Define success through data first, then engineer features as extensions of that reality model. Detach emotionally from features; build flexible systems designed for learning, not premature perfection.

Researchers at Nvidia and the University of Hong Kong have released Orchestrator, an 8-billion-parameter model that coordinates different tools and large language models (LLMs) to solve complex ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...

For the first time, scientists have grown functional, brain-like tissue without using any animal-derived materials or added biological coatings. The development opens the door to more controlled and ...

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Executives like to say they are “integrating AI.” But most still treat artificial intelligence as a feature, not a foundation: They add a chatbot here, an automated report there, and call it ...

We present the ENV-FIBA macro-micro model framework that can be used to analyze the climate-macro-financial consequences of climate scenarios and related policy counterfactuals. The model consists of ...

If you weren't already dreaming of being his next Sally, you are now Rachel DeSantis is a senior writer on the music team at PEOPLE. She has been working at PEOPLE since 2019, and her work has ...

Tesla's Performance models traditionally push each series to its limits. Now, the American automaker has also enriched the revised Model Y, also known as the Juniper, with the extra-sharp version. One ...

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Abstract: Document-level entity relation extraction is an important task in the field of natural language processing, which plays an important role in semantic understanding and knowledge graph ...

Workflow is still at the heart of the new framework. Building on the strengths of the Semantic Kernel and AutoGen agent implementations, the new framework offers support for workflow orchestration and ...