Introducing LifeSciBench, an expert-authored, expert-reviewed benchmark for evaluating how AI systems handle real-world life science research tasks and decisions.
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Read the full story on OpenAILiquid AI released LFM2.5-230M, its smallest model yet. The 230M-parameter, open-weight model runs on-device at 213 tok/s on a Galaxy S25 Ultra and 42 on a Raspberry Pi 5. Built on the LFM2 architecture, it targets tool use and data extraction, beating larger models like Qwen3.5-0.8B and Gemma 3 1B on instruction following. The post Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang,…
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Public anxiety about AI is intensifying as it moves from demos into workplaces and classrooms. A look at the growing resistance — from incidents to employee pushback — and how organizations can build trust.
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Not everyone is buying Elon Musk’s vision for orbital data centers.
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Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.
Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.
Five-course series on neural networks, CNNs, sequence models, and transformers from DeepLearning.AI.
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