Neural networks – AI.RadicalShift

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, Semiconductors

April 1, 2025

Oleg 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, XLA

Key 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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interviewsVery Long Interview with Grok 3 on AI: The Great Handover: How AI is Reshaping Our World

Accelerated computing, Agent AI, AI assistants, AI models, Algorithms, Americas, Artificial Intelligence, Augmented reality, Automotive, Autonomous driving, Aviation & Aerospace, Chemicals, Datasets, Deep learning, Defence, Edge AI, Edge computing, Electronics & Machinery, Energy, Gas & Oil, Entertainment, Environment, Financial, Gaming, Generative AI, Graph neural network (GNN), Graphics Processing Unit (GPU), Healthcare, Internet & Online, LLMs (Large Language Models), Machine learning, Natural language processing (NLP), Neural networks, Pharma & Biotech, Quantum Computing, Science, Security & Safety, Semiconductors

March 14, 2025

Oleg Lazarov

2nm chips, Adobe’s AI, agentic AI, AGI, AI, AIVA’s tracks, Apple M-series, Apple’s Neural Engine, Apple’s Secure Enclave, AR, AutoGPT, automation, AWS SageMaker, biases, Black Box Blues, brain-computer interfaces (BCI), brain-signal-to-text, cancer patients, carbon-neutral cities, Cerebras, chain-of-thought, chain-of-thought reasoning, chiplets, CLIP, convolutional neural networks, creative collaboration, creativity, data synthesis, decision trees, decision-making, deep learning, Drug Discovery, Duolingo, edge AI, Edge chips, Education, energy efficiency, EU AI Act, Explainable AI, FedAvg, federated learning, generative adversarial networks (GANs), Georgia State’s AI system, GitHub, Google, Google’s DeepMind, Google’s VideoLLM, GPT-4, GPUs, Grok, Grok 3, Grok’s Toolkit, H200, hallucinations, Healthcare, high bandwidth memory (HBM3), HIPAA compliance, homomorphic encryption, human oversight, IBM, IBM Watson Health, IBM’s AI Fairness 360, innovation, Jasper, jobocalypse, Khan Academy, linear regression, LLMs, machine learning, March 14 2025, Meta, Meta’s SeamlessM4T, Microsoft’s Copilot, Midjourney, Mixture of Experts, modern AI, MS COCO, multimodal AI, natural language processing (NLP), Nest, neural networks, neuromorphic processors, No Man’s Sky, NVIDIA’s DLSS, NVIDIA’s Jetson, NVLink, OpenAI o1, OpenAI’s GPT-4o, Pepsi, personalized medicine, Pfizer, predictive models, privacy, PyTorch, Qualcomm Snapdragon, quantum computing, Rain Neuromorphics, reasoning algorithms, reasoning models, Reinforcement Learning from Human Feedback, remote work, RL, RLHF, robotics, RunwayML, Sakana AI, scientific discovery, self-driving cars, sepsis onset, SHAP, Siemens’ edge solutions, simulations, Slack, Smell data, softmax weights, support vector machines, sustainability, Sycamore, synthetic data, Tempus, TensorFlow, Tesla’s Full Self-Driving chips, TinyML, touch data, TPUs, traditional ML, transformers, TSMC, upskilling, ViT, VQA, VR, Wafer-Scale Engine, wearables, XAI

This interview with Grok, conducted between March 14 and 18, 2025, explored the multifaceted radical shifts AI is driving across the globe, reflecting RadicalShift.AI’s mission to obsessively observe these changes. We traversed a vast landscape—starting with AI’s implications for intellectual property, where it blurs ownership and challenges legal norms, to its ethical quandaries in military…
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analysesNVIDIA’s Role in Healthcare Innovation Feb 2025

Accelerated computing, Americas, Analytics, Artificial Intelligence, Big Data, Generative AI, Healthcare, Neural networks, Pharma & Biotech, Predictive analytics, Semiconductors

March 4, 2025

RadicalShift.AI

$10 trillion, 1993, 2025, AI, AlphaFold2, Amgen, Arc Institute, biologics, BioNeMo™, California, Clara, clinical trials, Cosmos Nemotron, CT, deCODE genetics, Deloitte, DGX Cloud, DGX SuperPOD, DGX systems, DiffDock 2.0, Drug Discovery, Freyja, genomics, GPUs, H100 Tensor Core GPUs, Healthcare, Iceland, Illumina, IQVIA, J.P. Morgan Healthcare Conference, Mayo Clinic, medical imaging, MONAI, MRI, NIM microservices, NVIDIA, Parabricks, precision medicine, ProteinMPNN, Quartz Atlas AI, RAPIDS, Reykjavik, RFdiffusion, Santa Clara, The Crick Team, TRACERx EVO, UC San Diego, ultrasound, Wellcome Sanger Institute

