Probabilistic Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
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Probabilistic Machine Learning: Techniques and Tools Guide
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Multi-Agent Reinforcement Learning: Technologies and Applications
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Multi-Agent Reinforcement Learning! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #Books #100DaysofCode
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What is Data Science: Big Data Analytics and Machine Learning
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What's Data Science? #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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Smart Cities and AI: Big Data Analytics Integration
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#SmartCities and Artificial Intelligence. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
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Probabilistic Machine Learning: Tools and Technologies Overview
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Probabilistic Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
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Gateway Architecture Design for Adversarial Agents
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A lot of it is not-understanding-architecture. For example, gateway is not designed for adversarial agents hosted in one process – if you want total isolation run gateway multiple times. Yet we get so many reports trying to refactor this into a much more complex architecture that
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Running Gemma 4 with audio on Mac locally
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Anyone figured out a recipe to run Gemma 4 E2B or E4B against audio files locally on a Mac yet? Omar Sanseviero (@osanseviero) The 2 small ones also support audio understanding! Including ASR, speech to translated text, and more — https://nitter.net/osanseviero/status/2039789969154183548#m
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Coding agents and cognitive limits: Managing burnout with AI
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And here's a TikTok-shaped snippet!
— Simon Willison (@simonw) 2 avril 2026
Love doing podcasts with people who can edit video like this https://t.co/XFn8uYb6osAnd here's a TikTok-shaped snippet! Love doing podcasts with people who can edit video like this nitter.net/lennysan/status/203984… Lenny Rachitsky (@lennysan) "Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting. I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day. There is a limit on human cognition. Even if you're not reviewing everything they're doing, how much you can hold in your head at one time. There's a sort of personal skill that we have to learn, which is finding our new limits. What is a responsible way for us to not burn out, and for us to use the time that we have?" @simonw — https://nitter.net/lennysan/status/2039845666680176703#m
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Cognitive limits of using multiple AI coding agents
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"Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting.
— Lenny Rachitsky (@lennysan) 2 avril 2026
I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day.
There is a limit on… https://t.co/LWQPeaxml9 pic.twitter.com/lPcKm9Lqoy"Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting. I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day. There is a limit on
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Google Open-Sources Gemma 4 with Advanced Reasoning and Efficiency
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Google just open-sourced Gemma 4. Unprecedented performance for advanced reasoning and agentic workflows, and big leap in efficiency on a parameter basis. Use it now in KerasHub. I recommend the JAX backend – best performance!
→ View original post on X — @learnopencv, 2026-04-02 23:19 UTC