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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newsA deeper look into the CoreWeave’s Acquisition of Weights & Biases

AI Inference, AI models, Americas, Artificial Intelligence, Cloud, Datasets, Deep learning, Internet & Online, Investment, LLMs (Large Language Models), Machine learning, Open Source LLMs

March 18, 2025

Oleg Lazarov

acquisition, AI cloud infrastructure, AI developer platform, AI Hyperscaler, CoreWeave, GPU computing, Hugging Face, interoperability, IPO, LLMOps, Lukas Biewald, Maginative, Meta, Michael Intrator, MLOps, NVIDIA, OpenAI, PitchBook, SiliconANGLE, TechCrunch, Toyota, Weights & Biases

Key Points CoreWeave, an AI hyperscaler, has acquired Weights & Biases, an AI developer platform, in a deal valued at about $1.7 billion, expected to close by mid-2025. The acquisition aims to combine their strengths to enhance AI development, maintaining W&B’s interoperability with multiple cloud providers. Media reactions are mostly positive, seeing it as a…
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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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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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newsNVIDIA Empowers Japan’s Industrial Giants with AI and Digital Twin Technology for Next-Gen Automation

AI assistants, AI models, Artificial Intelligence, Automation, Data centers, Deep learning, Digital twins, Generative AI, Industrial, Robotics

November 12, 2024

Oleg Lazarov

SANTA CLARA — Toyota, Yaskawa, Seven & i Holdings, and Rikei Corporation are embracing NVIDIA-powered digital twins and industrial AI to accelerate Japan’s next wave of digital transformation across sectors. Toyota is enhancing its metal forging operations by simulating robotics with NVIDIA Omniverse, which enables detailed physics-based modeling to streamline robot training and operational efficiency.…
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newsNVIDIA Powers Japan’s Healthcare Innovation with AI-Driven Advances in Drug Discovery, Genomics, and Medical Imaging

AI assistants, AI models, Americas, Artificial Intelligence, Asia, Data centers, Deep learning, Generative AI, Healthcare, LLMs (Large Language Models), Pharma & Biotech, Robotics, Supercomputer

November 12, 2024

Sheryl Rivera

aging population, AI, Astellas Pharma, CT imaging, Daiichi-Sankyo, DGX supercomputer, digital health, Drug Discovery, Fujifilm, genome sequencing, genomics, H100 Tensor Core GPUs, healthcare innovation, healthcare robotics, Holoscan, IOWN network, Japan, Jetson Orin modules, medical imaging, medical technology, Mitsui & Co, MONAI, NTT, NURA, NVIDIA, NVIDIA AI Summit Japan, NVIDIA BioNeMo, Olympus, Ono Pharmaceutical, Parabricks, precision medicine, Showa University, sovereign AI, surgical microscopy, Tokyo-1, University of Tokyo Human Genome Center, Xeureka

SANTA CLARA — Japan’s healthcare sector is embracing sovereign AI solutions to advance drug discovery, genomics, and medical device development, as healthcare providers and researchers innovate to meet the needs of an aging population. Nearly 30% of Japan’s citizens are over 65, and AI-driven healthcare is seen as vital to addressing an anticipated shortfall of…
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benchmarksCracking the Code of Math Reasoning: How GSM8K (Grade School Math 8K) Shapes AI’s Path to True Problem-Solving

AI models, Americas, Artificial Intelligence, Datasets, Deep learning, Education, Generative AI, Internet & Online, LLMs (Large Language Models), Machine learning, Responsible AI, Science, SLMs (Small Language Models)

November 11, 2024

RadicalShift.AI

AI Benchmarks, AI in education, AI Mathematical Reasoning, Arithmetic Reasoning, Chain-of-Thought Prompting, Few-Shot Learning, GPT-3, Grade School Math 8K, GSM8K, GSM8K Benchmark, Language Models, Llama, Logical Sequencing in AI, Math Reasoning, Model Evaluation, Multi-Step Problem Solving, NLP Datasets, PaLM

The GSM8K Benchmark, or “Grade School Math 8K,” is a specialized dataset of 8,500 mathematically grounded word problems designed to evaluate and enhance the arithmetic reasoning capabilities of language models, particularly in multi-step problem-solving. Developed as a part of research efforts in advancing machine learning models’ ability to handle nuanced language and reasoning tasks, GSM8K…
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newsJacob Collier Partners with Google Labs to Shape MusicFX DJ, an AI-Powered Music Creation Tool

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Entertainment, Generative AI, Internet & Online

