A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

The machine learning (ML) revolution has drastically changed computation, and old computation paradigms have been overhauled and supplemented with new approaches in the last few years. This talk ...

Increasing surgical services revenue is a top priority for most health systems, but reliance on manual operating room scheduling and operational inefficiencies can impede these efforts. Often, poor ...

The special Collection “Machine learning for automated experimentation in STEM” explores all aspects of the integration of machine learning (ML) into STEM to transform experimental workflows. This ...

Telstra has completed a trial with Silicon Quantum Computing (SQC) that sought to apply quantum machine learning to boost network automation. The 12-month trial saw the pair leverage Watermelon, SQC’s ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

Our ability to record large-scale neural and behavioral data has substantially improved in the last decade. However, the inference of quantitative dynamical models for cognition and motor control ...

Researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research. University of Minnesota Twin Cities researchers have ...

Pay-per-click (PPC) advertising is rapidly transforming, especially with so many options for automation, with artificial intelligence (AI) and machine learning leading the charge. For businesses, ...