deep learning – 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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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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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, Semiconductors

February 17, 2025

Oleg 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 Lawsuit

Nvidia (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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newsTU Dresden’s Clinical AI Research Group Leverages Llama Models to Revolutionize Cancer Care and Healthcare Innovation

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Education, Europe, Healthcare, LLMs (Large Language Models), Pharma & Biotech

January 8, 2025

Sheryl Rivera

agent-based approaches, AI deployment, AI in healthcare, anonymization, Clinical AI research group, clinical decision-making, clinical workflows, computational innovation, data security, deep learning, Else Kröner Fresenius Center for Digital Health, healthcare institutions, hospital hardware, Hugging Face, large language models, Llama 3.1, llama.cpp, medical coding, medical data, medical documents, medical jargon, medical professionals, multilingual capabilities, patient data, patient outcomes, personalized patient care, precision oncology, real-time clinical data, research, structured data, TUD Dresden University of Technology

MENLO PARK — TUD Dresden University of Technology is at the forefront of innovation in healthcare through its Clinical AI research group at the Else Kröner Fresenius Center for Digital Health. The group is transforming cancer care by applying cutting-edge computational techniques, particularly in precision oncology. Their work focuses on enhancing clinical decision-making by using…
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newsNVIDIA Expands AI Training with Two New Professional Certifications for Infrastructure and Operations Practitioners

AI models, Americas, Artificial Intelligence, Data centers, Education, Generative AI, Industrial, LLMs (Large Language Models)

December 4, 2024

Sheryl Rivera

accelerated computing, AI careers, AI certifications, AI data center technologies, AI infrastructure, AI Infrastructure certification, AI Operations certification, AI software, AI Summit, AI workloads, AI-based solutions, BCM, BlueField DPUs, compute platforms, deep learning, DevOps, Docker, DPU, DPU services, generative AI, Generative AI LLMs, Generative AI Multimodal, GPU, hardware validation, Kubernetes, MIG, MLOps, networking, NGC containers, NVIDIA, NVIDIA AI Enterprise, NVIDIA BlueField, NVIDIA NGC, NVIDIA-Certified Associate, NVIDIA-Certified Professional, professional certification, Saleh Hassan, Slurm, storage solutions, system optimization, Two Six Technologies, Washington D.C., workforce capabilities

SANTA CLARA — As the world of generative AI continues to evolve, the demand for skilled professionals who can effectively manage the infrastructure required to develop and deploy AI solutions has never been higher. To address these growing needs, NVIDIA has introduced two new certifications designed for professionals working with AI infrastructure and operations. These new…
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communitiesA LinkedIn Hub for Deep Learning, Big Data, and Emerging Tech Enthusiasts: Connect, Learn, and Grow with Industry Leaders

AI assistants, Americas, Artificial Intelligence, Big Data, Chatbots, Deep learning, Internet & Online, Machine learning, Marketing, Media, Technology

November 13, 2024

RadicalShift.AI

AI community, AI Industry Trends, AI Networking, Big Data, chatbots, deep learning, Emerging Tech, LinkedIn, machine learning, Professional Development, virtual assistants

The LinkedIn group titled “Artificial Intelligence, Deep & Machine Learning, AI, Big Data, Virtual Assistants, Chatbots” serves as a dynamic platform for professionals, researchers, and enthusiasts in the AI sector. With a substantial membership base (over 85k members as of Nov 2024), the group fosters discussions on a wide array of topics, including machine learning…
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newsRobovision 5.7 Revolutionizes Semiconductor Manufacturing with AI-Powered Defect Detection

Artificial Intelligence, Computer vision, Europe, Industrial, Robotics, Semiconductors

November 4, 2024

Oleg Lazarov

3D geometries, advanced technologies, AI algorithms, AI learning, AI model, AI platform, AI-powered defect detection, API Integration, automation, Bart Baekelandt, chip design, continuous improvement, deep learning, defect classification, defect detection system, hardware compatibility, inspection process, lithography, Manufacturing Efficiency, manufacturing workflows, Operational Optimization, Purity Loop, real-time analysis, Robovision, Robovision 5.7, scalability, semiconductor defects, semiconductor fabs, semiconductor manufacturing, semiconductor technology, Split View, Thomas Van den Driessche, wafer maps, yield improvement

