News

The 'pivot penalty': Exploring career risks for researchers who don't stay in their own lane
Yian Yin teamed up with economists at Northwestern University to look at the impact of researchers who had shifted their ...
Forget Bigger Models : This AI Breakthrough from Sakana AI Thinks Smarter
Learn how the Reinforcement Learned Teacher model slashes AI training costs, accelerates timelines, and democratizes ...
Engineering At Scale: How Karthik Mani Is Advancing AI, Cloud, And Human-Centric Safety Systems
Karthik Mani is a technology architect and applied researcher whose twenty-year career spans cloud-native infrastructure, ...
NextBigFuture15d
Microsoft and China AI Research Possible Reinforcement Pre-Training Breakthrough
Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a ...
University of Geneva21d
An algorithm reveals how our brain is motivated
The ventral tegmental area (VTA) plays a key role in motivation and the brain’s reward circuit. The main source of dopamine, this small cluster of neurons sends this neuromodulator to other brain ...
GitHub23d
chainer/chainerrl: ChainerRL is a deep reinforcement learning library built on top of Chainer. - GitHub
ChainerRL is a deep reinforcement learning library built on top of Chainer. - chainer/chainerrl. Skip to content. ... please cite our JMLR paper: @article{JMLR:v22:20-376 ... {ChainerRL: A Deep ...
IEEE24d
Risk-Sensitive Safety Filters for Reinforcement Learning with Probabilistic Guarantees | IEEE Journals & Magazine | IEEE Xplore
Humans have the ability to deviate from their natural behavior when necessary, which is a cognitive process called response inhibition. Similar approaches have independently received increasing ...
C&EN28d
Machine Learning Accelerated Discovery of Antimicrobial Inorganic Nanomaterials | The Journal of Physical Chemistry Letters - ACS Publications
Information on over 2,000 antimicrobial nanomaterials was extracted from more than 8,000 papers. An unsupervised machine learning analysis was conducted to assess data distribution and explore the ...
IEEE29d
Attention-Enhanced Deep Reinforcement Learning for Electric Vehicle Routing Optimization | IEEE Journals & Magazine | IEEE Xplore
Recently, the electric vehicle routing problem (EVRP) has emerged as a significant challenge in the transportation industry. Unlike traditional vehicle routing problems (VRPs) that focus primarily on ...