· ai
Hands On With Anthropic’s Claude Cowork, an AI Agent That Actually Works
Cowork is a user-friendly version of Anthropic’s Claude Code AI-powered tool that’s built for file management and basic computing tasks. Here’s what it's like t...
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- · ai
**Unlocking Optimal Performance: The AI-Powered Transformati
In 2024, I had the privilege of collaborating with the Miami Dolphins' Swim Coach as they embarked on a mission to optimize their competitive edge in the aquati...
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[Paper] Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
Today's strongest video-language models (VLMs) remain proprietary. The strongest open-weight models either rely on synthetic data from proprietary VLMs, effecti...
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[Paper] Multi-Objective Pareto-Front Optimization for Efficient Adaptive VVC Streaming
Adaptive video streaming has facilitated improved video streaming over the past years. A balance among coding performance objectives such as bitrate, video qual...
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[Paper] RSATalker: Realistic Socially-Aware Talking Head Generation for Multi-Turn Conversation
Talking head generation is increasingly important in virtual reality (VR), especially for social scenarios involving multi-turn conversation. Existing approache...
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60% of Code Is AI-Generated—Are We in Trouble?
Jonathan Rende, chief product officer at Checkmarx, tackle’s one of the most urgent questions in AppSec right now: what happens when AI starts writing the major...
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[Paper] Procedural Fairness in Multi-Agent Bandits
In the context of multi-agent multi-armed bandits (MA-MAB), fairness is often reduced to outcomes: maximizing welfare, reducing inequality, or balancing utiliti...
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[Paper] Action100M: A Large-scale Video Action Dataset
Inferring physical actions from visual observations is a fundamental capability for advancing machine intelligence in the physical world. Achieving this require...
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[Paper] Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay
Large Language Models (LLMs) have achieved remarkable capabilities but remain vulnerable to adversarial ``jailbreak'' attacks designed to bypass safety guardrai...
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[Paper] Form and Meaning in Intrinsic Multilingual Evaluations
Intrinsic evaluation metrics for conditional language models, such as perplexity or bits-per-character, are widely used in both mono- and multilingual settings....
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Activate VCF Private AI Services
VMware Cloud Foundation VCF Private AI Services offers a set of services that enable you to easily and securely deploy AI workloads in your VCF environments. Co...
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When Shapley Values Break: A Guide to Robust Model Explainability
Shapley Values are one of the most common methods for explainability, yet they can be misleading. Discover how to overcome these limitations to achieve better i...