Nitesh Banga says a Scrum team of 11 or 12 people could potentially be reconfigured into four human orchestrators working alongside seven or eight AI agents.
Gemma 4 explained: all five model sizes, the memory each one needs, which Mac runs which, how to install it with Ollama, and how it compares to Qwen 3.6.
Nvidia's grip on the artificial intelligence (AI) chip industry is facing an unusual test, with a deepening leadership controversy involving CEO Jensen Huang adding to investor concerns about the technology sector's already volatile market environment.
WhiteMatter has raised $20 million in Series A funding to expand its enterprise platform for governing autonomous artificial intelligence agents, models, tools, and interactions. Blumberg Capital led the round,
We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In OmniVChat, omni models directly and simultaneously receive audio and video from a user and return text. The user's query is embedded in the audio and video,…
Temporal action localization (TAL) in wearable sensor streams identifies action classes and temporal boundaries, enabling finer-grained activity understanding than conventional action recognition. However, training typically requires costly start--end annotations for every…
Embodied foundation models are constrained by the limited scale and diversity of robot demonstrations, motivating the use of large-scale egocentric human interaction data. However, how to effectively incorporate such data into embodied-model pre-training remains unclear because…
Deep neural architectures are widely used for signal processing in automated pain assessment systems. However, architecture design has remained largely a manual task despite the potential efficiency benefits of Neural Architecture Search (NAS). Embedding NAS in a…