Quantum Machine Learning Benefits From Added Noise, Study Reveals
Operational noise, typically detrimental to quantum systems, unexpectedly improves the performance of newly constructed quantum kernels. Source: quantumzeitgeist.com
Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
204 articles
Operational noise, typically detrimental to quantum systems, unexpectedly improves the performance of newly constructed quantum kernels. Source: quantumzeitgeist.com
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you'd like to support this, please subscribe. Source: importai.substack.com
A study that claimed OpenAI's ChatGPT can positively impact student learning has been retracted nearly one year after publication. Source: arstechnica.com
Penn engineers built an AI math tool that solves inverse PDEs faster and more reliably, even with noisy data. Source: thebrighterside.news
Penn Engineers develop new framework for inverse partial differential equation learning, which could help researchers infer hidden dynamics in systems... Source: eurekalert.org
Genetic prediction of type 1 diabetes is one of the most successful for complex traits. A machine learning approach now improves this further and discovers... Source: nature.com
Large Language Models (LLMs) demonstrate their reasoning ability through chain-of-thought (CoT) generation. However, LLM's autoregressive… Source: machinelearning.apple.com
A new debiasing approach called WRING resolves the "Whac-a-Mole dilemma" of existing debiasing approaches that can create or amplify existing biases. Source: news.mit.edu
In a groundbreaking development poised to revolutionize medical research across borders, a team of scientists led by Zhou, D., Tong, H., and Wang,... Source: bioengineer.org
Japanese researchers trained cultured rat cortical neurons to autonomously generate complex temporal signals using a real-time machine learning… Source: inkl.com
Researchers at Gladstone Institutes have built a temporal foundation model that forecasts cell state trajectories across the human lifespan — and... Source: marktechpost.com
At Carnegie Mellon University, a new initiative will bring together experts in AI, statistics and astrophysics to accelerate that shift. Source: cmu.edu
Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir computing. Source: neurosciencenews.com
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised... Source: news-medical.net
One of the most influential scientific and philosophical viewpoints is "More is Different," introduced in 1972 by Nobel Prize–winning physicist Philip W. Source: techxplore.com
Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences. Source: news-medical.net
Air pollution has emerged as a major public health challenge worldwide. Numerical simulations and single-site machine-learning approaches in air quality... Source: nature.com
A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task that was previously carried out... Source: asiaresearchnews.com
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented... Source: phys.org
Researchers at KIT analyze materials science literature; combination of large language models and machine learning indicates trends for future research. Source: eurekalert.org