Entry-level roles build tangible and intangible skills. AI is threatening to take over much of the work associated with those ...

Kimi K2.5 introduces a multi-agent orchestration with up to 100 workers, helping teams cut complex task time and boost ...

Los Angeles, California - January 20, 2026 - PRESSADVANTAGE - Rocket CRM, a software platform, has released an ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...

What if the tools you rely on daily suddenly felt outdated, obsolete, even? That’s the bold claim many developers are making about Visual Studio Code in light of the release of Cursor 2, a new update ...

Abstract: Multi-task multi-agent reinforcement learning (M T-MARL) has recently gained attention for its potential to enhance MARL's adaptability across multiple tasks. However, it is challenging for ...

Get a deep dive into the gameplay and objectives of Task Time in this new trailer for the upcoming Gameshow-inspired competitive party game. In Task Time, eight friends dive headfirst into six rounds ...

Abstract: Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance overall model performance. The ...

NORFOLK, Va. — The U.S. Secretary of Defense, Pete Hegseth, launched a new initiative to improve U.S. barracks conditions after multiple poor condition reports were filed over the past few decades.

MEMPHIS, Tenn. - The multi-agency task force is using several mobile command units to direct forces to fight crime in the Bluff City. One of the Memphis Safe Task Force staging sites is located on ...

Deep learning’s (DL’s) promise and appeal is algorithmic amalgamation of all available data to achieve model generalization and prediction of complex systems. Thus, there is a need to design ...

ABSTRACT: Accurately predicting medication response and disease severity is essential for advancing personalized treatment strategies, especially in complex neuropsychiatric conditions. In this study, ...