Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
201 articles
Researchers led by Professor Sungjin Ahn at KAIST's School of Computing have created NEO (Neural Theorizer), an AI model that learns executable theories explaining how the world works. The system is inspired by how children develop understanding through observation rather than explicit instruction. Source: eurekalert.org
WISER and E.ON wrapped up a joint research project testing hybrid quantum machine learning methods to improve electricity demand predictions. The collaboration aimed to see whether quantum-enhanced models could outperform classical approaches in forecasting accuracy. Source: thequantuminsider.com
A new roundup compiles insights from five academic papers and experts at three AI organizations, including NVIDIA and MIT, on how LLM scaling laws are evolving. The analysis brings together differing perspectives from researchers and labs studying model size, data, and compute trends. Source: aimultiple.com
Since the Higgs boson's discovery at CERN in 2012, scientists have wondered whether it has undetected siblings within an extended particle family. Researchers are now using machine learning techniques to narrow down where such additional Higgs-like particles might be hiding in collider data. Source: phys.org
By integrating reinforcement learning with quantum error correction, we showed that a quantum computer can continuously adapt to drift and remain stable... Source: research.google
Artificial intelligence research from Dr. Nitin Agarwal at the University of Arkansas at Little Rock has earned international recognition after a... Source: ualr.edu
Machine learning flags ADMET liabilities earlier, but knowing when to trust it still matters most. Source: drugdiscoverynews.com
New research shows some problems cannot be solved by AI, even with unlimited data, revealing key limits of machine learning. Source: thebrighterside.news
Nvidia scientists and their counterparts at a range of academic, scientific, and quantum computing institutions late last year published a research paper... Source: nextplatform.com
University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for studying the genome and created a... Source: phys.org
Machine learning ranks targets fast, but only genetics and bench experiments confirm they actually work. Source: drugdiscoverynews.com
Many rural communities in Ethiopia's Amhara region lack electricity access despite substantial urban-rural disparities. Traditional surveys are costly and... Source: nature.com
Editor's note: Machine learning is deeply integrating into weather and climate modeling systems. From short-term weather forecasting to long-term climate... Source: eu.36kr.com
Specialized LLMs, AI-assisted CT scans for early detection, and foundational models democratizing pathology are among emerging technologies in oncology... Source: cancernetwork.com
A machine-learning system called AnomalyMatch processed 99.6 million small image cutouts derived from the Hubble Legacy Archive in roughly two and a half. Source: spacedaily.com
Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI demonstrates brain-faithful training... Source: techtimes.com
A machine learning tool that analyzes information already captured in a child's electronic health record helped pediatricians more accurately assess asthma... Source: medicalxpress.com
Can a large language model (LLM) improve at code generation using only its own raw outputs, without a verifier, a teacher model, or… Source: machinelearning.apple.com
Machine-learning models now enable near ab initio simulations of complex molecular and condensed-phase systems. At the same time, accurately describing... Source: publishing.aip.org
Researchers developed an AI-powered speech neuroprosthesis that decodes high-density intracortical signals into fluent, high-fidelity synthetic speech. Source: neurosciencenews.com