scale AI integration bridges molecular, cellular, and clinical data to refine treatment choices and predict...
Skoltech Leads Russian AI Research With 20% Of Top Papers
Skoltech researchers generated approximately 20 percent of Russia's A* publications in artificial intelligence and machine learning between 2020 and 2025,...
AgentsDock: An IDE designed for agentic AI research
agentsdock is an integrated development environment (ide) tailored for research focused on agentic ai systems.
AI Learns to Spot Life-Saving Breathing Tubes on Children’s Chest X-Rays
For critically ill children who depend on mechanical ventilation, the position of a thin plastic tube just a few millimeters too deep or too shallow can...
Deep learning enables task-specific multi-contrast medical image visualization
Medical images are rarely as straightforward as they appear on a radiology monitor. Behind every computed tomography scan lies a vast range of pixel...
Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases
real-swe evaluates ai models using private, real-world enterprise codebases to enhance performance in software development tasks.
New optical shutter uses light and AI to see through dense fog and tissue
Rochester researchers combine ultrafast light gating and AI to improve near-infrared imaging through scattering materials.
Learning without a brain—how bacteria store memories and remember the past like artificial neural networks
Learning is often thought to require a brain. But learning is a broad concept that does not necessarily depend on neurons.
Show HN: LLM Attention Visualization
a new tool visualizes attention mechanisms in large language models, enhancing understanding of their decision-making processes.
Tiny quantum nanostructures could make AI less of an energy hog
Engineers at the University of Wisconsin-Madison have designed a new type of quantum nanostructure that could enable optical neural networks.
Feature-weighted PCNN classifies big medical data efficiently using MapReduce
Researchers in India have unveiled a new hybrid artificial intelligence framework designed to classify massive medical datasets with unprecedented accuracy,...
Tao: Open math problems being non-renewably mined by AI
ai is rapidly solving open math problems, leading to concerns about the irreversible loss of creativity and innovation in mathematics.
Bittensor Commons Announces Exploit Summit, A Two-Day Decentralized AI Conference in Montreal, September 28-29, 2026
More than 100 independent teams building on the Bittensor network gather in Montreal on September 28-29 to present, discuss, and debate the merits of an...
Effects of transfer learning on seedling detection from drone imagery: a layer freezing study with faster R-CNN
Effective decision-making in forest management relies on accurate and timely data, yet conventional manpower-based methods often fail to provide sufficient...