Wharton and Accenture partnered on a huge “skills index” that crunched data on 100 million job postings. They found a “striking and persistent disconnect.” ...
Transformer on MSN

Teaching AI to learn

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?
If schools want to prepare young people for a future shaped by technology, they must act now to ensure that computer science is not a privilege for a few but a foundation for all. The time to begin is ...
Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...
Understanding a molecule that plays a key role in nitrogen fixing – a chemical process that enables life on Earth – has long ...
Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...
This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...