Technology Networks

How Machine Learning Is Reshaping Drug Discovery

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
IEEE

Methodological Framework for Optimizing the Reliability Improvement of Power Electronic Converter Systems: Mathematical Problem Formulation and Topology-Agnostic Optimization ...

Abstract: Given the ubiquity of power electronic converter (PEC) systems, they often represent the weakest link in terms of reliability within modern power and energy systems in different applications ...
Tech Xplore

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
AZoRobotics

AI in Vaccine Development: How Machine Learning is Speeding Up Discovery

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...
IEEE

Solve Large-Scale Unit Commitment Problems by Physics-Informed Graph Learning

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...
Edutopia

Student-Created Math Word Problems Help Motivate Deep Learning

During my time as a learning support math teacher, I always had a daily word problem on my board for students to work on when they first walked into my classroom. To be completely honest, this ...
Mashable

'The Smashing Machine' review: Dwayne Johnson delivers a career-changing performance, but there's one big problem

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. The ways he does this are ...