PCWorld highlights Microsoft's new agentic AI features for Outlook that go beyond basic email drafting to advanced inbox and calendar management automation. These tools can identify unreplied emails, summarize missed content, draft follow-ups, reschedule meetings, and create agendas to save significant time. Access requires a Microsoft 365 Copilot for Business account and IT approval, potentially revolutionizing productivity for business users. I never really thought I'd welcome AI as a part of my ongoing business day. But Microsoft's ongoing productivity updates to Outlook actually have me tempted. By now, drafting an email using AI is old hat, and something that I generally wouldn't do. But Microsoft has begun adding agentic AI to Outlook via its experimental "Frontier" program and it actually sounds like something that could really save time and energy.

Mixture of Experts (MoE) framework has become a popular architecture for large language models due to its superior performance compared to dense models. However, training MoEs from scratch in a large-scale regime is prohibitively expensive.

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The United Arab Emirates has announced it's withdrawing from OPEC and OPEC+. Al Jazeera's Michael Appel outlines the significance of the announcement and its likely impact on the energy market. Ukrainian drones strike Russia's Tuapse refinery for third time Qatar says using Hormuz Strait as political weapon is'unacceptable' Australia's top diplomat visits China to talk energy security

Formal verification (FV) has witnessed growing significance with current emerging program synthesis by the evolving large language models (LLMs). However, current formal verification mainly resorts to symbolic verifiers or hand-craft rules, resulting in limitations for extensive and flexible verification. On the other hand, formal languages for automated theorem proving, such as Isabelle, as another line of rigorous verification, are maintained with comprehensive rules and theorems. In this paper, we propose FVEL, an interactive Formal Verification Environment with LLMs. Specifically, FVEL transforms a given code to be verified into Isabelle, and then conducts verification via neural automated theorem proving with an LLM. The joined paradigm leverages the rigorous yet abundant formulated and organized rules in Isabelle and is also convenient for introducing and adjusting cutting-edge LLMs. To achieve this goal, we extract a large-scale FVELER. The FVELER dataset includes code dependencies and verification processes that are formulated in Isabelle, containing 758 theories, 29,304 lemmas, and 201,498 proof steps in total with in-depth dependencies.

A source says the contract doesn't give the company any veto power over how the tech is used by the government. Google has signed a deal that allows the US Department of Defense to use its AI models for any lawful government purpose. This is according to a report by, which also notes that the full details of the contract are classified. An anonymous source within the company has suggested that the two entities have agreed that the search giant's AI tech shouldn't be used for domestic mass surveillance or autonomous weapons without appropriate human oversight and control. However, the contract also reportedly doesn't give Google any right to control or veto anything the government decides to do.