Russell Maryland’s 10-year NFL career ended in 2000 with the Packers. His son, tight end RJ Maryland, is a promising undrafted rookie. It’s not where you start, it’s where you finish. In the case of ...

This reporting guide helps investigative journalists understand some of the nitty-gritty of the technology underlying AI and ...

“The platforms should be absolutely begging Congress to regulate them, because the alternative is they get sued into oblivion by a bunch of law firms.” Hosted by Kevin Roose and Casey Newton Produced ...

Abstract: This letter proposes an automated Doherty power amplifier (DPA) design methodology integrating theoretical S-parameter derivation with multiport artificial intelligence (AI) modeling.

Jennifer Paloma Rafferty and I briefly overlapped at Quinnipiac University, when she was working as a learning designer and I was teaching some online courses. I always thought that Paloma was super ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Finland has spent decades digging caves into its bedrock. Now, as Russia rears its head, nervous Finns want to know: “Where’s my shelter?” Credit... Supported by By Sally McGrane Visuals by Vesa ...

Abstract: The non-convexity of rate-splitting precoder design precludes the direct use of efficient convex optimization algorithms. Instead, successive convex approximation (SCA)-based methods have ...

An important but unresolved question in deep learning for EEG decoding is which features neural networks learn to solve the task. Prior interpretability studies have mainly explained individual ...

Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.