When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...
Subaru is known for making some of the most reliable cars in the country, but that wasn't always the case. If you owned one or knew someone who did, you likely made or heard a joke about a ...
Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...
Air traffic controller staffing shortages worsened over the weekend as the nation’s government shutdown hit its fourth week, leading to delays and anxiety, and experts say it won’t get better until ...
The Federal Aviation Administration reported 12 of their facilities were short-staffed on Friday, including some which have caused delays for travelers. Phoenix Sky Harbor International airport will ...
In today’s digital world, founders must lead crisis communication with speed, empathy and transparency — silence or delegation can irreparably damage trust. Crisis isn’t just a PR issue; it’s a ...
Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, a new creative problem-solving AI model. The company stated the model is ...
The AI model is still slapping garbled, nonsensical captions on videos more than a month after launch, even when users explicitly ask for no captions at all. As soon as Google launched its latest ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.