New Electronics

Analogue’s AI generation

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.
The Hechinger Report

The quest to build a better AI tutor

University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.
IEEE

Fast Digital Circuit Synthesis Framework Based on Deep Reinforcement Learning Using Scoreboard

Abstract: In a field of circuit design that uses deep learning such as layout optimization, parameter optimization, and circuit synthesis automation, the proposed framework, fast-GateRL, addresses the ...
Purdue University

Machine Learning in Action: Tools, Techniques, and Industrial Cases

Machine Learning in Action: Tools, Techniques, and Industrial Cases Bring machine learning to life with Machine Learning in Action. This hands-on course teaches you how to build and apply eight key ...
Hosted on MSN

Water use creeps above city's target on Sunday as work gets underway on concrete reinforcement of Bearspaw South feeder main

After staying “in the green zone” for the first six days of ongoing Stage 4 restrictions amid repairs to the Bearspaw South feeder main, Calgary’s collective water use crept above the city’s target ...
GitHub

RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...
IEEE

Safety-Enhanced Deep Reinforcement Learning for Autonomous Driving: Dare to Make Mistakes to Learn Better and Faster

Abstract: Deep Reinforcement Learning (DRL) is becoming a prominent method for autonomous driving due to its strong capability to generate complex driving policy. However, DRL motion planning still ...