GHENT — As the cornerstone of modern technology, semiconductor manufacturing plays a pivotal role in the devices that power everyday life. However, with ever-smaller chips and increasingly complex designs, the challenge of detecting even the tiniest defects has become a monumental task. Traditional inspection methods, reliant on manual checks and rule-based systems, are struggling to…
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newsMeta Launches Digital Twin Catalog: Revolutionizing 3D Object Creation for E-Commerce and Immersive Experiences

AI assistants, Algorithms, Americas, Artificial Intelligence, Augmented reality, Datasets, Digital twins, Industrial, Internet & Online, Machine learning, Open Source LLMs, Virtual reality

September 30, 2024

Sheryl Rivera

3D models, 3D object creation, 3D reconstruction, AI, artificial intelligence, augmented reality, augmented reality storefront, computer vision, Covision Media, deep learning, digital transformation, Digital Twin Catalog, Digital Twins, e-commerce, immersive experiences, machine learning, Meta, neural networks, neural radiance fields, object reconstruction research, photorealism, Project Aria, Reality Labs Research, Shopify, Shopify partnership, sub-millimeter accuracy, virtual shopping

MENLO PARK — Imagine a pottery store owner displaying a newly crafted vase in front of customers with remarkable precision, allowing them to examine it from every angle as if they were holding it. Thanks to Meta’s new technology, this future is closer than ever. The Digital Twin Catalog (DTC) from Reality Labs Research has…
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newsThe Dawn of the Intelligence Age: Sam Altman on AI’s Transformative Future

AI assistants, Americas, Artificial Intelligence, Deep learning, Industrial, Internet & Online, Science, Society

September 25, 2024

Sheryl Rivera

AI, ai assistants, AI revolution, AI risks, artificial intelligence, Autonomous systems, compute, deep learning, deep learning advancements, digital revolution, economic transformation, energy, future technology, global prosperity, Healthcare, human progress, innovation, Intelligence Age, intelligent systems, labor markets, personalized instruction, prosperity, Sam Altman, societal impact, superintelligence, sustainable development, virtual tutors

SAN FRANCISCO — Sam Altman, in his thought-provoking article, explores the remarkable advancements that will define the coming decades, thanks to the rapid evolution of artificial intelligence (AI). Altman emphasizes that while human capability has consistently increased over time, this new surge in potential is not due to genetic changes but rather the collective intelligence…
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datasetsSNLI: A Benchmark Dataset Fueling Advances in Natural Language Inference (NLI)

AI Inference, Americas, Artificial Intelligence, Datasets, Deep learning, Language model training, Machine learning

September 18, 2024

RadicalShift.AI

annotators, attention mechanisms, BiLSTMs, contradiction, dataset, deep learning, entailment, Flickr30k dataset, LSTMs, natural language inference, Neutral, NLI, recognizing textual entailment, RTE, SNLI, Stanford Natural Language Inference, training

The Stanford Natural Language Inference (SNLI) Dataset is a large-scale dataset developed to support research on natural language inference (NLI), also known as recognizing textual entailment (RTE). The dataset contains 570,000 pairs of sentences manually annotated as entailment, contradiction, or neutral, which are the three possible relationships between a premise and a hypothesis. Key Features:…
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newsOpenAI Announces Leadership Transition: Jakub Pachocki Steps In as Chief Scientist Following Ilya Sutskever’s Departure

Algorithms, Analytics, Artificial Intelligence, Deep learning, Generative AI, Generative pre-trained transformers (GPT), Internet & Online, Management

May 15, 2024

Oleg Lazarov

AGI, AI research, artificial general intelligence, artificial intelligence, Carnegie Mellon University, deep learning, GPT-4, Ilya Sutskever, innovation, Jakub Pachocki, Leadership Transition, OpenAI, OpenAI Five, reinforcement learning, Sam Altman, technology

