Learn Model Context Protocol [MCP] with Python — Build Agentic Systems in Python with the new standard for AI Capabilities: http://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Understand the MCP protocol and its core components
MACHINE LEARNING
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Learn the Model Context Protocol and Build Agentic Systems in Python
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Naive Bayes classification tutorial with Python code
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Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
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Learn more in this book: http://
amzn.to/312hAHF
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#DataScience #MachineLearning #AI #ML #Algorithms #Statistics #DataScientist #Mathematics -
Genie 3 world model technology successfully applied to Waymo autonomous driving
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We researchers often say "let us build this cool new technology and there will be many ways the company/society can use it, such as <list>". Here's a great example of that happening! Fun to see Genie help Waymo!! Jack Parker-Holder (@jparkerholder) Super excited to see Genie 3 having impact in autonomous driving. We've talked…. a lot… about this type of application for world models, and its been incredible to see the Waymo team do things we previously dreamed of! Congrats @maxjiang93 and team!! — https://nitter.net/jparkerholder/status/2019808695169982887#m
→ View original post on X — @_yutaroyamada, 2026-02-07 02:37 UTC
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Securing fast-paced development with AI-generated code
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Securing fast-paced development in a world of AI-generated code
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun -
Codex not recognizing CUDA on user’s machines
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I still can’t get codex to recognize that CUDA exists on my machines.
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Why AI Products Fail: Serving Phase Challenges and LLM Inference
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Why Most AI Products Fail (It’s Not Training) ❌
— Satya Mallick (@LearnOpenCV) 6 février 2026
Everyone focuses on training, but "serving" is where the real collapse happens. Learn the two phases of LLM inference: Prefill and Decode.#AI #MachineLearning #LLM #SoftwareEngineering pic.twitter.com/XKg886p9QdWhy Most AI Products Fail (It’s Not Training) Everyone focuses on training, but "serving" is where the real collapse happens. Learn the two phases of LLM inference: Prefill and Decode. #AI #MachineLearning #LLM #SoftwareEngineering
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Voxtral: Real-time audio streaming to text
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Voxtral can now directly stream audio input into text output. Perfect for:
— Mistral AI for Developers (@MistralDevs) 6 février 2026
– Live subtitles
– Language learning apps
– Note-taking tools
– And more!
Made a demo for you to try directly on hugging face ! pic.twitter.com/kHLqGo41PqVoxtral can now directly stream audio input into text output. Perfect for:
– Live subtitles
– Language learning apps
– Note-taking tools
– And more! Made a demo for you to try directly on Hugging Face! [Translated from EN to English]→ View original post on X — @guillaumelample, 2026-02-06 19:45 UTC
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Deep Learning Improves Soft-Tissue Sarcoma Prognosis
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Deep Learning Enhances Prognosis in Soft-Tissue Sarcomas
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu http://
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Human intelligence as infrastructure: systems sourcing, evaluating, and compounding expert work
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This is interesting because it treats human intelligence as infrastructure, not labor. These guys are building systems that source, evaluate, and compound expert work directly into training/eval/reward models:
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Arcturus Uses 4D Gaussian Splatting for Volumetric Sports Video
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This will change the way we experience sports forever — watching the game from a gods eye view.
— Bilawal Sidhu (@bilawalsidhu) 6 février 2026
Arcturus is building 4D gaussian splatting tech that can capture every angle of a sporting event and pushes the bar for volumetric video. I tested this in a headset and it makes 360… pic.twitter.com/YgsDHzoQ21This will change the way we experience sports forever — watching the game from a gods eye view. Arcturus is building 4D gaussian splatting tech that can capture every angle of a sporting event and pushes the bar for volumetric video. I tested this in a headset and it makes 360