Key Points Nvidia is a tech leader in GPUs and AI, expanding into healthcare with innovative platforms. Partners with major healthcare firms like IQVIA, Illumina, Mayo Clinic, and Amgen for AI-driven solutions. Impacts drug discovery, medical imaging, genomics, and clinical trials, accelerating research and improving outcomes. Surprisingly, Nvidia’s AI helps predict protein properties for biologics,…
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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, Supercomputer

February 26, 2025

Oleg 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, Volta

Jensen 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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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, Society

December 12, 2024

Sheryl 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 Tübingen

LONDON — 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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newsNVIDIA and University of Maryland Introduce QUEEN AI Model, Revolutionizing 3D Streaming Applications

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, LLMs (Large Language Models), Machine learning, Media, Neural networks, Open Source LLMs, Robotics

December 10, 2024

Sheryl Rivera

3D streaming, AI model, Bing Xu, compression, diffusion models, dynamic scenarios, flames, free-viewpoint video, furry textures, GANs, Healthcare, immersive applications, industrial robotics, media, NeurIPS 2024, NVIDIA, NVIDIA AI advancements, NVIDIA Research, open-source, project page, QUEEN, rendering, robotics, simulation, sparks, sports broadcasting, static scene elements, teleoperation, telepresence, Tensor Core GPU, Test of Time Award, University of Maryland, videoconferencing, visual quality

SANTA CLARA — NVIDIA Research, in collaboration with the University of Maryland, has unveiled QUEEN, an advanced AI model that enables free-viewpoint video streaming. This technology allows users to experience 3D scenes from any perspective, opening up possibilities for immersive applications in industries like media, robotics, and telepresence. The model will be presented at NeurIPS…
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newsIntel Leads Workshops and Demos at NeurIPS 2024, Showcasing Cutting-Edge AI Research and Social Impact Initiatives

AI assistants, AI models, Americas, Analytics, Artificial Intelligence, Industrial, Machine learning, Natural language processing (NLP), Neural networks, Quantum Computing, Responsible AI

December 4, 2024

Oleg Lazarov

AI, AI applications, AI development, AI for Accelerated Materials Design, AI innovations, AI research, AI-driven materials discovery, AI-powered voice assistants, AI4Mat, Breaking Silos Open Community for AI x Science, Brigham Young University, Electrical and Computer Engineering, Intel, Intel Labs, Intel’s marketing strategy, multimodal AI, natural language understanding, NeurIPS 2024, NeurIPS Developer Networking Meetup, neuromorphic computing, OpenVINO, OpenVINO toolkit, Personal AI Assistant Demo, quantum computing, RBFM, responsible AI, Scott Bair, Vancouver Convention Centre, WiML, Women in Machine Learning

SANTA CLARA — Intel is making a major contribution to the 2024 Neural Information Processing Systems (NeurIPS) conference, which will be held from December 10th to 15th at the Vancouver Convention Centre, Canada. The tech giant is actively involved in organizing and leading several workshops, demos, and networking events designed to advance research and collaboration…
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newsAlphaChip: Google DeepMind’s Breakthrough in AI-Driven Chip Design

AI assistants, AI models, Artificial Intelligence, Europe, Industrial, Machine learning, Neural networks, Open Source LLMs, Semiconductors

September 28, 2024

Sheryl Rivera

2020, addendum, AI, AI-driven method, AlphaChip, chip, chip design, computer chips, Google DeepMind, human designs, layouts, model weights, Nature, pre-trained checkpoint, preprint, publication, reinforcement learning, Tensor Processing Unit, TPU

LONDON — On September 26, 2024, Google DeepMind released an addendum in Nature that explores the impact of AlphaChip, an AI-driven method that has transformed computer chip design. Building on their initial 2020 preprint and subsequent publication, this release introduces the AlphaChip model, along with a pre-trained checkpoint and shared model weights. Since its introduction,…
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newsPlanet AI Drives Innovation as Bechtle Expands Rostock Hub for AI Solutions

