Practical Machine Learning Tools and Libraries. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Practical-ML-T
ools
…
TECHNOLOGY
-
Essential Machine Learning Tools and Libraries Guide
By
–
-
Building Serverless Applications on AWS Cloud
By
–
Building Serverless Applications on #AWS! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Building-Serve
rless
… -
Applied Deep Learning Full Course: Comprehensive AI and ML Training
By
–
Applied Deep Learning Full Course! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Applied-D-L-F-
Course
… -
IIoT Devices Transform Industrial Settings: Free Panel Discussion
By
–
Join us for a panel discussion focused on #IIoT devices and their transformative potential in industrial settings. Register at no cost by May 15: https://
buff.ly/49lF0dW #sponsored #omron_iiot #IIoTWorldDay #industry40 #manufacturing @IIoT_World @FogorosAndrei via @fogoros -
xLSTM Scales LSTMs to Billions Parameters with Modern LLM Techniques
By
–
2). xLSTM – attempts to scale LSTMs to billions of parameters using techniques from modern LLMs; to enable LSTMs the ability to revise storage decisions, they introduce exponential gating and a new memory mixing mechanism…
-
DeepSeek-V2: 236B MoE Model with Efficient Latent Attention
By
–
3). DeepSeek-V2 – a strong MoE 236B parameter model, of which 21B are activated for each token; supports a context length of 128K tokens and uses Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache into a latent vector…
-
AlphaFold 3 Predicts Protein DNA RNA Molecular Structures
By
–
1). AlphaFold 3 – releases a new state-of-the-art model for accurately predicting the structure and interactions of molecules; it can generate the 3D structures of proteins, DNA, RNA, and smaller molecules…https://t.co/avOFMTnTwz
— DAIR.AI (@dair_ai) 12 mai 20241). AlphaFold 3 – releases a new state-of-the-art model for accurately predicting the structure and interactions of molecules; it can generate the 3D structures of proteins, DNA, RNA, and smaller molecules…
-
eu/acc: Decentralized Movement for Unrestricted European Tech Progress
By
–
eu/acc is a decentralized movement for unrestricted technological progress in Europe INNOVATE, DON'T REGULATE There's no leaders, no committees, no hierarchy, no structure It's a hyperstitional memetic virus, nothing more, nothing less (just like e/acc)
-
Building vs Reusing: Learning and Optimization for Your Tech Stack
By
–
Totally agree Sometimes it’s better to reuse existing stuff, but sometimes it’s better to build your own thing for first principles. You will learn a lot, you get more free in what you can do with it, you can optimize it for your use cases, and you build your own niche. Been
-
Model Scaling Outpaces Hardware in AI Competition
By
–
Whatever that scales faster wins the wars. I would say models do scale faster than HW – but of course both trends actually supplement each other.