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Autonomous visual information seeking with large language models Google AI Google AI Blog

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​Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team There has been great progress towards adapting large language models (LLMs) to accommodate multimodal inputs for tasks including image captioning, visual question answering (VQA), and open vocabulary recognition. Despite such… Read More »Autonomous visual information seeking with large language models Google AI Google AI Blog

The TensorFlow Lite Plugin for Flutter is Officially Available noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

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​ Posted by Paul Ruiz, Developer Relations Engineer We’re excited to announce that the TensorFlow Lite plugin for Flutter has been officially migrated to the TensorFlow GitHub account and released! Three years ago, Amish Garg, one of our talented Google Summer of Code contributors, wrote… Read More »The TensorFlow Lite Plugin for Flutter is Officially Available noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

Google AI Introduce STUDY: A Socially Aware-Temporally Causal Recommender System for Audiobooks in an Educational Setting Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ Reading greatly benefits young students, from improved linguistic and life skills to enhanced emotional well-being. The correlation between reading for pleasure and academic success is well-documented. Moreover, reading broadens general knowledge and fosters understanding of diverse cultures. In today’s world, with an abundance of… Read More »Google AI Introduce STUDY: A Socially Aware-Temporally Causal Recommender System for Audiobooks in an Educational Setting Niharika Singh Artificial Intelligence Category – MarkTechPost

Researchers from MIT and Harvard have Produced a Hypothesis that may Explain How a Transformer Could be Built Using Biological Elements in the Brain Rachit Ranjan Artificial Intelligence Category – MarkTechPost

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​ Artificial neural networks, prevalent models in machine learning capable of being trained for various tasks, derive their name from their structural resemblance to the information-processing methods of biological neurons within the human brain. The workings of the human brain inspire them. The rise of… Read More »Researchers from MIT and Harvard have Produced a Hypothesis that may Explain How a Transformer Could be Built Using Biological Elements in the Brain Rachit Ranjan Artificial Intelligence Category – MarkTechPost

Google DeepMind Researchers Propose 6 Composable Transformations to Incrementally Increase the Size of Transformer-based Neural Networks while Preserving Functionality Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Transformer-based neural networks have received much attention lately because they function well. Machine translation, text creation, and question answering are just a few natural language processing activities for which Transformer architecture (see figure 1) has emerged as the industry standard. The effectiveness of transformer-based… Read More »Google DeepMind Researchers Propose 6 Composable Transformations to Incrementally Increase the Size of Transformer-based Neural Networks while Preserving Functionality Aneesh Tickoo Artificial Intelligence Category – MarkTechPost