Datasets – AI.RadicalShift

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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newsDatabricks and SAP Launch SAP Databricks to Revolutionize Enterprise Data Management and AI Development

Americas, Analytics, Artificial Intelligence, Cloud, Data, Datasets, Generative AI, Industrial

February 13, 2025

Sheryl Rivera

Accenture, AI development, AI-driven applications, AWS, Azure, Business Data Cloud, business transformation, Capgemini, data engineering, data governance, Data Intelligence Platform, Data Science, data warehousing, Databricks, Deloitte, Delta Sharing, digital innovation, enterprise data, ERP integration, EY, Google Cloud, Mosaic AI, SAP, SAP Business Data Cloud, SAP data, SAP Databricks, SQL analytics, Unity Catalog

SAN FRANCISCO — Databricks and SAP have unveiled a strategic collaboration with the launch of SAP Databricks, a new product that integrates the Databricks Data Intelligence Platform into SAP’s newly launched Business Data Cloud. This integration provides customers with the ability to seamlessly combine SAP’s business-critical data with the capabilities of Databricks, offering a unified…
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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…
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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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newsRevolutionizing Humanoid Robotics: NVIDIA Unveils New Tools and Workflows to Accelerate AI Development

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Datasets, Generative AI, Industrial, Robotics

November 6, 2024

Oleg Lazarov

1X, 3D environments, Agility Robotics, AI Models, AI-powered robots, Boston Dynamics, Conference for Robot Learning (CoRL), dexterous manipulation, generative AI, Hugging Face, humanoid robot control, humanoid robot workflows, humanoids, Isaac, Isaac Gym, Isaac Lab, Isaac Lab migration guide, Jetson, LeRobot, locomotion, long-term planning, multimodal perception, NeMo Curator, NVIDIA, NVIDIA Cosmos tokenizer, NVIDIA Humanoid Robot Developer Program, NVIDIA Jetson, NVIDIA NeMo™, NVIDIA OpenUSD, NVIDIA technical blog, Omniverse, Omniverse platform., Project GR00T, robot control, robot dexterity, robot learning framework, robot manipulation, robot mobility, robot motion, robot navigation, robotic research, Simulation and Design, synthetic data generation, Unitree Robotics, video data curation, video data processing, vision-language models, whole-body control, world models

SANTA CLARA — At the Conference for Robot Learning (CoRL) in Munich, Germany, NVIDIA introduced a suite of cutting-edge tools and workflows designed to revolutionize AI-driven robotics. These innovations aim to enhance robot dexterity, control, manipulation, and mobility, ultimately accelerating the development of AI-powered robots, including humanoids. The announcement featured several key advancements: the public…
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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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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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newsRefik Anadol Partners with Meta’s Llama to Create Groundbreaking ‘Large Nature Model’

AI assistants, Algorithms, Americas, Analytics, Art & Culture, Artificial Intelligence, Datasets, Internet & Online, Machine intelligence, Media, Open Source LLMs

September 13, 2024

Sheryl Rivera

aesthetics of data, Andrew Bosworth, artificial intelligence, creativity, datasets, demystifying AI, human reasoning, Large Nature Model, Llama, machine intelligence, media artist, Meta, National Geographic, neural network, open-source, PyTorch, rainforest-focused dataset, Refik Anadol, Smithsonian

MENLO PARK — In a recent episode of the podcast Boz To The Future, Meta’s CTO and Head of Reality Labs, Andrew “Boz” Bosworth, engaged in a compelling conversation with celebrated media artist Refik Anadol. Known for his groundbreaking work at the crossroads of data aesthetics and machine intelligence, Anadol employs vast datasets as a…
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newsMeta Launches SAM 2: Revolutionizing Object Segmentation in Images and Videos with Advanced AI Capabilities

Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Internet & Online, Machine learning, Media, Open Source LLMs

July 29, 2024

Oleg Lazarov

AI, AI community, Amazon SageMaker, annotation, Apache 2.0 license, computer vision, dataset, generative video model, images, Llama, machine learning, Mark Zuckerberg, Meta, metadata, multimodal understanding, object segmentation, open science, open-source, real-time processing, real-world applications, SA-V dataset, SAM 2, video segmentation, videos, zero-shot generalization

MENLO PARK — In a significant leap forward for computer vision technology, Meta has introduced SAM 2, the next iteration of its acclaimed Segment Anything Model (SAM). This cutting-edge model now empowers real-time, promptable object segmentation in both images and videos, achieving state-of-the-art performance that sets a new standard for the industry. Continuing Meta’s commitment…
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newsGeorgia Tech and Meta Collaborate on Groundbreaking Dataset to Drive Innovation in Direct Air Capture Technology

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Environment, Machine learning, Open Source LLMs

May 2, 2024

Sheryl Rivera

ACS Central Science, AI, Andrew J. Medford, Anuroop Sriram, Carbon Capture, carbon dioxide removal, carbon emissions, climate change, collaboration, dataset, David Sholl, direct air capture, energy, environmental impact, FAIR, Fundamental AI Research, Georgia Tech, innovation, machine learning, materials chemistry, Matt Uyttendaele, Meta, MOFs, negative-emission technologies, open-source, OpenDAC, quantum mechanics, scientific research, sorbent discovery, sustainability

