Science – AI.RadicalShift

researchRevealing the Mind of a Language Model: Pythia and the Transparent Science of LLMs

Americas, Artificial Intelligence, Generative AI, Internet & Online, Language model training, LLMs (Large Language Models), Machine learning, Natural language processing (NLP), Reinforcement learning, Retrieval-augmented generation (RAG), Science, SLMs (Small Language Models)

May 2, 2025

Oleg Lazarov

300 billion tokens, AI Ethics, AI Fairness, Apache-2.0, autoregressive transformer models, bias, bias mitigation, BigScience BLOOM, BigScience’s BLOOM, BLOOM, data deduplication, debugging, dynamics of training, EleutherAI, ethics, GitHub, GPT-3, GPT-4, GPT-J, GPT-Neo, HELM, HELM benchmark, Holistic Evaluation of Language Models, Hugging Face, interpretability, K2, layered transparency, LLM360’s Amber, LLMs, memorization, Meta’s OPT, MinHash-LSH, ML researcher, NLP Benchmarking, OLMo, Open Language Model, Open LLM Leaderboard, OpenAI, PaLM, Poisson Point Process, PolyPythias, public text corpus, Pythia, researchers, scaling laws, Stanford, Stanford CRFM, Stella Biderman, term frequency effects, The Pile, the ROOTS corpus, training data order, transparency in training, trustworthy AI

Large language models (LLMs) have achieved remarkable capabilities in recent years, but how they learn and evolve during training remains something of a mystery. In response, EleutherAI’s Pythia project takes an unprecedented approach: instead of releasing just one big model, Pythia provides an entire suite of 16 language models (ranging from 70 million to 12…
Continue Reading
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,…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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,…
Continue Reading
supercomputersEl Capitan: The World’s Fastest Supercomputer: 2.746 quintillion operations per second

Americas, Defence, Energy, Gas & Oil, Government, Science, Security & Safety, Supercomputer

February 13, 2025

Oleg Lazarov

2.746 exaFLOPS, AMD, AMD CDNA3 GPUs, AMD EPYC CPUs, AMD MI300A, Aurora, computational science, CORAL-2 program, direct liquid-cooled supercomputer, El Capitan, exaFLOPS, exascale system, Frontier, Fugaku, Hewlett Packard Enterprise, high-energy physics, HPE, HPE Cray Shasta, Lawrence Livermore National Laboratory, Livermore Computing Complex, material science, national security research, nuclear research, one quintillion operations per second, Sierra supercomputer, supercomputer, TOSS, U.S. Department of Energy, world’s fastest supercomputer

El Capitan, the latest leap in supercomputing, is currently the world’s fastest supercomputer, outpacing all other systems with a total peak theoretical performance of 2.746 exaFLOPS (2.746 exaFLOPS equals 2.746 quintillion operations per second / 2.746 exaFLOPS=2.746×1018 operations per second or 2,746,000,000,000,000,000 operations per second), according to Live Science and other sources online. Located at Lawrence…
Continue Reading
newsBioptimus Secures $76M to Unlock the Future of AI-Driven Biology

AI accelerators, AI models, Algorithms, Artificial Intelligence, Cybersecurity, Data, Europe, Generative pre-trained transformers (GPT), Graphics Processing Unit (GPU), Pharma & Biotech, Science

February 7, 2025

Sheryl Rivera

$76M funding, AI foundation model, AI in healthcare, AI model development, AI-powered biology, biological data integration, biology AI, Bioptimus, biotech industry, biotech innovation, biotechnology, Cathay Innovation, future of biology research, gene expression, H-Optimus-0, Jacky Abitbol, Jean-Philippe Vert, medical research, multi-scale AI model, ovarian cancer, pathology, pharmaceutical industry, Sofinnova Partners

