​ The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. These techniques have proven effective in modeling atomistic interactions, molecular representation learning, 3D and 4D situations, activity and property prediction, force field creation, and… Read More »Are Pre-Trained Foundation Models the Future of Molecular Machine Learning? Introducing Unprecedented Datasets and the Graphium Machine Learning Library Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. To ensure these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may pose.In our paper, we… Read More »Evaluating social and ethical risks from generative AI DeepMind Blog

​ Large language models have recently emerged as powerful tools for various natural language understanding and image classification tasks. However, these LLMs have challenges, particularly regarding prompt brittleness and multiple biases in the input. These biases can stem from formatting, choice of verbalizers, and the… Read More »Can We Overcome Prompt Brittleness in Large Language Models? Google AI Introduces Batch Calibration for Enhanced Performance Niharika Singh Artificial Intelligence Category – MarkTechPost

​ One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. A turning point was reached with the introduction of the transformer model architecture, which created new opportunities for gradient descent parallelization and distribution strategies, enabling the… Read More »Amazon Researchers Present a Deep Learning Compiler for Training Consisting of Three Main Features- a Syncfree Optimizer, Compiler Caching, and Multi-Threaded Execution Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Posted by Wei Wei, Developer Advocate In our previous blog posts Building a board game app with TensorFlow: a new TensorFlow Lite reference app and Building a reinforcement learning agent with JAX, and deploying it on Android with TensorFlow Lite, we demonstrated how to… Read More »Building a board game with the TFLite plugin for Flutter noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Purina US, a subsidiary of Nestle, has a long history of enabling people to more easily adopt pets through Petfinder, a digital marketplace of over 11,000 animal shelters and rescue groups across the US, Canada, and Mexico. As the leading pet adoption platform, Petfinder… Read More »Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions Mason Cahill AWS Machine Learning Blog

​ Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. Despite their immense utility, the high operational costs of these models have posed… Read More »This AI Research Introduces Flash-Decoding: A New Artificial Intelligence Approach Based on FlashAttention to Make Long-Context LLM Inference Up to 8x Faster Madhur Garg Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence is now a household term. Responsible AI is hot on its heels. Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI, wants to make the terms “AI” and “responsible AI” synonymous.… Read More »Making Machines Mindful: NYU Professor Talks Responsible AI Kristen Yee – Archives Page 1 | NVIDIA Blog

​ In recent years, artificial intelligence (AI) advancements have been made, notably in language modeling, protein folding, and gameplay. The development of robot learning has been modest. Moravec’s paradox, which holds that sensorimotor behaviors are inherently harder for AI agents than high-level cognitive activities, might… Read More »This AI Research Presents RoboHive: A Comprehensive Software Platform and Ecosystem for Research in the Field of Robot Learning and Embodied Artificial Intelligence Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Researchers from Nvidia and the University of Illinois at Urbana Champaign introduce Retro 48B, a significantly larger language model than previous retrieval-augmented models like Retro (7.5B parameters). Retro 48B is pre-trained with retrieval on an extensive corpus, leading to improved perplexity. The encoder in… Read More »Researchers from NVIDIA Introduce Retro 48B: The Largest LLM Pretrained with Retrieval before Instruction Tuning Adnan Hassan Artificial Intelligence Category – MarkTechPost