How Kavita Lele Met an 8 Year Break with Challenge! @iitm_bs #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
COMPUTING
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Network Programming with Python for Data Science and ML
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Cheatsheet! Network #Programming with Python! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Coding #100DaysofCode https://
geni.us/Network-Python
-Ch-Sh
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Comprehensive SQL Commands Cheatsheet for Data Analytics
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Cheatsheet! The Most Comprehensive SQL Commands! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/SQL-Cheat-Sheet -
Dataflow Architecture: Key to AI Inference Speed Beyond Chips
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Faster AI chips alone don't fix slow inference. The real bottleneck is data movement. In the decode era, how well your architecture moves data determines speed, throughput, and cost. Here's why Dataflow matters more than ever
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Gravity-Defying VertiGo Robot Climbs Walls Like Lizard
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Gravity-Defying VertiGo #Robot Climbs Walls Like a Lizard
— Ronald van Loon (@Ronald_vanLoon) 16 avril 2026
by @lukas_m_ziegler
#AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/8W0HhlekXtGravity-Defying VertiGo #Robot Climbs Walls Like a Lizard
by @lukas_m_ziegler #AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -

Fine-tuning Medical LLMs Using High-Performance Computing Clusters
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Training Transformers on a local machine is like trying to win a race on a bicycle. At UArizona, I’ve had the privilege of utilising our High-Performance Computing (HPC) cluster to fine-tune medical LLMs. By leveraging the cluster's parallel processing power, I reduced training
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CoreWeave Secures Major AI Infrastructure Deals with Meta and Anthropic
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A massive congratulations to @CoreWeave on securing three landmark deals in a single week with @Meta, @AnthropicAI, and @JaneStreetGroup. 👏
— NVIDIA (@nvidia) 16 avril 2026
These high-demand workloads are supported by a sophisticated infrastructure stack capable of managing mixed-generation clusters,… pic.twitter.com/QpUIUwTjf3A massive congratulations to @CoreWeave on securing three landmark deals in a single week with @Meta
, @AnthropicAI
, and @JaneStreetGroup
. These high-demand workloads are supported by a sophisticated infrastructure stack capable of managing mixed-generation clusters, -

AI Bottlenecks: Models, Data, or Infrastructure Challenge
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From the @aiDotEngineer London conference floor, we asked a simple question… what’s holding your AI back right now: models or data or infra?
— Snorkel AI (@SnorkelAI) 16 avril 2026
Here’s what @GoogleDeepMind's Cassidy Hardin had to say. pic.twitter.com/KL4IdQSBBHFrom the @aiDotEngineer London conference floor, we asked a simple question… what’s holding your AI back right now: models or data or infra? Here’s what @GoogleDeepMind
's Cassidy Hardin had to say. -
Local and Edge AI Repositories Trends Guide
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if you’re interested in local/edge AI related repos and their trends, these are your guys
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New MedVersa Paper on AI Generalist for Medical Images Published
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I think the adaptive thinking requirement in Claude Opus 4.7 is bad in the ways that all AI effort routers are bad, but magnified by the fact that there is no manual override like in ChatGPT. It regularly decides that non-math/code stuff is "low effort" & produces worse results.
