Forbes Councils member Sreedhar Peddineni argues that AI-driven go-to-market transformation requires unlocking revenue capacity, not just productivity, because AI has broken the historical correlation…
World Labs, co-founded by AI researcher Fei-Fei Li, unveiled Atlas, a single AI model that generates, reconstructs, and simulates 3D worlds from just a few photos, claiming it outperforms specialized …
A Forbes article by Jerry Haywood argues that AI investments fail without comprehensive process transformation, emphasizing that technology alone is insufficient. The piece highlights the need for org…
Agentic commerce is emerging as Mastercard, Cloudflare, and Olas build infrastructure for AI agents that transact, with OLAS logging 14 million agent deals and Mastercard's Agent Pay attracting over 3…
Forbes contributor Michael Ashley explores how the convergence of AI and quantum computing could transform drug discovery, scientific research, and cybersecurity, highlighting the potential for unprec…
Senator Bernie Sanders appeared on Fox News to urge an immediate pause on advanced AI development and called on President Trump and Chinese President Xi Jinping to negotiate a Cold War-style agreement…
Ankur Pal, a Forbes Councils member, shares six lessons from two years of building an AI adoption program, emphasizing that executive buy-in is often the easy part. The lessons focus on practical chal…
AI is moving beyond automation to help leaders make better decisions, according to Ganesh Shankar, a Forbes Councils member. Shankar emphasizes using context, continuous learning, and outcomes to turn…
Forbes Councils member Ravi Nemalikanti argues that in banking AI, governance is the product, asserting that the competitive advantage lies not in proprietary data but in permissioned workflow context…
OpenAI and Anthropic are balancing safety and commercial appeal ahead of potential IPOs, with OpenAI limiting the release of its Astra model due to cybersecurity concerns and Anthropic updating its Fa…
Trump administration officials at the G20 Innovation Ministerial are projecting unity on U.S. AI leadership, but the Commerce Department and the White House Office of Science and Technology Policy (OS…
A new arXiv paper (2609.00662v1) introduces Drift-Aware Sparse Routing (DRS), a method for routing requests across multiple language models while respecting compute, latency, memory, and cost budgets …
Researchers introduced AgentFactory, a framework that jointly optimizes foundation models and workflow structures in agentic systems while considering performance, cost, and efficiency. In evaluations…
Researchers proposed the Evidence-Grounded Typed Knowledge Graph (EGT-KG), a retrieval framework that improves scientific question-answering with local Small Language Models (SLMs). In experiments on …
Researchers introduced VoiceLongMemEval (VLME), a benchmark testing whether AI assistants can use paralinguistic cues such as emotion and prosody in long conversations, finding that current models sho…
Researchers propose SAGE (State-Grounded Abstention-Aware Evaluation), a new framework for evaluating task-oriented dialogue agents that compiles workflow specifications and per-turn state diffs into …
Researchers propose Conversation Coach, a voice-first AI system for practicing difficult workplace conversations, deployed in production where 40,000+ managers used it over six months. The end-to-end …
Researchers propose TrustPropRAG, a retrieval-augmented generation framework that models document relations as a graph and propagates reliability signals from limited human feedback across the corpus,…
A new study from arXiv (2609.00584v1) comparing three AI interaction designs in a learning context found that an unrestricted conversational bot like ChatGPT produced higher learning gains (p < 0.80) …
Researchers propose AnySearch, a reinforcement learning framework that enables a single LLM-based search agent policy to adapt to any budget constraint at deployment, outperforming baselines across se…