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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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individualsJensen Huang: Visionary Leader Powering the GPU and AI Revolution
Accelerated computing, AI accelerators, AI Inference, Algorithms, Americas, Artificial Intelligence, Asia, Automation, Automotive, Autonomous driving, Cloud, Computer vision, Data centers, Deep learning, Defence, Electronics & Machinery, Entertainment, Gaming, Generative AI, Graph neural network (GNN), Graphics Processing Unit (GPU), Healthcare, Infrastructure & Utilities, Internet & Online, Machine intelligence, Machine learning, Management, Neural networks, Pharma & Biotech, Robotics, Science, Semiconductors, Society, SupercomputerOleg Lazarov
accelerated computing, AI, AI revolution, Ampere, autonomous vehicles, chip design, Chris Malachowsky, corporate culture, CUDA, Curtis Priem, Data Centers, deep learning, Denny’s, founder-led company, GeForce 256, GPU, GPU computing, Grace CPU, high-performance computing, Hopper, HPC, Huang’s Law, immigrant entrepreneurship, innovation, Jensen Huang, leadership philosophy, Mellanox, NVIDIA, parallel processing, Silicon Valley, strategic acquisitions, strategic decisions, tech visionary, VoltaJensen Huang is the co-founder, President, and CEO of NVIDIA, a company he started in 1993 that has grown from a niche graphics chip producer into a dominant force in artificial intelligence (AI) and high-performance computing. Huang’s journey – from a young immigrant washing dishes at Denny’s to the leader of a trillion-dollar tech company…
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entityNVIDIA, the Engine of AI, one of the most influential technology powerhouses of our time
Accelerated computing, Americas, Artificial Intelligence, Automation, Automotive, Aviation & Aerospace, Deep learning, Entertainment, Gaming, Generative AI, Graphics Processing Unit (GPU), Internet & Online, Machine intelligence, Machine learning, Robotics, Science, SemiconductorsOleg Lazarov
Aalto University Incident, AI, AI algorithms, AI boom, AI Foundry, AI revolution, AI server market, ALCHEMI NIM, Amphitrite, Antitrust Investigation, ARM Holdings, artificial intelligence, Autonomous systems, autonomous vehicles, Best Places to Work, Chris Malachowsky, Colette Kress, community engagement, Controversial Acquisition, Cooling Problems, Corporate Social Responsibility, Criticism, cryptocurrency mining, CUDA, cuDNN, Curtis Priem, Data Centers, Debora Shoquist, deep learning, DeepSeek, Excessive Heat Generation, FTC Investigation, gaming, GeForce GTX 1630, GeForce GTX 1650 Super, GeForce GTX 48, GeForce GTX 970 Memory Controversy, GPU, GPU kernel modules, Grace Hopper Superchip, Green500, Heat Issues, high-demand AI applications, high-performance computing, innovation, Jay Puri, Jensen Huang, large-scale data analytics, Linus Torvalds, machine learning, NVIDIA, NVIDIA AI Enterprise, NVIDIA Clara, NVIDIA Corporation, NVIDIA DGX Systems, NVIDIA DLSS 4, NVIDIA DRIVE, NVIDIA GPU Cloud, NVIDIA Jetson, NVIDIA Omniverse™, NVIDIA RTX, NVLink, NVSwitch, Omniflow, parallel processing, Patent Disputes, Price Gouging Accusations, Professional Visualization, Proprietary Drivers, Rambus Inc., research, Stock Volatility, subpoenas, Sustainable Practices, Tegra X1, TensorRT, the Engine of AI, their high energy consumption, Tim Teter, video games, visual computing, Xockets LawsuitNvidia (NASDAQ: NVDA) has evolved into one of the most influential technology powerhouses of our time. Founded in 1993 by Jensen Huang alongside Chris Malachowsky and Curtis Priem and originally celebrated for its groundbreaking graphics processing units (GPUs), the company has continually reinvented itself—expanding its expertise well beyond gaming into areas such as artificial intelligence, deep learning,…
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robotsThe Evolution of Atlas: Boston Dynamics’ Breakthrough in Autonomous, Humanoid Robotics
Americas, Artificial Intelligence, Automation, Automotive, Electronics & Machinery, Machine intelligence, Machine learning, Physical AI, Robotics, Security & Safety, Transportation & LogisticsOleg Lazarov
advanced robotics, AI in robotics, AI-driven robots, Atlas robot, autonomous navigation, autonomous robots, backflip robot, bipedal robot, Boston Dynamics, dynamic robots, electric actuation, electric actuators, humanoid robot, humanoid robotics, Large Behavior Models (LBMs), machine learning, robot agility, robot development, robot mobility, robot performance, robot sensors, robot technology, robotics applications, robotics innovation, robotics researchAtlas is an advanced, bipedal humanoid robot created by Boston Dynamics that is designed to perform dynamic tasks typically requiring human-like mobility and agility. Originally unveiled in 2013, Atlas has evolved significantly, showcasing a variety of high-performance features and capabilities over the years. The robot’s primary purpose is to demonstrate cutting-edge robotics technology, with an…
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newsMistral AI Enhances le Chat with Powerful New Features for Seamless Productivity and AI Collaboration
AI assistants, Artificial Intelligence, Europe, Generative AI, Internet & Online, Language model training, Machine intelligenceSheryl Rivera
