For decades, quantum computing has felt like something out of science fiction — abstract, theoretical, and always “10 years ...

A chatbot might not break a sweat every time you ask it to make your shopping list or come up with its best dad jokes. But over time, the planet might. As generative AI such as large language models ...

Cognitive complexity measures how hard code is to understand by humans, not machines. Unlike traditional metrics, cognitive complexity considers the mental effort required to read and comprehend code.

Tool overload drains value. Most organizations use far more tools than they need, which leads to duplication, poor integration and underused capabilities. Governance matters. Successful teams ...

A time-to-digital converter (TDC) is like a stopwatch measuring the elapsed interval between two events with picosecond precision, converting this into a digital value for post-processing. Many space ...

Abstract: Transformers have significantly advanced time series forecasting, but still face challenges such as quadratic time complexity, high memory consumption, and lack of positional priors. While ...

Burmese pythons—like this one photographed at Everglades National Park—are decimating animal populations in South Florida. NPS / R. Cammauf Burmese pythons in Florida have been known to swallow large ...

Reinforcement learning (RL) has emerged as a fundamental approach in LLM post-training, utilizing supervision signals from human feedback (RLHF) or verifiable rewards (RLVR). While RLVR shows promise ...

Tracking what they do each day can help principals figure out where to make changes that align their time with their goals. “Hey, can I interrupt you for 30 seconds?” Some version of this question is ...

Police questioning the captain of a container ship which crashed into a US oil tanker in the North Sea say they have been given extra time to hold the 59-year-old Russian "due to the complexities of ...

For years, it seemed obvious that the best way to scale up artificial intelligence models was to throw more upfront computing resources at them. The theory was that performance improvements are ...

This repository contains a Python implementation for connecting in real time to the Cogent DataHub, along with examples of writing data using a PID Controller, reading data and updating live to a ...