October 23, 2024

Sheryl Rivera

AI-driven jam session, AI-powered, artistic innovation, continuous stream of music, creative control, creative flow, generative music tool, Google DeepMind, Google Labs, Grammy winner, intuitive interface, Jacob Collier, Lab Session, labs.google, multi-instrumentalist, musical expression, MusicFX DJ, musicians, remix, seamless musical experiences

MOUNTAIN VIEW — In the latest Lab Session, Google Labs has teamed up with Jacob Collier, the renowned multi-instrumentalist and six-time Grammy winner, to refine and expand MusicFX DJ—a generative music tool that allows users to create seamless musical experiences. This innovative collaboration, developed alongside Google DeepMind, aims to make musical expression more intuitive and…
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newsMeta Expands AI Capabilities with Llama 3.2, Reinforces Commitment to Responsible Innovation

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

September 25, 2024

Oleg Lazarov

AI, AI innovation, AI safety standards, AI-powered image, Connect 2024, developer tools, image moderation, image reasoning, Llama 3.2, Llama Guard Vision, Llama models, Meta, MLCommons, mobile devices, open-source AI, red-teaming, risk assessments, text moderation, vision capabilities, voice features

MENLO PARK — At the Connect 2024 event, Meta unveiled significant updates to its AI offerings, including the launch of Llama 3.2, a collection of advanced AI models with enhanced vision capabilities and compact versions optimized for mobile devices. Alongside these innovations, Meta highlighted its commitment to safety, emphasizing its approach to responsibly developing and…
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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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newsGlobal AI Leaders Join Forces to Invest $100 Billion in Data Centers and Energy Infrastructure

Algorithms, Americas, Analytics, Artificial Intelligence, Asia, Deep learning, Energy, Gas & Oil, Europe, Industrial, Infrastructure & Utilities, Internet & Online, Investment, Machine learning

September 17, 2024

RadicalShift.AI

$100 billion investment, Abu Dhabi, AI ecosystems, AI factories, AI infrastructure, AI investment, AI supply chains, artificial intelligence, BlackRock, Data Centers, decarbonization, digital infrastructure, energy infrastructure, GAIIP, Global Infrastructure Partners, Larry Fink, MGX, Microsoft, NVIDIA, private capital, Satya Nadella, Sheikh Tahnoon bin Zayed Al Nahyan, sustainable energy, technology innovation, U.S. economic growth

NEW YORK, REDMOND, WA, AND ABU DHABI — In a major move to drive AI innovation and support economic growth, BlackRock, Global Infrastructure Partners (GIP), Microsoft, and MGX have announced the formation of the Global AI Infrastructure Investment Partnership (GAIIP). This partnership aims to make significant investments in the development and expansion of data centers,…
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newsGoogle DeepMind Unveils AlphaProteo: AI-Driven Protein Design System for Advancing Health and Biological Research

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Europe, Healthcare, Machine learning, Pharma & Biotech, Science

September 5, 2024

Sheryl Rivera

AI, AlphaFold, AlphaProteo, binding affinity, bioengineering, biological processes, biological research, biosecurity, diagnostics, disease mitigation, drug design, Francis Crick Institute, Google DeepMind, health research, IL-7Rɑ, PD-L1, protein binders, Protein Data Bank, protein design, Protein Design team, SARS-CoV-2, sustainable manufacturing, TNFɑ, VEGF-A, Wet Lab team

LONDON — Google DeepMind recently announced AlphaProteo, a pioneering AI-driven system designed to generate novel protein binders with applications in biology and health research. Created by DeepMind’s Protein Design and Wet Lab teams, AlphaProteo stands out as the first AI tool capable of designing effective protein binders for targets like VEGF-A, a protein linked to…
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newsOpenAI Strengthens Leadership with the Appointment of AI Safety Expert Zico Kolter to Board of Directors

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

August 9, 2024

Sheryl Rivera

Adam D’Angelo, AI alignment, AI development, AI Models, AI safety, board of directors, Bosch, Bret Taylor, C3.ai, Carnegie Mellon University, deep network architectures, general artificial intelligence, Governance, Gray Swan, leadership, machine learning, MIT, Nicole Seligman, OpenAI, Paul Nakasone, Ph.D., robustness, safety and security, Safety and Security Committee, Sam Altman, Stanford University, Zico Kolter

SAN FRANCISCO — OpenAI has strengthened its governance and commitment to AI safety by appointing Zico Kolter to its Board of Directors. Zico Kolter, a prominent figure in machine learning and the Director of the Machine Learning Department at Carnegie Mellon University, brings extensive expertise in AI safety, alignment, and robustness, making him a valuable…
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newsEmpowering Africa’s Next AI Leaders: Google DeepMind and AIMS Foster Innovation in Food Security, Healthcare, and Space Exploration