AGI, AI agents, AI applications, AI capabilities, AI democratization, AI features, AI-powered tools, Black Forest Labs, Canvas, ChatGPT, Claude, coding, coding support, creative brainstorming, creative industries, Design, document analysis, document understanding, Flux Pro, free beta offering, generative AI, image analysis, image generation, le Chat, Mistral AI, Mistral AI updates, multimodal model, Pixtral Large, professional tools, real-time collaboration, task automation, web search with citations, work assistant, workflow automationPARIS — Mistral AI is pushing the boundaries of generative AI and productivity with significant updates to le Chat, its free AI-powered work assistant. As part of Mistral AI’s ongoing mission to blend advanced machine learning with seamless human interaction, the company has introduced a range of new capabilities designed to enhance performance, creativity, and…
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booksYuval Noah Harari’s Nexus: Truth, Power, and AI: The Evolution of Information Networks in Nexus
Art & Culture, Artificial Intelligence, Education, Entertainment, Internet & Online, Machine intelligence, Machine learning, Media, SocietyOleg Lazarov
AI and society, AI manipulation, AI risks, artificial intelligence, authoritarian regimes, Barnes & Noble, Books on the Hill, digital age ethics, ethical impact of AI, future of democracy, Goodreads, history and AI, history of information networks, history of technology, human agency, information control, information systems, myths and propaganda, Nexus book, societal transformation, Stone Age to AI, technological evolution, truth and power, Yuval Noah HarariFrom Stone Age to AI: Harari’s Take on Information Networks in Nexus In Nexus, Yuval Noah Harari (here’s the author’s website: ynharari.com) presents a compelling analysis of how information networks have shaped human history, from early societies to today’s AI-driven world. Through historical events such as the canonization of the Bible, witch hunts, and totalitarian…
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newsRefik Anadol Partners with Meta’s Llama to Create Groundbreaking ‘Large Nature Model’
AI assistants, Algorithms, Americas, Analytics, Art & Culture, Artificial Intelligence, Datasets, Internet & Online, Machine intelligence, Media, Open Source LLMsSheryl Rivera
MENLO PARK — In a recent episode of the podcast Boz To The Future, Meta’s CTO and Head of Reality Labs, Andrew “Boz” Bosworth, engaged in a compelling conversation with celebrated media artist Refik Anadol. Known for his groundbreaking work at the crossroads of data aesthetics and machine intelligence, Anadol employs vast datasets as a…
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newsSoftBank Acquires Graphcore to Propel AI Hardware Innovation and Expansion
Artificial Intelligence, Asia, Europe, Generative AI, Machine intelligence, Machine learning, SemiconductorsOleg Lazarov
acquisition, advancing machine learning, AGI, AI, AI applications, AI compute, AI Hardware, Bristol, foundation models, generative AI applications, Graphcore, IPU, machine intelligence, Nigel Toon, processor, processor design, semiconductors, silicon companies, Simon Knowles, SoftBank, SoftBank Group Corp., SoftBank Investment Advisers, Vikas J. ParekhBRISTOL — In a significant move for the AI industry, Graphcore, a pioneering company in AI hardware, has been acquired by SoftBank Group Corp. This acquisition sees Graphcore becoming a wholly owned subsidiary of SoftBank, though it will continue to operate under its established name. “This is a tremendous endorsement of our team and their…
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newsEricsson Leads 5G Evolution with Innovations at Imagine Live Roadshow
Artificial Intelligence, Asia, Edge computing, Europe, Generative AI, Infrastructure & Utilities, Internet & Online, Machine intelligence, Responsible AI, TelecomSheryl Rivera
5G, 5G Core, 5G monetization, advanced RAN slicing, AI Technologies, Artificial Intelligence Accelerator, communications service providers, connected worker experience, connectivity solutions, differentiated connectivity, Enhanced Sports Experiences, Enterprise Transformation, Ericsson, Ericsson Imagine Live, Ericsson Research, Imagine Live Roadshow, Indian Institute of Technology Kharagpur, Indian Statistical Institute, mobile broadband services, Network API, network platform, network slicing, neuromorphic algorithms, Nitin Bansal, OverIT, private 5G networks, programmable networks, RealWear, RedCap technology, Service Level Agreement assurance, software toolkit, Time-Critical CommunicationSTOCKHOLM — Today, at the Ericsson Imagine Live Roadshow, Ericsson (NASDAQ: ERIC) unveiled its cutting-edge 5G connectivity solutions and groundbreaking use cases, signaling a significant leap forward in the realm of telecommunications technology. The event showcased Ericsson’s commitment to driving India’s digital transformation by revolutionizing the mobile network landscape, according to a press release published on…
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newsProfessor Majid Khadiv Pioneers Robotics Revolution at Technical University of Munich
Algorithms, Artificial Intelligence, Automation, Education, Europe, Industrial, Machine intelligence, Machine learning, RoboticsOleg Lazarov