PARIS — Bioptimus, a trailblazer in AI foundation models for biology, has successfully raised $76 million in funding, marking a significant milestone for the company. This total includes a $41 million investment led by Cathay Innovation, with participation from prominent investors such as Sofinnova Partners, Bpifrance, Andera Partners, Hitachi Ventures, Boom Capital Ventures, Sunrise, and…
Continue Reading
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…
Continue Reading
newsBenevolentAI Announces Strategic Realignment to Refocus on Core Mission and Long-Term Growth

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Investment, Management, Pharma & Biotech, Science

December 12, 2024

Oleg Lazarov

AI solutions, AI-powered drug discovery, AstraZeneca collaboration, balance sheet risk, BenevolentAI, biopharma innovation, biopharmaceutical development, clinical-stage programs, commercial partnerships, Cost reduction, cost savings, drug development lifecycle, entrepreneurial leadership, Euronext Amsterdam delisting, FDA-approved drug, financial runway 2027, IND readiness, industry adoption, Kenneth Mulvany, modular AI products, operational efficiency, operational flexibility, patient outcomes, Peter Allen, Phase 2 readiness, pre-IND assets, shareholder engagement, strategic transformation, streamlined operations, sustainable growth, TechBio mission, Technology Integration, UK Collective Consultation for Redundancy Rules, workforce reshaping

LONDON — BenevolentAI, a leader in AI-powered biopharmaceutical innovation, has announced a significant strategic transformation to realign the company with its foundational TechBio mission. This overhaul prioritizes core technology strengths, streamlines operations, and ensures sustainable growth through a more focused business model. Key changes include substantial cost reductions, an evaluation of delisting from Euronext Amsterdam,…
Continue Reading
newsNVIDIA Unveils Open-Source BioNeMo Framework to Transform Drug Discovery and Biomolecular Research

AI assistants, AI models, Americas, Artificial Intelligence, Cloud, Datasets, Healthcare, Pharma & Biotech, Science, Semiconductors

November 19, 2024

Oleg Lazarov

AI research, AI tools, AlphaFold2, Argonne National Laboratory, biomolecular science, BioNeMo Blueprints, BioNeMo Framework, BioNeMo platform, biotechnology, cuEquivariance, DiffDock 2.0, digital biology, Drug Discovery, Dyno Therapeutics, Genentech, Ginkgo Bioworks, Kimberly Powell, molecular design, molecular modeling, NVIDIA, NVIDIA NIM™, open-source platform, pharmaceutical industry, ProteinMPNN, RFdiffusion, SC24, scalable AI deployments, supercomputing capabilities, virtual screening, Weights & Biases

SANTA CLARA — At SC24, NVIDIA announced the launch of its open-source BioNeMo Framework, a cutting-edge platform enabling global leaders in pharmaceuticals, biotechnology, and AI research to advance biomolecular science and accelerate drug discovery. Designed to address the challenges of scaling AI models in biomolecular research, BioNeMo brings supercomputing capabilities to biopharma, empowering researchers with…
Continue Reading
newsOpenAI Expands to Paris, Strengthening Collaboration with France’s Thriving AI Ecosystem

AI assistants, AI models, Americas, Analytics, Artificial Intelligence, Europe, Generative AI, Responsible AI, Science

November 16, 2024

Sheryl Rivera

AI, AI Ecosystem, AI technology, AI-powered tools, Ask Mona, Clara Chappaz, clinical trials, digital skills training, ESCP Business School, EU AI Pact, Formation Bio, France, France’s AI ecosystem, Frédéric Bardeau, generative AI, global AI innovation, Mirakl, Muse, nonprofit sectors, OpenAI, OpenAI Academy, Paris, personalized learning, responsible AI, Roxanne Varza, Sam Altman, Sanofi, Simplon, startup campus, STATION F

SAN FRANCISCO — In a significant move to expand its global footprint, OpenAI has officially opened its first office in continental Europe, located in Paris. The new office is set to foster closer collaboration with France’s innovative AI landscape, marking an exciting chapter in OpenAI’s international growth. “France is a global hub for innovation, particularly…
Continue Reading
newsJapanese Enterprises Propel AI Transformation with New Innovation Centers Powered by NVIDIA Technology

