Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Human clustering can be rather precarious. Small teams work well because they balance diversity of thought with coherence of ...

US energy policy and markets. We predict it will be defined by pressure to deliver affordability and reliability ...

Abstract: Collaborative Machine Learning (ML) paradigms, such as Federated Learning (FL), suffer from unequal client contributions and adversarial behavior, where clients deliberately degrade global ...

Power Pivot excels in handling large datasets and performing complex analytics, using data modeling and DAX expressions, but ...

OpenAI launches the Codex desktop app to help developers manage multiple AI agents working on software projects.

Vehicle-to-Grid (V2G) market momentum is driven by accelerating electric vehicle adoption, grid decentralization, regulatory incentives, and utility demand for flexible capacity. Rising total ...

Abstract: Mobility in daily unstructured environments, particularly in human-centered scenarios, remains a fundamental challenge for mobile robots. While traditional prediction-based approaches ...

To be successful in the game, models must demonstrate the ability to plan, communicate and remember, as well as demonstrate ...

Strong First Quarter Fueled by Market Share Expansion, Multi-Channel Buyer Participation and Operating Leverage from Technology-Based Platform Momentum ...

Vehicle-to-Grid (V2G) Market Surges to USD 11.25 Billion by 2033, Propelled by 18.5% CAGR - Verified Market Reports (R) ...

Global Healthcare Cloud Based Analytics Market size is expected to be worth around USD 223.5 Billion by 2033 from USD 38.6 ...