John J Boren | Data + ML + Visualization
This establishes a test-time scaling law for embodied AI, mirroring the inference-time compute scaling trend in LLMs but for physical robot actions. The finding that verification scales better than generation has broad implications for deploying VLA...
India's $1.1B fund-of-funds signals a sovereign bet on building domestic deep-tech and manufacturing capacity, likely dr...
This is a wake-up call for the speech AI community: low word error rates on benchmarks mask catastrophic failures on short, high-stakes utterances. Th...
This reveals a striking inefficiency in transformer attention and offers a biologically-inspired solution. The finding that attention demand should de...
Analysis of the newly released AWS STRANDS Agents SDK and its relationship to our STRANDS-AlphaZero integration research framework
This blog post provides a comprehensive overview of the current AI research landscape by analyzing papers from arXiv's cs.AI section. It explores the interconnections between different research areas including Human-AI Collaboration, Multi-Agent Systems, Medical AI applications using fuzzy logic, and AI Governance frameworks.
This blog post explores the shift from AI as a tool to AI as a collaborative partner in complex problem-solving scenarios. It examines cutting-edge research in human-AI collaboration, including the Hierarchical Exploration-Exploitation Net framework and Agent-as-a-Service implementations, and discusses how these advances are reshaping our understanding of human-AI teaming.