TMCnet

MicroAlgo Inc. Develops Optimal Precise Quantum Query Algorithm Based on Sum-of-Squares Representation Form of Boolean Functions

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the proposal of a new approach to solving the Boolean function query problem. This framework starts from the ...

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
Hosted on MSN

How AI is reshaping student life and learning

AI is becoming a core part of higher education, transforming how students study, research, and engage with coursework. From AI tutors like UT Sage to advanced research assistants, these tools promise ...

WRD wants to do for language learning what GPS did for navigation — remove the thinking

WRD’s own research, published on the app’s website, shows that users following this approach reach the same levels of ...
TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
JD Supra

Can you patent your AI? New guidance in Canada and the US for software and AI inventors

Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...
Scientific Research Publishing

Reinforcement Learning Based Optimization of Sleep Mood Circadian Dynamics in Bipolar Disorder: A Simulation Study ()

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Bipolar disorder (BD) is closely intertwined ...
IEEE

Trajectory Optimization for Reusable Launch Vehicles Based on a Reinforcement Learning Heuristic Hybrid Algorithm

Abstract: Rapid trajectory optimization for reusable launch vehicle (RLV) has become a focus in aerospace research; however, its inherent nonlinearities and multiple constraints make it highly ...
Frontiers

Optimizing hip exoskeleton assistance pattern based on machine learning and simulation algorithms: a personalized approach to metabolic cost reduction

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...
IEEE

Research on Deep Learning-Based Optimization Algorithms for IoT Communication

Abstract: The rapid proliferation of Internet of Things (IoT) devices has brought new challenges in designing efficient, adaptive, and communication-aware optimization strategies under strict resource ...