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Asia, Automation, Digital twins, Generative AI, Industrial, LLMs (Large Language Models), Robotics, Science

November 12, 2024

Sheryl Rivera

Accenture, Accenture NVIDIA Business Group, aging population, AI Experience Center, AI market, AI private cloud, AI Refinery, AI transformation, AI-friendly nation, Dell AI Factory, Dell Technologies, Deloitte, Deloitte Japan NVIDIA Practice, demographic challenges, digital AI, Digital Twins, digital workforce, EY Japan, EY Japan DX, FPT, FPT AI Factory, generative AI, IDC reports, industrial AI, innovation centers, Japanese enterprises, Kyndryl, large language model, local language models, Manufacturing, multi-language LLM, NVIDIA AI Enterprise, NVIDIA AI platform, NVIDIA Hopper GPUs, NVIDIA NeMo™, NVIDIA NIM Microservices, NVIDIA Omniverse platform, Omniverse, productivity, robotics, Saola, TCS Japan

SANTA CLARA — Japanese enterprises are embracing AI transformation through a series of innovative centers and services, utilizing NVIDIA AI Enterprise and Omniverse platforms to drive advancements in industrial and digital AI. Leading consulting firms—Accenture, Deloitte, EY Japan, FPT, Kyndryl, and TCS Japan—are joining forces with NVIDIA to establish cutting-edge innovation centers across Japan, aiming…
Continue Reading
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…
Continue Reading
newsELLIS and CIFAR Strengthen Global AI Research Collaboration with New PhD Program Expansion

AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Education, Europe, Industrial, Machine learning, Robotics, Science

November 7, 2024

Sheryl Rivera

Academic track, AI innovation, AI leaders, AI research, AI theory, AI training, Bernhard Schölkopf, Canada AI Chairs, Canadian Institute for Advanced Research, CIFAR, CIFAR Fellows, cross-continental collaboration, ELLIS, ELLIS network, ELLIS PhD and Postdoctoral program, environmental sciences, Europe, European Laboratory for Learning and Intelligent Systems, global AI research, global ecosystem, health applications, Industry track, Interdisciplinary track, Learning in Machines & Brains (LMB) Review & Program Meeting, mentorship, North America, PhD program, Postdoctoral program, research excellence, research experience, robotics, top talent, young scientists

TORONTO — The European Laboratory for Learning and Intelligent Systems (ELLIS) and the Canadian Institute for Advanced Research (CIFAR) have announced an expansion of their collaboration aimed at advancing global AI research and training. The partnership will enhance the ELLIS PhD and Postdoctoral Program for Learning and Intelligent Systems by providing students with opportunities to…
Continue Reading
newsELLIS to Launch Second Institute in Finland, Strengthening Europe’s AI Ecosystem

AI models, Algorithms, Analytics, Artificial Intelligence, Europe, Government, Industrial, Machine learning, Science, Supercomputer

October 29, 2024

Sheryl Rivera

Aalto University, AI, AI breakthroughs, AI Ecosystem, AI landscape, AI research, Bernhard Schölkopf, ELLIS, ELLIS Institute Finland, ELLIS network, ELLIS professorships, ELLIS Unit Helsinki, European AI community, European Laboratory for Learning and Intelligent Systems, European leadership in AI, European values, FCAI, Finland, Finland AI ecosystem, Finnish Center for Artificial Intelligence, Finnish Ministry of Education and Culture, LUMI supercomputer, machine learning, Peter Sarlin, Samuel Kaski, Silo AI, talent pool, technological resilience