Artificial Intelligence, Automation, Europe, Industrial, Machine learning, Neural networks

April 30, 2024

Sheryl Rivera

AI applications, AI deep learning, AI development, AI Ecosystem, AI funding, AI innovation, AI marketing, AI partnerships, AI research, AI solutions, AI talent, AI-based solutions, applied research, Bechtle AG, CITlab, digital transformation, digitalization expertise, EU-backed projects, Heilbronn, Innovation Park Artificial Intelligence, Intelligent Document Analysis, Ipai, Jesper Kleinjohann, Jochen Schulte, Mecklenburg-West Pomerania, Michael Guschlbauer, neural networks, Planet AI, process automation, Rostock hub, SME digitalization, University of Rostock

NECKARSULM — Bechtle AG is advancing its vision for AI-driven growth by transforming its Rostock location into a hub for Planet AI’s cutting-edge applications, which are marketed across Europe by the Bechtle Group. The decision to expand in Rostock leverages its proximity to the University of Rostock, a long-term collaborator with Planet AI in application-oriented…
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newsARM, a British Semiconductor Powerhouse, Unveils Powerful New Tools for Edge AI Development

Analytics, Artificial Intelligence, Computer vision, Electronics & Machinery, Europe, Generative AI, Industrial, Internet & Online, IoT, Neural networks, Security & Safety, Semiconductors

April 25, 2024

Oleg Lazarov

AI, AI systems, Alif Semiconductor, ARM, automation, Corstone-320, edge AI deployment, Ethos-U85 NPU, generative AI, Infineon, IoT, multi-camera data analysis, Paul Williamson, PyTorch, Reza Kazerounian, semiconductors, smart home, TensorFlow, TensorFlow Lite

CAMBRIDGE – Cambridge-based semiconductor and software design powerhouse ARM (NASDAQ: ARM) has introduced two advanced technologies aimed at transforming edge AI applications— the Ethos-U85 NPU and the Corstone-320 IoT Reference Design Platform. According to Paul Williamson, SVP and GM of the IoT LoB at ARM, these innovations promise to substantially boost the performance and efficiency…
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newsFacebook AI Partners with Universities to Boost Diversity in AI Education

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Education, Industrial, Internet & Online, Machine learning, Neural networks

October 22, 2020

Sheryl Rivera

African Institute for Mathematical Sciences, AI co-teaching program, AI education, AI Habitat, AI inclusion, AI mentorship, AI partnerships, AI research, Align Master’s in Computer Science, artificial intelligence, Black in AI, Charles Isbell, computer vision, deep learning courses, diversity in AI, diversity in tech, Facebook AI, Facebook engineers, fastMRI, Georgia Tech, graduate-level AI education, Jess Erickson, language understanding, LatinX in AI, machine learning, neural networks, PyTorch, underrepresented groups in tech, Women in ML, Zsolt Kira

MENLO PARK — Artificial Intelligence (AI) is revolutionizing many aspects of life, from healthcare to transportation, but to ensure its continued growth and inclusivity, it is essential that the field be taught and developed by individuals from diverse backgrounds. Facebook AI recognizes this need and is taking action by expanding educational pathways into AI for…
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newsAI-Driven Farming Machines Powered by PyTorch Revolutionize Weed Control for Sustainable

Agriculture, AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Neural networks

August 6, 2020

Sheryl Rivera

agricultural technology, agriculture, agronomists, AI, AI-powered, Blue River Technology, chemical reduction, Chris Padwick, computer vision, cost savings, crops, Data Science, farming, field machines, herbicide, high-resolution camera, iterative development, John Deere, machine learning, ML models, neural network, precision farming, production workflows, PyTorch, real-time analysis, resource efficiency, See & Spray, sustainability, sustainable agriculture, weed scientists, weeds, Weights & Biases

MENLO PARK — AI is revolutionizing farming, and PyTorch is at the forefront, enabling the development of advanced AI-powered farming machinery. California-based Blue River Technology, a subsidiary of John Deere, has integrated machine learning (ML) and computer vision into its See & Spray farming machine to help farmers combat weeds more efficiently. Weeds are a…
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newsFacebook AI Develops Technology to Convert 2D Photos into 3D Using Neural Networks

AI assistants, Americas, Analytics, Artificial Intelligence, Augmented reality, Internet & Online, Neural networks, Robotics

