Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Background For people whose stroke risk would be reduced by taking a long-term oral anticoagulant (OAC), it is important to implement effective strategies to support medication initiation, adherence ...

As the Facilities Management sector undergoes a rapid shift toward digital integration and data-driven service models, FM ...

The region was already unsettled by sweeping government layoffs and funding cuts when the shutdown started. The region was already unsettled by sweeping government layoffs and funding cuts when the ...

Wet milling offers efficient production of a consistent, high-quality particle size distribution (PSD) in active pharmaceutical ingredients (APIs). However, scaling from the laboratory to plant is a ...

The challenge of generative AI in education is to fundamentally determine what matters. I think writing matters. Here’s why: If we want students to learn how to write, they must write. Knowing how to ...

The implementation of a business model involves a detailed understanding of the process through which a company creates, delivers, and captures value. The operational challenges here include the ...

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Abstract: Semantic communication, augmented by knowledge bases (KBs), offers substantial reductions in transmission overhead and resilience to errors. However, existing methods predominantly rely on ...

You can choose to opt out. You can choose to opt out. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in CNBC, MIT Technology Review, Wired ...

The prevailing wisdom in artificial intelligence suggests that bigger models yield better results. In our work for health insurance companies and third-party administrators of health plans, we’ve ...