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C&EN4d
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
IEEE6d
A Novel Machine Learning-Based Power Trading Algorithm (MLPTA) for Demand Side Management (DSM) - IEEE Xplore
Prosumers are those type of consumers that consume as well as produce the electrical energy. The recent research work is focused on finding more optimal solutions to the power trading scenarios in ...
Credo's Connectivity Flywheel Spins Up AI Profit Potential
Credo Technology Group Holding Ltd's energy-efficient SerDes and AEC cables power AI data centers with faster upgrades and ...
archive13d
Introduction to machine learning with Python : a guide for data scientists
Ask the publishers to restore access to 500,000+ books. The Internet Archive keeps the record straight by preserving government websites, news publications, historical documents, and more. If you find ...
IEEE18d
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their ...
Science Daily26d
Machine learning algorithm brings long-read sequencing to the clinic
SAVANA uses a machine learning algorithm to identify ... "SAVANA changes this. By training the algorithm directly on long-read sequencing data from cancer samples, we created a new method that ...
Medical Xpress26d
Machine learning algorithm brings long-read sequencing to the clinic - Medical Xpress
Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.