Andreas Mihavecz is an Austrian man who was, due to neglect by the arresting officers, forgotten about in a basement cell for 18 days.
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Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo
Scientists everywhere can now access Evo 2, a powerful new foundation model that understands the genetic code for all domains of life. Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in a collaboration led by nonprofit biomedical research organization Arc Institute and Stanford University. Evo 2 is available to global developers on the NVIDIA BioNeMo platform, including as an NVIDIA NIM microservice for easy, secure […]
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How to design LLMs that don’t need prompt engineering
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the backend (corpus processing) is properly built from the ground up, it is possible to offer a full, comprehensive answer to a meaningful prompt, without the need for multiple prompts, rewording your query, having to go through a chat session, or prompt engineering. In this article, I explain how to do it, focusing on enterprise […]
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Cashew Research is going after the $90B market research industry with AI
Cashew Research uses AI to automate the market research process while still collecting real-world data from humans.
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Quantum modeling for breakthroughs in materials science and sustainable energy
Ernest Opoku knew he wanted to become a scientist when he was a little boy. But his school in Dadease, a small town in Ghana, offered no elective science courses — so Opoku created one for himself. Even though they had neither a dedicated science classroom nor a lab, Opoku convinced his principal to bring in someone to teach him and five other friends he had convinced to join him. With just a chalkboard and some imagination, they […]
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How Agent Handoffs Work in Multi-Agent Systems
Understanding how LLM agents transfer control to each other in a multi-agent system with LangGraph The post How Agent Handoffs Work in Multi-Agent Systems appeared first on Towards Data Science.
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Building a Fully Local LLM Voice Assistant: A Practical Architecture Guide
Author(s): Cosmo Q Originally published on Towards AI. Why your next assistant might run entirely on your own hardware. This past Thanksgiving, I set out to build a fully local voice assistant which should listen, think, act, and speak without relying on the cloud service. Why bother? Because today’s mainstream assistants are still tied to the cloud, limited by product rules, and hard to customize. Meanwhile, the AI development in the last two years completely changed what individuals […]
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Last Week in AI: OpenAI’s “Code Red”, Anthropic’s Quiet Confidence, Claude 4.5, Gemini 3 Dominance, and Meta’s Publisher Deals (Dec 1–7, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly breakdown of what actually mattered in artificial intelligence — without the noise. This week was pure fire — from OpenAI’s urgent “code red” scramble against Google’s Gemini 3 dominance, Anthropic’s cool-headed Claude 4.5 launch and 300K+ enterprise customers, to Meta’s blockbuster publisher deals and DeepSeek’s open-source bombshells that rival the giants at 30x lower cost. Image Created by AuthorThe article discusses the key highlights from the past week in […]
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The Google guide for holiday help
Learn more about using Google products like Gemini, Search, Shopping, Pixel and more over the holidays.
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As AI Grows More Complex, Model Builders Rely on NVIDIA
Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 today. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. It’s the latest example of how leading AI builders train and deploy at scale on NVIDIA’s full-stack AI infrastructure. Pretraining: The Bedrock of Intelligence AI models are getting more capable thanks to three scaling laws: pretraining, post-training and test-time scaling. Reasoning models, which […]
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