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frameworksTensorFlow at 10: Eager Execution, TPUs, and Beyond, The Decade-Long Evolution of Google’s AI Framework
AI Inference, AI models, Algorithms, Americas, Artificial Intelligence, Automation, Deep learning, Edge AI, Frameworks, Generative AI, Graph neural network (GNN), Language model training, Machine intelligence, Machine learning, Natural language processing (NLP), Neural networks, Probabilistic Modeling, Quantum Computing, Science, SemiconductorsOleg Lazarov
AI, AI deployment, AlphaFold, AlphaGo, Apache Airflow, Apache Beam, Apache License 2.0, artificial intelligence, Auto-Differentiation, BERT, C++, Chainer, Cloud AI Platform, Cloud TPU, CNN, Community Contributions, Computational Graph, computer vision, CPU, CUDA, Databricks, Dataflow Graph, deep learning, DeepMind, Define-by-run, DistBelief, Distributed Training, DTensor, Eager Execution, edge computing, Edge TPU, GitHub, Go, Google, Google Brain, Google Cloud, Google Coral, Google Scholar, GPU, graph neural networks, Hugging Face, IBM, Java, JavaScript, JAX, Jeff Dean, Keras, KerasCV, KerasNLP, Kubernetes, machine learning, MCMC, Mixed Precision, MLOps, Mobile ML, Model Garden, Model Optimization Toolkit, NLP, NumPy, NVIDIA, ONNX, open-source, OpenXLA, Python, PyTorch, quantization, quantum machine learning, Ragged Tensors, Recommendation Systems, reinforcement learning, ResNet, RNN, SavedModel, Spiceworks, Static Graph, Tensor Processing Unit, TensorBoard, TensorFlow, TensorFlow 1.0, TensorFlow 2.0, TensorFlow Addons, TensorFlow Agents, TensorFlow Core, TensorFlow Datasets, TensorFlow Decision Forests, TensorFlow Dev Summit, TensorFlow Extended, TensorFlow Forum, TensorFlow Graphics, TensorFlow Hub, TensorFlow Lite, TensorFlow Probability, TensorFlow Quantum, TensorFlow Recommenders, TensorFlow Serving, TensorFlow SIGs, TensorFlow User Groups, TensorFlow.js, TF.js, TFLite, TFX, Theano, TPU, TPU v4, Transformer models, transformers, XLAKey Takeaways: Evolved significantly from its original static computational graph architecture (DistBelief heritage, TensorFlow 1.x) to dynamic eager execution (TensorFlow 2.x) The decision to open-source TensorFlow in 2015 was pivotal, transforming the framework from an internal Google tool into one of the most widely adopted machine learning platforms Broad ecosystem that spans from research (TensorBoard,…
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newsOutstanding Machine Learning Researchers Honored with ELLIS PhD Award
AI assistants, AI models, Algorithms, Analytics, Artificial Intelligence, Europe, Generative AI, LLMs (Large Language Models), Machine learning, Neural networks, Science, SocietySheryl Rivera
AI research, Anastasiia Koloskova, artificial intelligence, Bernhard Schölkopf, Bernt Schiele, causal inference, continual learning, DeepMind, distributed machine learning, doctoral research, Ecole Polytechnique Fédérale de Lausanne, ELLIS PhD Award, EPFL, European institutions, generative models, Jonathan Richard Schwarz, Kühborth Stiftung GmbH, language modeling, Luigi Gresele, machine learning, Martin Jaggi, Max Planck Institute for Intelligent Systems, neural data compression, neuroimaging, optimization theory, privacy-preserving machine learning, representation learning, Sebastian Stich, sparse parameterizations, Stanford University, Thomson Reuters, UCL, University College London, University of Copenhagen, University of TübingenLONDON — Three exceptional young researchers in machine learning have been recognized with the prestigious ELLIS PhD Award for their groundbreaking contributions to artificial intelligence. Anastasiia Koloskova from École Polytechnique Fédérale de Lausanne (EPFL) and Luigi Gresele from the University of Tübingen and Max Planck Institute for Intelligent Systems received the main prize, while Jonathan…
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newsGoogle DeepMind’s Demis Hassabis and John Jumper Win Nobel Prize in Chemistry for AlphaFold Breakthrough
AI assistants, Analytics, Artificial Intelligence, Chemicals, Europe, Healthcare, Machine learning, Pharma & Biotech, ScienceSheryl Rivera
2024 Nobel Prize, AI, AlphaFold, AlphaFold Protein Structure Database, artificial intelligence, computational protein design, David Baker, DeepMind, Demis Hassabis, Drug Discovery, enzyme design, Google, Google DeepMind, groundbreaking discoveries, Isomorphic Labs, John Jumper, Nobel Prize in Chemistry, protein structure prediction, Royal Swedish Academy of Sciences, scientific researchLONDON — Demis Hassabis, Co-founder and CEO of Google DeepMind and Isomorphic Labs, and Dr. John Jumper, Director at Google DeepMind, have been jointly awarded the 2024 Nobel Prize in Chemistry for their pioneering work on AlphaFold, an AI system capable of accurately predicting the three-dimensional structure of proteins from their amino acid sequences. They…
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newsFoundry Raises $80M to Simplify and Scale AI Compute Infrastructure for the Future
Americas, Analytics, Artificial Intelligence, Automation, Cloud, Industrial, Machine learning, StartupsSheryl Rivera
AI compute infrastructure, AI revolution, AI/ML workloads, cloud computing, Cost reduction, cutting-edge startups, DeepMind, Eric Schmidt, Foundry, GPUs, Jeff Dean, KKR, LG, Lightspeed Venture Partners, machine learning, Microsoft, Microsoft Ventures, ML infrastructure, next-generation platform, OpenAI, orchestration platform, Paul Milgrom, research institutions, scalable compute, Seed and Series A, Sequoia Capital, strategic collaborations, technical challengesPALTO ALTO — Building the Future of Compute Access Foundry, a groundbreaking initiative aimed at reimagining global compute infrastructure, has announced $80 million in Seed and Series A funding. This funding will drive the development of a revolutionary platform designed to maximize the utility and accessibility of AI compute resources, addressing critical challenges in the rapidly…
