States Are Learning the Wrong Lesson From the ‘Mississippi Miracle’

A phonics-based curriculum is only one part of how Mississippi went from worst to first in education. The other part is much ...
IEEE

In-Context Learning Implicit Representation for Time Series Forecasting

Abstract: Time series forecasting task aims at predicting future time series signal given historical time series observations. This letter investigates time series signal modeling and forecasting from ...
The University of Chicago Chronicle

Peggy Mason challenges Class of 2029 to take ‘intellectual risks’

Standing before the Class of 2029 in Rockefeller Memorial Chapel, Prof. Peggy Mason urged students from the College to embrace what most people try to avoid: discomfort. “I want you to learn to be ...
Purdue University

Talking back: Purdue researchers explore new implicit learning methodology in aphasia therapy

Aphasia affects the speech, language processing and reading skills of about 2 million people in the United States, according to the American Stroke Association. The communication disorder occurs most ...
The Conversation

Your age shouldn’t put you off learning a new language – what the research says

If you’ve always wanted to learn a new language, don’t let age put you off. People aged over 60 can be independent and flexible in how they learn a language – and successful, too. There is ample ...
Baltimore Ravens

Roquan Smith Sets the Example by Learning to Swim

One of Roquan Smith's favorite sayings is "chin up, chest out." It's a reference to taking on challenges head-on, without fear or regrets. In the pool at Loyola College's aquatics center Tuesday ...
NBC News

AI models may be accidentally (and secretly) learning each other’s bad behaviors

Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Subscribe to read this story ad-free Get unlimited access to ad-free ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
GitHub

LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning

This repository contains PyTorch implementation for LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning (Accepted by ICCV 2025). 2.1.1 ...