Fundamentals of #MachineLearning for Predictive Data Analytics! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Fundamental-Ex
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Fundamentals of Machine Learning for Predictive Data Analytics
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Gemini API Launches Prepaid Billing for US Customers
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Excited to share that the Gemini API now has prepaid billing, rolled out to start for US customers!! We have been working hard across Google to enable this. It’s the default for new API users and existing users can opt in via a new billing account, all directly in AI Studio.
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Nvidia’s AI Chip Dominance: Supply Chains, Competition, and Geopolitics
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— NVIDIA AI (@NVIDIAAI) 15 avril 2026
The Jensen Huang episode. 0:00:00 – Is Nvidia’s biggest moat its grip on scarce supply chains?
0:16:25 – Will TPUs break Nvidia’s hold on AI compute?
0:41:06 – Why doesn’t Nvidia become a hyperscaler?
0:57:36 – Should we be selling AI chips to China?
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Gemini 3.1 Flash TTS: AI voice model with 70+ languages
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Gemini 3.1 Flash TTS
— Replicate (@replicate) 15 avril 2026
You can steer how the model speaks by dropping tags right into the text:
"[like dracula] Hey there, I'm a new text to speech model and I can say things in many different ways. How can I help you today?"
70+ languages, style prompting via natural language… pic.twitter.com/pPF2UnZ399Gemini 3.1 Flash TTS You can steer how the model speaks by dropping tags right into the text: "[like dracula] Hey there, I'm a new text to speech model and I can say things in many different ways. How can I help you today?" 70+ languages, style prompting via natural language
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Jensen Huang Defends Position Calmly at GTC Conference
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One reason I love Jensen is how he defends his position. One of the calmest CEOs around, I watched him answer questions from the world's press at GTC for two hours.
— Robert Scoble (@Scobleizer) 15 avril 2026
Listen to about 1 hour and 10 minutes into this to see him get ferocious about taking on Dwarkesh and stick up… https://t.co/8qpv4PnVVjOne reason I love Jensen is how he defends his position. One of the calmest CEOs around, I watched him answer questions from the world's press at GTC for two hours. Listen to about 1 hour and 10 minutes into this to see him get ferocious about taking on Dwarkesh and stick up
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Immune System Activation Role in Neurodegenerative Disease Research
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On the path to neurodegenerative diseases, the pivotal role of immune system activation. A new and excellent review @jclinicalinvest https://
jci.org/articles/view/
199850
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Five-Layer AI Cake Shapes U.S. AI Leadership Future
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The future of U.S. AI leadership will be shaped across every layer of the five-layer AI cake.
— NVIDIA AI (@NVIDIAAI) 15 avril 2026
From energy and chips to infrastructure, models and applications, every layer matters.
Our CEO Jensen Huang on the @dwarkeshpodcast: pic.twitter.com/u8f9Pfb6XZThe future of U.S. AI leadership will be shaped across every layer of the five-layer AI cake. From energy and chips to infrastructure, models and applications, every layer matters. Our CEO Jensen Huang on the @dwarkeshpodcast
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Cognitive Architecture Performance: Local vs Cloud Models
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The problem is that the cognitive architecture by @blevlabs writes and analyzes way better than any other model. So running locally would make the site way worse. And believe me I'm playing with all of them (Just interviewed NousResearch's CTO for just that reason last week).
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Snorkel speakers featured at ICLR Brazil conference
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Who else is excited about @iclr_conf Brazil next week🇧🇷?!
— Snorkel AI (@SnorkelAI) 15 avril 2026
Snorkel’s @fredsala and @vincentsunnchen are featured speakers across five workshops. Topics include data quality, world models and scaling, agent memory, and multi-agent learning.
Full docket of learning opportunities,… pic.twitter.com/fBYRQEAHeqWho else is excited about @iclr_conf Brazil next week?! Snorkel’s @fredsala and @vincentsunnchen are featured speakers across five workshops. Topics include data quality, world models and scaling, agent memory, and multi-agent learning. Full docket of learning opportunities,
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Efficient RL Training for LLMs with Experience Replay
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"Efficient RL Training for LLMs with Experience Replay" LLM RL post-training is still run in an almost fully on-policy regime where you generate rollouts, take one update, and discard. This paper argues that when rollout generation is expensive, strict on-policy training is