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'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
Tech Xplore

Physics-aware AI algorithm uses Newton's third law to keep simulations stable

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

A few weeks of X's algorithm can make you more right-wing—and it doesn't wear off quickly

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...

Efficient Computer raises $60M to keep AI devices running for months on end

Efficient Computer Co. says it’s going to make the dream of low-energy artificial intelligence computing a reality after raising $60 million in early-stage funding today.
Nature

Quantum computers will finally be useful: what’s behind the revolution

Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that could solve complex tasks, such as predicting how chemicals react or cracking ...
IEEE

Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading

Abstract: This study presents an innovative approach for optimizing real-time energy market trading strategies by integrating Proximal Policy Optimization (PPO) with Quantum Annealing (QA). The ...
Computer Weekly

Chiba University unveils algorithm to reduce blockchain delay in IoT networks

Researchers from Chiba University have developed a lightweight peer-selection algorithm that significantly reduces data propagation delays without increasing resource usage on internet of things (IoT) ...
IEEE

Comparing Traditional Computer Vision Algorithms and Deep Convolutional Neural Networks as Self Driving Algorithms for Use in Dynamic Conditions

Abstract: This research develops, compares, and analyzes both a traditional algorithm using computer vision and a deep learning model to deal with dynamic road conditions. In the final testing, the ...