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

Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles With Deep Reinforcement Learning

Abstract: This letter presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic ...
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 ...
OECD

Using digital resources for learning

Standards and guidelines for development co-operation with concrete examples of their implementation ...
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 ...