Automan, Autonomous Humanoid Robot, Bolt, dynamic environments, embodied artificial intelligence, hazardous tasks, humanoid robot, machine learning, Majid Khadiv, Munich Institute of Robotics and Machine Intelligence, repetitive tasks, robotics, robotics research, Surena, Technical University of Munich, TUMMUNICH — In a bid to advance robotics and alleviate humans from perilous duties, Professor Majid Khadiv, the renowned Professor of AI Planning in Dynamic Environments at Technical University of Munich (TUM), unveils his groundbreaking project: ‘Automan’. Khadiv’s vision for ‘Automan’, the Autonomous Humanoid Robot, aims to transform the landscape of hazardous and repetitive tasks…
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newsSanctuary AI Unveils Cutting-Edge Generation 7 of ‘Phoenix’ Robots
Americas, Artificial Intelligence, Automotive, Industrial, Machine intelligence, Reinforcement learning, RoboticsOleg Lazarov
VANCOUVER — Sanctuary AI, a trailblazer in the field of general purpose robotics, has introduced the highly anticipated seventh generation of its flagship general purpose robot, Phoenix™. This groundbreaking release signifies a significant leap forward in advancing the capabilities of AI-driven robotics, with unparalleled improvements in both hardware and software. The latest iteration of Phoenix…
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newsSanctuary AI Teams Up with Magna to Revolutionize Automotive Manufacturing with General Purpose Robots
AI models, Americas, Artificial Intelligence, Automation, Automotive, Machine intelligence, RoboticsOleg Lazarov
VANCOUVER — Sanctuary AI, a leading innovator in the field of general purpose robotics, has unveiled a groundbreaking partnership with Magna, a global mobility technology company. This collaboration marks a significant step forward in advancing the integration of artificial intelligence (AI) into the automotive manufacturing sector. The partnership between Sanctuary AI and Magna is multifaceted,…
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newsMeta Launches V-JEPA: A New Model for Video-Based Advanced Machine Intelligence
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine intelligence, Machine learning, Media, Predictive analyticsOleg Lazarov
abstract representation space, action recognition, advanced machine intelligence, AI community, AI perception, AMI, CC BY-NC, Creative Commons NonCommercial, fine-grained object interactions, general machine intelligence, JEPA, machine learning, Meta, Meta AI, non-generative model, open science, planning, self-supervised learning, spatial-temporal events, V-JEPA, Video Joint Embedding Predictive Architecture, video streams, video-based AI, world models, Yann LeCunMENLO PARK — Meta has unveiled the Video Joint Embedding Predictive Architecture (V-JEPA), a pioneering model designed to push forward advanced machine intelligence (AMI). V-JEPA is a non-generative model that learns through predicting masked or missing sections of video in an abstract representation space, making it a crucial step toward AI that understands and interacts…
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newsThe Alan Turing Institute and Digital Catapult Join Forces to Boost Data Science and AI Research in the UK
Sheryl Rivera
AI, Alan Turing Institute, artificial intelligence, Challenge Owners, collaboration, Data Science, Digital Catapult, Dr Jeremy Silver, Dr Sebastian Vollmer, Education, Hackathon, innovation, Internet & Online, investment, Machine Intelligence Garage, Partnership, research, Scale-ups, Science, Small Business, start-ups, technology, United KingdomLONDON – The Alan Turing Institute and Digital Catapult have forged a strategic alliance to advance the UK’s position as a global hub for data science and AI research, collaboration, and innovation. Today marks the official collaboration between the Turing and Digital Catapult, aimed at supporting start-ups and scale-ups in London to nurture their innovative concepts,…
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newsRadicalShift.AI launches
Accelerated computing, Agriculture, AI accelerators, AI models, Algorithms, Americas, Analytics, Apparel, Fashion & Beauty, Art & Culture, Artificial Intelligence, Asia, Automotive, Autonomous driving, Aviation & Aerospace, Banks, Chatbots, Chemicals, Cloud, Computer vision, Construction, Deep learning, Defence, Economy, Education, Electronics & Machinery, Energy, Gas & Oil, Entertainment, Environment, Europe, Financial, Food & Beverage, Gaming, Generative AI, Generative pre-trained transformers (GPT), Government, Graph neural network (GNN), Healthcare, Industrial, Infrastructure & Utilities, Insurance, International Trade, Internet & Online, Investment, Language model training, LLMs (Large Language Models), Machine intelligence, Machine learning, Management, Market, Marketing, Media, Metals and Minerals, Natural language processing (NLP), Neural networks, Non Profit, Open Source LLMs, Pharma & Biotech, Politics, Predictive analytics, Quantum Computing, Real Estate, Region, Reinforcement learning, Responsible AI, Retail, Retrieval-augmented generation (RAG), Robotics, Science, Security & Safety, Speech recognition and generation, Sports, Startups, Technology, Telecom, Text-to-image, Text-to-video, Transportation & Logistics, TravelRadicalShift.AI
RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable…
What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.
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