Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Space.comOpinion

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
IEEE

Error Mitigation for TDoA UWB Indoor Localization Using Unsupervised Machine Learning

Abstract: Indoor positioning systems based on ultrawideband (UWB) technology are gaining recognition for their ability to provide cm-level localization accuracy. However, these systems often encounter ...
IEEE

A Novel Approach to Responding to Key Data Anomalies Using Unsupervised Learning: Work In Progress

Abstract: The Student Information System (SIS) plays a crucial role in managing educational data, supporting policy-making, planning, and budget allocation, including the School Operational Assistance ...
The Guardian Nigeria

Engineer Urinrinoghene Omughelli tackles persistent cloud security, reliability challenges using independently developed predictive AI frameworks

Urinrinoghene Lauretta Omughelli, a Nigerian cloud infrastructure and artificial intelligence (AI) systems engineer, is ...
Forbes

Tesla Deploys Robotaxis With Nobody In Them. Are They Unsupervised?

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...