February 28, 2020

Sheryl Rivera

2D to 3D conversion, 3D Photos, 3D structure, AI technology, augmented reality, ChamNet, CNN, content creation, convolutional neural network, depth estimation, depth maps, Facebook, Facebook AI, FBNet, image processing, machine learning, mobile devices, neural networks, real-time applications, robotics, single-lens smartphone

MENLO PARK — In 2018, Facebook launched its immersive 3D Photos feature, which initially relied on dual-lens “portrait mode” capabilities found in high-end smartphones. However, with advancements in machine learning, this feature is now accessible to users with standard 2D photos, whether from a single-lens smartphone or older images uploaded to any device. Using state-of-the-art…
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newsFacebook AI Introduces ‘Radioactive Data’ to Track Dataset Usage in Machine Learning Models

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Neural networks

February 5, 2020

Sheryl Rivera

AI Models, AI research, bias detection, classifier alignment, CNN, convolutional neural networks, cosine similarity, data integrity, data misuse, dataset poisoning, dataset tracking, DenseNet-121, downstream models, Facebook AI, feature representation, feature space perturbation, image classification, image marking, ImageNet, machine learning, model training, model verification, neural network performance, neural networks, p-value, radioactive data, ResNet-18, training detection, VGG-16

MENLO PARK — Facebook AI has developed an innovative technique, called “radioactive data,” designed to trace whether a particular dataset has been used to train a machine learning model. This approach embeds subtle, undetectable marks into datasets, offering a reliable way for researchers to identify the presence of these datasets in model training, while ensuring…
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newsFacebook AI Develops Groundbreaking Neural Network System to Solve Advanced Mathematical Equations

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Internet & Online, Machine learning, Neural networks

January 14, 2020

Oleg Lazarov

advanced mathematics, AI research, AI solutions, AI system, deep learning, deep learning models, differential equations, equation-solving AI, equation-solving software., Facebook AI, integration problems, language-like syntax, machine translation, mathematical expressions, Neural Machine Translation, neural networks, NLP, NMT, pattern recognition, seq2seq models, sequence-to-sequence neural networks, symbolic data, symbolic equations, symbolic reasoning, transformers

MENLO PARK — Facebook AI has developed an innovative AI system capable of solving complex mathematics equations, specifically focusing on symbolic reasoning for advanced problems like integrations and differential equations. This groundbreaking approach leverages neural networks and Natural Machine Translation (NMT) techniques, transforming mathematical expressions into a language-like syntax that allows AI to solve these…
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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, Travel

April 23, 2017

RadicalShift.AI

AI, AI industry, AI industry graph, AI industry repository, Algorithms, artificial intelligence, deployments, elevator pitch, entities, insights to knowledge, investors, jobs, LLMs, news, NLP, paradigm shift, people, products, RadicalShift.ai, RAG, scalable open platform, tools, views

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…
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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.

AI.RadicalShift

Category: Neural networks

interviewsVery Long Interview with Grok 3 on AI: The Great Handover: How AI is Reshaping Our World

analysesNVIDIA’s Role in Healthcare Innovation Feb 2025

individualsJensen Huang: Visionary Leader Powering the GPU and AI Revolution

newsOutstanding Machine Learning Researchers Honored with ELLIS PhD Award

newsNVIDIA and University of Maryland Introduce QUEEN AI Model, Revolutionizing 3D Streaming Applications

newsIntel Leads Workshops and Demos at NeurIPS 2024, Showcasing Cutting-Edge AI Research and Social Impact Initiatives

newsAlphaChip: Google DeepMind’s Breakthrough in AI-Driven Chip Design

newsPlanet AI Drives Innovation as Bechtle Expands Rostock Hub for AI Solutions

newsARM, a British Semiconductor Powerhouse, Unveils Powerful New Tools for Edge AI Development

newsFacebook AI Partners with Universities to Boost Diversity in AI Education

newsAI-Driven Farming Machines Powered by PyTorch Revolutionize Weed Control for Sustainable

newsFacebook AI Develops Technology to Convert 2D Photos into 3D Using Neural Networks

newsFacebook AI Introduces ‘Radioactive Data’ to Track Dataset Usage in Machine Learning Models

newsFacebook AI Develops Groundbreaking Neural Network System to Solve Advanced Mathematical Equations

newsRadicalShift.AI launches

What is RadicalShift AI?

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