HELSINKI — The European Laboratory for Learning and Intelligent Systems (ELLIS) has announced the upcoming launch of its second institute, ELLIS Institute Finland, marking a significant milestone in its mission to bolster Europe’s leadership in artificial intelligence (AI). The new institute will focus on driving advancements in AI and machine learning, leveraging Finland’s robust AI…
Continue Reading
newsGoogle DeepMind’s Demis Hassabis and John Jumper Win Nobel Prize in Chemistry for AlphaFold Breakthrough

AI assistants, Analytics, Artificial Intelligence, Chemicals, Europe, Healthcare, Machine learning, Pharma & Biotech, Science

October 9, 2024

Sheryl Rivera

2024 Nobel Prize, AI, AlphaFold, AlphaFold Protein Structure Database, artificial intelligence, computational protein design, David Baker, DeepMind, Demis Hassabis, Drug Discovery, enzyme design, Google, Google DeepMind, groundbreaking discoveries, Isomorphic Labs, John Jumper, Nobel Prize in Chemistry, protein structure prediction, Royal Swedish Academy of Sciences, scientific research

LONDON — Demis Hassabis, Co-founder and CEO of Google DeepMind and Isomorphic Labs, and Dr. John Jumper, Director at Google DeepMind, have been jointly awarded the 2024 Nobel Prize in Chemistry for their pioneering work on AlphaFold, an AI system capable of accurately predicting the three-dimensional structure of proteins from their amino acid sequences. They…
Continue Reading
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…
Continue Reading
newsOpenAI Launches Groundbreaking Series of Reasoning Models for Complex Problem Solving

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Economy, Generative AI, Healthcare, LLMs (Large Language Models), Machine learning, Science

September 13, 2024

Oleg Lazarov

AI, AI reasoning, AI technology advancements, API, API usage, Browsing, ChatGPT, ChatGPT Plus, code debugging, coding, cost-effective, developers, educational users, Enterprise users, file uploading, generative AI, healthcare research, International Mathematics Olympiad (IMO), mathematics, model safety, o1 models, o1-mini, o1-preview, OpenAI, OpenAI o1 series, OpenAI Safety, problem-solving, quantum optics, reasoning models, safety guidelines, Science, Software Development, Team users, U.K. AI Safety Institute, U.S. AI Safety Institute

SAN FRANCISCO — In a major step forward for AI development, OpenAI has introduced a new series of models designed to tackle more challenging tasks, such as those found in science, mathematics, and coding. These models, which emphasize more thoughtful processing before responding, are now available in ChatGPT and through the API. The models, known…
Continue Reading
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…
Continue Reading
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…
Continue Reading

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: Science

researchRevealing the Mind of a Language Model: Pythia and the Transparent Science of LLMs

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

supercomputersEl Capitan: The World’s Fastest Supercomputer: 2.746 quintillion operations per second

newsBioptimus Secures $76M to Unlock the Future of AI-Driven Biology

newsOutstanding Machine Learning Researchers Honored with ELLIS PhD Award

newsBenevolentAI Announces Strategic Realignment to Refocus on Core Mission and Long-Term Growth

newsNVIDIA Unveils Open-Source BioNeMo Framework to Transform Drug Discovery and Biomolecular Research

newsOpenAI Expands to Paris, Strengthening Collaboration with France’s Thriving AI Ecosystem

newsJapanese Enterprises Propel AI Transformation with New Innovation Centers Powered by NVIDIA Technology

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

newsELLIS and CIFAR Strengthen Global AI Research Collaboration with New PhD Program Expansion

newsELLIS to Launch Second Institute in Finland, Strengthening Europe’s AI Ecosystem

newsGoogle DeepMind’s Demis Hassabis and John Jumper Win Nobel Prize in Chemistry for AlphaFold Breakthrough

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

newsOpenAI Launches Groundbreaking Series of Reasoning Models for Complex Problem Solving

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

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

What is RadicalShift AI?

Latest Entries

🏭 INDUSTRIES / MARKETS:

🏷️ TAGS

📂 ARCHIVE