SAN FRANCISCO — OpenAI today announced a significant leadership change as co-founder Ilya Sutskever steps down from his role, making way for Jakub Pachocki to take on the mantle of Chief Scientist. The transition marks the end of an era for OpenAI, as Sutskever has been a cornerstone of the company’s research and vision since…
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newsEviden Unveils BullSequana AI: A Groundbreaking End-to-End AI Solution

Americas, Artificial Intelligence, Deep learning, Energy, Gas & Oil, Europe, Industrial, LLMs (Large Language Models)

May 2, 2024

Sheryl Rivera

advanced computing, AI, AI adoption, AI operationalization, Angers, Atos Group, BullSequana AI, CNRS, deep learning, density, Direct Liquid Cooling (DLC) technology, Dr. Cédric Bourrasset, energy efficiency, Eviden, fine-tuning, France, GENCI, inferencing, Jarvice™ XE, Jean Zay supercomputer, large language models (LLMs), mass distribution, new energies, NVIDIA, NVIDIA GB200 Grace Blackwell Superchips, NVIDIA GH200 Grace Hopper Superchips, NVIDIA Quantum-2 InfiniBand networking, Serge Palaric, server ranges, Smart Energy Management Suite, Smart Management Center, Stephane Requana

PARIS — Eviden, a prominent business within the Atos Group specializing in advanced computing, makes a significant announcement today with the introduction of its latest product line, “BullSequana AI.” This comprehensive offering comprises five distinct AI server ranges meticulously tailored to address a diverse array of AI workloads. Whether for inferencing AI models at the…
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newsBechtle and Planet AI Forge Path to AI Innovation Hub in Rostock

Analytics, Artificial Intelligence, Deep learning, Education, Europe, Infrastructure & Utilities

April 30, 2024

Sheryl Rivera

AI applications, AI research, artificial intelligence, Baden-Württemberg, Bechtle, cooperation agreement, deep learning, digital transformation, EU funding, Heilbronn, IDA, Infrastructure and Tourism, innovation ecosystem, Innovation Park Artificial Intelligence, Intelligent Document Analysis, Ipai, IT System House, Jesper Kleinjohann, Jochen Schulte, Managed Services, Mecklenburg-West Pomerania, Michael Guschlbauer, Planet AI, Rostock, University of Rostock, University of Rostock’s CITlab

NECKARSULM — Bechtle AG, in collaboration with Planet AI, is poised to elevate Rostock into a pivotal hub for groundbreaking AI applications, marking a significant stride in their joint endeavor to revolutionize the European AI landscape. This strategic move is buoyed by the proximity to the University of Rostock, fostering a symbiotic relationship that has…
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newsESET and DeepMind Spearhead Eastern European Summer School of Machine Learning: Fostering AI Knowledge Exchange

Artificial Intelligence, Deep learning, Education, Europe, Machine learning, Security & Safety

July 12, 2023

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 Bengio

BRATISLAVA — 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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newsOpenAI Launches Residency Program to Foster AI Talent

Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Education, Generative AI, Generative pre-trained transformers (GPT), Industrial, Internet & Online, Machine learning

November 30, 2021

Sheryl Rivera

AI engineers, AI professionals, AI research, AI researchers, AI skills, AI talent, artificial intelligence, beneficial AGI, Christine McLeavey, deep learning, engineering skills, Fellows program, Ilya Sutskever, Jonathan Ward, machine learning, mentorship programs, OpenAI Residency, OpenAI teams, practical AI skills, Sam Altman, Scholars program, software engineer

SAN FRANCISCO — OpenAI has unveiled its latest initiative, the OpenAI Residency, aimed at cultivating the next generation of AI researchers and engineers. The program represents a significant step in OpenAI’s commitment to nurturing diverse talent within the field of artificial intelligence. Building on the success of its former Scholars and Fellows programs, the Residency…
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newsAirbus and Neural Concept Renew Collaboration to Enhance Aircraft Design Using Deep Learning

