Meta Platforms, Inc. launched its Muse personal AI agent after CEO Mark Zuckerberg identified AI agents as a potential new source of products and revenue. Zuckerberg Sees AI Agents as Meta’s Next Growth Driver During Meta’s second-quarter earnings call in...
As Amazon blocks AI agents from shopping on its site, Walmart is taking the opposite approach, introducing new technology that lets AI agents make purchases on customers' behalf, with controls over spending and transaction approvals.
By Alexandre Kech, CEO at GLEIFAI agents can discover services, negotiate terms, analyze data, and initiate transactions for people and organizations. In financial services, this creates a governance challenge: how can other parties determine which organization stands behind an agent, who authorized it, and whether an action falls within that authority?As GLEIF’s most recent working paper on agentic payments observes, existing legal frameworks can generally allocate responsibility. The immediate
Six themes cover agent security, logging and who counts as controller, feeding a statutory code on AI and automated decisions. What will the ICO expect next?
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
OpenAI's GPT-5.6 Sol discovered a critical PHP vulnerability as part of the Patch the Planet initiative that could affect millions of websites. Security firm Wiz independently found the same flaw using Google's Gemini 4 Argon. OpenAI warns that the same AI capabilities that…
Emergency department (ED) decision-making relies on heterogeneous clinical information, including patient history, vital signs, laboratory results, and electrocardiograms (ECGs). Vision--language models (VLMs) can jointly process these modalities, but strong predictive…
Deep learning-based visual odometry (VO) has achieved significant progress, yet most existing methods focus on a monocular approach, which suffers from scale ambiguity. Stereo VO provides real metric by its nature, but remains less studied in deep learning VO due to its high…
Manipulating objects requires understanding not only their motion, but also the physical properties that determine it. For articulated objects, these include inertia, friction, and mechanisms such as springs or door closers, whose effects can vary with configuration and…
Skills can improve the performance of Large Language Model (LLM) agents by providing task-specific procedural guidance, while skill optimization further improves their effectiveness through iterative refinement. However, existing skill optimization methods typically represent…