This post was originally published on the Georgia Tech Blog. MENLO PARK — In an ambitious effort to combat climate change, Georgia Tech and Meta have joined forces to develop a massive open-source dataset designed to advance AI-driven solutions for carbon capture. This initiative, dubbed OpenDAC, aims to accelerate the development of direct air capture (DAC)…
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newsEPFL, Yale School of Medicine, Meta, and ICRC Collaborate to Launch Meditron: AI Suite for Low-Resource Medical Settings

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Healthcare, LLMs (Large Language Models), Machine learning, Open Source LLMs

April 25, 2024

Sheryl Rivera

AI, clinical decision-making, EPFL, evidence-based care, global collaboration, Healthcare, humanitarian response, ICRC, Llama 2, Llama 3, low-resource medical settings, machine learning, Mary-Anne Hartley, medical benchmarks, medical data, Medical Innovation, Meditron, MedMCQA, MedQA, Megatron-LM, Meta, open validation, open-source, Yale School of Medicine

MENLO PARK — In the world of healthcare, having timely and accurate information can be a matter of life and death. Recognizing this need, Meditron, a suite of open-source large multimodal foundation models designed to aid in clinical decision-making and diagnosis, has been developed. Built on Meta’s Llama 2 platform and continually refined with input…
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newsMeta Unveils Llama 3: Next-Generation Open-Source AI Model with Unmatched Performance

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Internet & Online, LLMs (Large Language Models), Machine learning, Open Source LLMs

April 18, 2024

Sheryl Rivera

AI, AMD, AWS, Code Shield, coding, CyberSec Eval 2, Databricks, Dell, Google Cloud, Group Query Attention, Hugging Face, Intel, large language model, Llama 3, Llama Guard 2, Meta, Meta AI, Microsoft Azure, multimodal, NVIDIA, open ecosystem, open-source, parameters, Qualcomm, Responsible Use Guide, tokenizer

MENLO PARK — Meta is proud to introduce Llama 3, the latest and most powerful generation of its large language model (LLM) suite. Available starting today, Llama 3 sets a new standard in open-source AI with two models featuring 8 billion and 70 billion parameters. These models promise enhanced performance across a wide array of…
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newsMeta Unveils DINOv2 and FACET: Advancing Computer Vision with Open Source and Fairness Evaluation

AI assistants, AI models, Americas, Analytics, Artificial Intelligence, Datasets, Internet & Online, Open Source LLMs, Responsible AI

August 31, 2023

Oleg Lazarov

age group, AI innovation, Apache 2.0 license, benchmarking, bias mitigation, classification, collaboration, computer vision, computer vision community, demographic attributes, depth estimation, detection, DINOv2, FACET, fairness evaluation, fairness in AI, gender presentation, Meta, Meta AI, open source research, performance disparities, person-related classification, responsible AI, segmentation, self-supervised learning, semantic image segmentation, skin tone, state-of-the-art models

MENLO PARK — Meta is advancing its efforts in computer vision technology, releasing new models and tools while ensuring fairness and transparency in AI development. Their latest development, DINOv2, a self-supervised learning-based model for computer vision, is now available under the Apache 2.0 license. This release includes models for semantic image segmentation and depth estimation, expanding…
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newsMeta AI Launches DINOv2, a Breakthrough in Self-Supervised Learning for Versatile Computer Vision Applications

Americas, Analytics, Artificial Intelligence, Computer vision, Datasets, Internet & Online, Machine learning, Media

April 17, 2023

Sheryl Rivera

AI development, classification, computer vision, computer vision research, depth estimation, DINOv2, forest mapping, generalization, high performance, image analysis, labeled datasets, Meta AI, pretrained models, raw images, real-world application, scalability, scalable architecture, segmentation, self-supervised learning, text-image annotations, visual AI, visual embeddings, World Resources Institute

MENLO PARK — Meta AI has unveiled DINOv2, a next-generation self-supervised model designed to advance computer vision capabilities across various tasks without requiring labeled data. Unlike previous models that rely on text-image annotations, DINOv2 excels by learning directly from raw images, enhancing flexibility and effectiveness in tasks such as classification, depth estimation, and segmentation. This…
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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: Datasets

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

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

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

newsRevolutionizing Humanoid Robotics: NVIDIA Unveils New Tools and Workflows to Accelerate AI Development

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

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

newsRefik Anadol Partners with Meta’s Llama to Create Groundbreaking ‘Large Nature Model’

newsMeta Launches SAM 2: Revolutionizing Object Segmentation in Images and Videos with Advanced AI Capabilities

newsGeorgia Tech and Meta Collaborate on Groundbreaking Dataset to Drive Innovation in Direct Air Capture Technology

newsEPFL, Yale School of Medicine, Meta, and ICRC Collaborate to Launch Meditron: AI Suite for Low-Resource Medical Settings

newsMeta AI Launches DINOv2, a Breakthrough in Self-Supervised Learning for Versatile Computer Vision Applications

What is RadicalShift AI?

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