Artificial Intelligence, Aviation & Aerospace, Deep learning, Europe, Industrial

September 9, 2021

Sheryl Rivera

Airbus, aircraft aerodynamics, Artificial Intelligence techniques, collaboration, deep learning, design engineers, interactive design optimization, license agreement, Neural Concept, NeurIPS conference, next-generation aircraft, real-time simulation

LAUSANNE — Neural Concept, a leading provider of deep learning solutions, announced today the renewal of its multiple-year collaboration and license agreement with Airbus, a global leader in aerospace, according to a press release published on EuropaWire. This strategic collaboration focuses on democratizing the application of deep learning technology for design engineers, enabling real-time simulation…
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newsFacebook AI Reengineers Deep Learning Platforms for Greater Flexibility and Collaboration

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Deep learning, Internet & Online, Machine learning, Natural language processing (NLP)

December 21, 2020

Oleg Lazarov

AI platforms, AI research, ClassyVision, collaboration, computer vision, content understanding, deep learning, Facebook AI, Fairseq, Hydra, interoperability, machine learning, modularization, natural language processing, PyText, PyTorch, PyTorch Lightning, Transformer layers

MENLO PARK — Artificial intelligence (AI) plays a crucial role at Facebook, powering everything from intelligent shopping recommendations and harmful content detection to text translation and automated caption generation. To achieve this, Facebook AI has developed several deep learning platforms, such as ClassyVision, Fairseq, and PyText, which allow for seamless model training and deployment. However,…
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newsFacebook AI Introduces First Ever Translation Model That Bypasses English for 100 Language Pairs

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

October 19, 2020

Oleg Lazarov

100 languages, artificial intelligence, autonomous translation, Back-Translation, BLEU metric, ccAligned, ccMatrix, data mining, deep learning, Facebook AI, Facebook News Feed, Fairscale, global translation, Language Models, LASER 2.0, M2M-100, machine learning, multilingual embedding, multilingual machine translation, neural interfaces, neural networks, neural translation, no English reliance, open-source, PyTorch, scalability, Translation Accuracy, translation technology

MENLO PARK — Facebook AI has announced the launch of M2M-100, the first multilingual machine translation (MMT) model capable of translating between any pair of 100 languages without using English as a bridge language. This groundbreaking development represents a major step forward in machine translation technology and is now available as open-source for the research…
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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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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

Tag: deep learning

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

individualsJensen Huang: Visionary Leader Powering the GPU and AI Revolution

newsTU Dresden’s Clinical AI Research Group Leverages Llama Models to Revolutionize Cancer Care and Healthcare Innovation

newsNVIDIA Expands AI Training with Two New Professional Certifications for Infrastructure and Operations Practitioners

communitiesA LinkedIn Hub for Deep Learning, Big Data, and Emerging Tech Enthusiasts: Connect, Learn, and Grow with Industry Leaders

newsRobovision 5.7 Revolutionizes Semiconductor Manufacturing with AI-Powered Defect Detection

newsMeta Launches Digital Twin Catalog: Revolutionizing 3D Object Creation for E-Commerce and Immersive Experiences

newsThe Dawn of the Intelligence Age: Sam Altman on AI’s Transformative Future

datasetsSNLI: A Benchmark Dataset Fueling Advances in Natural Language Inference (NLI)

newsOpenAI Announces Leadership Transition: Jakub Pachocki Steps In as Chief Scientist Following Ilya Sutskever’s Departure

newsEviden Unveils BullSequana AI: A Groundbreaking End-to-End AI Solution

newsBechtle and Planet AI Forge Path to AI Innovation Hub in Rostock

newsESET and DeepMind Spearhead Eastern European Summer School of Machine Learning: Fostering AI Knowledge Exchange

newsOpenAI Launches Residency Program to Foster AI Talent

newsAirbus and Neural Concept Renew Collaboration to Enhance Aircraft Design Using Deep Learning

newsFacebook AI Reengineers Deep Learning Platforms for Greater Flexibility and Collaboration

newsFacebook AI Introduces First Ever Translation Model That Bypasses English for 100 Language Pairs

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

What is RadicalShift AI?

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