AI assistants, AI models, Algorithms, Analytics, Artificial Intelligence, Deep learning, Education, Environment, Europe, Food & Beverage, Healthcare, Machine learning, Science, Society

August 5, 2024

Sheryl Rivera

Africa, African Institute for Mathematical Sciences, AI Ecosystem, AI education, AI for Science, AI in Africa, AI research, AIMS, biodiversity, climate change, cosmology, Deep Learning Indaba, dengue fever, Experience AI program, food security, Google DeepMind, Healthcare, interdisciplinary learning, machine learning, postgraduate scholarships, public health, scholarships, SKA, space exploration, Square Kilometre Array, sustainability, sustainable agriculture

LONDON — Google DeepMind has announced a landmark initiative supporting a new generation of AI pioneers through its collaboration with the African Institute for Mathematical Sciences (AIMS). This pan-African Master’s program, launched last year with a $4.5 million grant from Google DeepMind, aims to broaden access to advanced AI and science education across Africa. Through…
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newsGoogle DeepMind’s AlphaProof and AlphaGeometry 2 Achieve Silver-Level Milestone in Advanced Mathematical Problem Solving

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Deep learning, Education, Europe, Machine learning, Science

July 25, 2024

Oleg Lazarov

AGI, AI system, AI-driven tools, algebra, AlphaGeometry 2, AlphaProof, AlphaZero, artificial intelligence, automation, combinatorics, Dr Joseph Myers, Fields Medal, formal proofs, Gemini system, geometry, Google DeepMind, IMO, International Mathematical Olympiad, Lean language, mathematical challenges, mathematical problem-solving, mathematical reasoning, natural language reasoning, neuro-symbolic hybrid, number theory, Prof Sir Timothy Gowers, proof verification, self-learning, synthetic data

LONDON — In a remarkable stride for artificial intelligence, Google DeepMind, led by cutting-edge developments from its team, has introduced AlphaProof and AlphaGeometry 2, two advanced models aimed at tackling some of the most challenging reasoning problems in mathematics. With aspirations toward artificial general intelligence (AGI), these models have demonstrated exceptional capabilities, rivaling the skills…
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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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newsGoogle DeepMind Unveils Gemini 1.5 Flash and Project Astra, Paving the Way for Next-Gen AI Assistants

AI assistants, Americas, Analytics, Artificial Intelligence, Deep learning, Edge computing, Europe, Internet & Online, Machine learning, Responsible AI

May 14, 2024

Sheryl Rivera

1.5 Flash, AI assistant, AI solutions, contextual response, conversational AI, event timeline, expert assistant, Gemini, Gemini app, Gemini family, Google DeepMind, Google platforms, information caching, innovation, natural intonations, Project Astra, real-time processing, smart devices, speech integration, speech modeling, video encoding

LONDON — Google DeepMind has announced a significant advancement within its Gemini model lineup, unveiling the streamlined 1.5 Flash model designed for enhanced speed and efficiency, alongside Project Astra, which envisions the next evolution in AI assistants. At the core of Project Astra is a two-part demo that demonstrates its real-time processing and adaptability, showcasing…
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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: Deep learning

newsA deeper look into the CoreWeave’s Acquisition of Weights & Biases

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

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

newsNVIDIA Empowers Japan’s Industrial Giants with AI and Digital Twin Technology for Next-Gen Automation

newsNVIDIA Powers Japan’s Healthcare Innovation with AI-Driven Advances in Drug Discovery, Genomics, and Medical Imaging

benchmarksCracking the Code of Math Reasoning: How GSM8K (Grade School Math 8K) Shapes AI’s Path to True Problem-Solving

newsJacob Collier Partners with Google Labs to Shape MusicFX DJ, an AI-Powered Music Creation Tool

newsMeta Expands AI Capabilities with Llama 3.2, Reinforces Commitment to Responsible Innovation

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

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

newsGlobal AI Leaders Join Forces to Invest $100 Billion in Data Centers and Energy Infrastructure

newsGoogle DeepMind Unveils AlphaProteo: AI-Driven Protein Design System for Advancing Health and Biological Research

newsOpenAI Strengthens Leadership with the Appointment of AI Safety Expert Zico Kolter to Board of Directors

newsEmpowering Africa’s Next AI Leaders: Google DeepMind and AIMS Foster Innovation in Food Security, Healthcare, and Space Exploration

newsGoogle DeepMind’s AlphaProof and AlphaGeometry 2 Achieve Silver-Level Milestone in Advanced Mathematical Problem Solving

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

newsGoogle DeepMind Unveils Gemini 1.5 Flash and Project Astra, Paving the Way for Next-Gen AI Assistants

What is RadicalShift AI?

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