New on the Blog: TECHNOLOGY & TRENDS PREDICTION FOR 2021 Stay ahead in the ever-evolving world of Digital Transformation. This article explores key insights into emerging technologies and their impact on today's business landscape. Discover how to leverage innovation to
MACHINE LEARNING
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MIT Researchers Advance AI Reliability for Critical Healthcare Applications
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AI is transforming industries, and MIT researchers are at the forefront! Their team at Themis AI is tackling model uncertainty to make AI more reliable for critical applications like healthcare. Check out how they’re using machine learning to revolutionize cement alternatives
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USA AI breakthroughs: transformers, GPUs, diffusion models
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happy birthday to the USA, the greatest country, and the origin of the following innovations: – Transformers
– Pre-training (web-scale next-token prediction)
– RLHF
– RLVR
– RL
– GPUs
– TPUs
– PyTorch
– word2vec
– reasoning models
– GANs
– diffusion models
– VLMs
– self-driving -
Grok 4 SOTA avec des scores élevés
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BREAKING : Grok 4 will be SOTA – 35% on HLE, 45% with reasoning
– 87-88% on GPQA – 72-75% on SWE Bench (for Grok 4 Code) * Not official benchmarks, I plotted these based on the leaked scores and results from the web for other models -
GLM-4.1V-Thinking: Powerful Vision-Language Model for Multimodal Reasoning
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GLM-4.1V-Thinking – a powerful new vision-language model for multimodal reasoning!
From STEM to GUI agents, it outperforms models 8x its size.
Open-source, scalable, and state-of-the-art.
Paper Link: https://
arxiv.org/abs/2507.01006 #AI #VLM #Multimodal #GLM4 #OpenSourceAI -
Fast Simplex: 2-Simplicial Attention in Triton
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Fast and Simplex: 2-Simplicial Attention in Triton Roy et al.: https://
arxiv.org/abs/2507.02754 #ArtificialIntelligence #DeepLearning #MachineLearning -
Fast Simplex 2-Simplicial Attention Architecture in Triton
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Fast and Simplex: 2-Simplicial Attention in Triton Roy et al.: https://
arxiv.org/abs/2507.02754 #ArtificialIntelligence #DeepLearning #MachineLearning -
Alice’s Adventures in Differentiable Wonderland Volume I Tour
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Alice's Adventures in a Differentiable Wonderland — Volume I, A Tour of the Land Simone Scardapane : https://
arxiv.org/abs/2404.17625 #ArtificialIntelligence #DeepLearning #MachineLearning -
Alice’s Adventures in Differentiable Wonderland Volume I
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Alice's Adventures in a Differentiable Wonderland — Volume I, A Tour of the Land Simone Scardapane : https://
arxiv.org/abs/2404.17625 #ArtificialIntelligence #DeepLearning #MachineLearning -
Tensor Methods in Deep Learning: TensorLy PyTorch Integration
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I have been advocating tensor methods for almost decade and a half. Take a look at our tensor methods in deep learning from a few years ago https://
arxiv.org/abs/2107.03436 Tensorly package allows defining tensor operations in Pytorch seamlessly http://
tensorly.org @JeanKossaifi