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newsGoogle Launches Gemma: Open Models for Responsible AI Development
AI assistants, Americas, Cloud, Generative AI, Internet & Online, Open Source LLMs, Reinforcement learning, Responsible AISheryl Rivera
adversarial testing, AI research, AI solutions, Colab, DeepMind, developers, Gemini models, Gemma, GKE, Google, Google Cloud, Google Cloud credits, Google Cloud TPUs, Google Kubernetes Engine, Hugging Face, Hugging Face Transformers, instruction-tuned models, JAX, Kaggle, Keras 3.0, MaxText, MLOps, Model Card, NVIDIA, NVIDIA GPUs, NVIDIA NeMo™, open AI models, pre-trained models, PyTorch, red-teaming, reinforcement learning from human feedback (RLHF), researchers, responsible AI development, Responsible Generative AI Toolkit, retrieval-augmented generation (RAG), summarization, TensorFlow, TensorRT-LLM, Vertex AIMOUNTAIN VIEW– Google is introducing a new generation of open AI models designed to support responsible AI development and assist developers and researchers globally. Gemma, built on the same research and technology behind Google’s Gemini models, aims to help foster safe, innovative AI creation. Developed by Google DeepMind and other teams across Google, Gemma is…
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newsESET and DeepMind Spearhead Eastern European Summer School of Machine Learning: Fostering AI Knowledge Exchange
Oleg Lazarov
AI, AI Slovakia, computer vision, deep learning, DeepMind, Doina Precup, Eastern European Summer School of Machine Learning, ESET, global AI landscape, Jana Košecká, knowledge exchange, Michal Valko, natural language processing, Peter Richtárik Important words: collaboration, Slovakia, Technical University of Košice Names: Yoshua BengioBRATISLAVA — ESET, a leading global cybersecurity firm renowned for its anti-virus and firewall solutions, proudly announces its collaboration with DeepMind, the prestigious Google research laboratory for artificial intelligence, in organizing the prestigious Eastern European Summer School of Machine Learning. Held this week (July 10 – July 15, 2023) at the esteemed Technical University of…
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newsInflection AI Announces Breakthrough Performance with One of the World’s Largest AI Computing Clusters
AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, LLMs (Large Language Models), SemiconductorsSheryl Rivera
AI accessibility, AI computing, AI Inference, AI infrastructure, AI innovation, AI optimization, AI training, benchmark performance, Chinchilla, CoreWeave, DeepMind, Google, GPT-3.5, Inflection AI, Inflection AI cluster, Inflection-1, Karén Simonyan, large language models, Llama, LLMs, MLPerf, Mustafa Suleyman, natural language processing, NVIDIA, NVIDIA H100 Tensor Core GPUs, OpenAI, PaLM 540B, Palo Alto, personal AI, Pi, Public Benefit Corporation, Reid Hoffman, safe AI productsPALO ALTO — Inflection AI, in collaboration with CoreWeave and NVIDIA, has achieved a major milestone in AI computing, setting a new industry benchmark on MLPerf, the leading open-source standard for AI performance evaluation. Utilizing over 3,500 NVIDIA H100 Tensor Core GPUs, the Inflection AI cluster completed the reference training task in a record-breaking 11…
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newsInflection AI Launches Inflection-1, A Cutting-Edge Language Model Powering Personal AI Pi
AI assistants, AI models, Americas, Analytics, Artificial Intelligence, Generative AI, Internet & Online, LLMs (Large Language Models)Oleg Lazarov
AI accessibility, AI adaptation, AI Benchmarks, AI innovation, AI scalability, AI trust, artificial intelligence, closed-book question answering, conversational AI, DeepMind, digital assistant, Google, GPT-3.5, Inflection AI, Inflection-1, Karén Simonyan, large language model, Llama, LLM, MMLU, Mustafa Suleyman, Natural Questions, NVIDIA H100 GPUs, OpenAI, PaLM 2-L, PaLM 540B, Palo Alto, personal AI, Pi, Pi.ai, proprietary advancements, Public Benefit Corporation, Reid Hoffman, safety methodology, technical memo, TriviaQA, trusted companion, user engagement, vertical integrationPALO ALTO — Inflection AI, a trailblazer in artificial intelligence, has unveiled its proprietary large language model (LLM), Inflection-1, which now powers its personal AI, Pi (Pi.ai). Inflection-1 represents a major milestone in AI development, combining exceptional scalability, safety, and performance to deliver a transformative user experience. Inflection AI’s vertically integrated approach—spanning data ingestion, model…
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newsNeurIPS 2020 Competitions to Leverage Procgen Benchmark and MineRL Announced
Americas, Artificial Intelligence, Entertainment, Generative AI, Generative pre-trained transformers (GPT), Machine learning, Reinforcement learningSheryl Rivera
SAN FRANCISCO — In an exciting collaboration, OpenAI, AIcrowd, Carnegie Mellon University, and DeepMind are set to co-organize two prestigious competitions at NeurIPS 2020. These competitions, utilizing the Procgen Benchmark and MineRL, aim to drive advancements in reinforcement learning. Procgen Competition The Procgen Competition, a cornerstone of the event, challenges participants to enhance sample efficiency…
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