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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)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 AILarge 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…
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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, SemiconductorsOleg 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, XLAKey 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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newsGlobal Power Transformation: NVIDIA and Consortium Harness AI to Revolutionize Electricity Generation and Distribution
Agent AI, Americas, Artificial Intelligence, Automation, Data centers, Energy, Gas & Oil, Industrial, Infrastructure & Utilities, LLMs (Large Language Models), Machine learningOleg Lazarov
academia, AI-driven energy management, Articul8, asset performance, collaborative innovation, distributed energy resources, electric grid, electricity distribution, electricity generation, energy companies, energy transformation, EPRI, generative AI, Grid Reliability, H100 GPUs, industry-specific data, interconnection studies, large language models, multimodal, NVIDIA, NVIDIA GTC, open AI models, Open Power AI Consortium, power sector, PPL Corporation, proprietary energy data, standardized benchmarks, technology companies, utilitiesSANTA CLARA — A groundbreaking initiative has been unveiled on March 20, 2025, as a global consortium unites utilities, technology firms, academia, and research organizations to forge open AI models aimed at revolutionizing electricity generation and distribution. Dubbed the Open Power AI Consortium and led by the independent nonprofit energy R&D organization EPRI, this collaborative…
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newsIntel Unveils Next-Gen Edge AI Solutions: Empowering Seamless Integration into Legacy Infrastructure
AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Edge AI, Edge computing, Industrial, Machine learning, Open Source LLMsSheryl Rivera
SANTA CLARA — Intel has unveiled a suite of new offerings—Intel® AI Edge Systems, Edge AI Suites, and the Open Edge Platform—that promise to streamline the integration of AI into existing infrastructure across industries such as retail, manufacturing, smart cities, and media and entertainment. This initiative is designed to simplify and accelerate the deployment of AI…
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analysesThe Robotics Reckoning: America’s Industrial Decline in the Face of China’s Ascendancy – SemiAnalysis
Americas, Asia, Automation, Automotive, Electronics & Machinery, Industrial, Metals and Minerals, Physical AI, RoboticsSheryl Rivera
ABB, Actuators, Agibot, AGVs, AI, ATI Industrial Automation, automation, Automotive Industry, autonomous guided vehicles, Basic Plan for Intelligent Robots, Bear Robotics, Belt and Road Initiative, birth rate crisis, Bosch, Boston Dynamics, BYD, CATL, Chile, China, CHIPS Act, CNC machines, cobots, collaborative robots, COVID-19, data scarcity, Destaco, DJI, DoD, DRC, Drones, Dylan Patel, economies of scale, Efort, electronics manufacturing, embodied AI, end-effectors, Estun, EU, FANUC, Festo, foundation models, gearboxes, general purpose robotics, Germany, Goldman Sachs, Google arm farm, GoPro, Guangdong, Harmonic Drive, Hero5, Hesai, high-mix low-volume production, humanoid robots, Hyundai, IEA, IGBT, Indonesia, industrial revolution, industrial robots, Industrie 4.0, Infineon, Inflation Reduction Act, Intel RealSense, iteration speed, Japan, Jeremie Eliahou Ontiveros, Jingci, JL MAG, Joe Ryu, joint encoders, Karma Drone, KUKA, labor economy, Leaderdrive, LG, LGES, LiDAR, lights-out factory, lithium-ion batteries, Lynas, Made in China 2025, manufacturing dominance, MCU, Microcontroller Unit, Midea Group, mobile manipulators, mobile robots, MOSFET, MP Materials, Nabtesco, NdFeB, Neodymium, next-gen robots, Niko Ciminelli, Ningbo Yungsheng, Northvolt, NVIDIA, NXP, oversupply strategy, Panasonic, permanent magnets, Peru, PLC, Programmable Logic Controller, quadrupeds, rare earths, Reyk Knuhtsen, Robert Ghilduta, robotics, robotics AGI, Rockwell, Samsung, Schmalz, Schunk, SemiAnalysis, servo motors, Shenzhen, Siasun, Sicomines Pact, Siemens, Silverado Policy Accelerator, South Korea, substantial transformation principle, supply chain, supply chain disruptions, Tesla Optimus, TXN, UBTech, United States, Unitree, Unitree G1, Universal Robots UR5e, US Department of Defense, Wang Xingxing, World Robot Conference 2024, Xi Jinping, Xiaomi, Yaskawa, Zimmer GroupIn a sweeping and incisive analysis titled “America Is Missing The New Labor Economy – Robotics Part 1“, published on March 11, 2025, by SemiAnalysis, authors Dylan Patel, Reyk Knuhtsen, Niko Ciminelli, Jeremie Eliahou Ontiveros, Joe Ryu, and Robert Ghilduta deliver a wake-up call to the United States and the broader Western world. The paper…
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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 LLMsOleg Lazarov
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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newsDane Technologies and Brain Corp Unveil Revolutionary Autonomous Inventory Robot
Sheryl Rivera
AI-driven automation, autonomous mobile robot, barcode scanning, Brain Corp, BrainOS, Cognex technology, computer vision, cycle counts, Dane AiR™ DC, Dane Technologies, data accuracy, digital precision, distribution centers, inventory management, inventory visibility, manual inventory process, operating costs, ProMat 2025, RFID, supply chain, warehouse automation, Warehouse Management Systems, warehouses, WMSSAN DIEGO — In a major move set to redefine warehouse operations, Dane Technologies and Brain Corp have today announced the launch of the Dane AiR™ DC—an autonomous mobile robot engineered to revolutionize inventory management in distribution centers and warehouses. The collaboration brings together Dane’s long-standing expertise in mobile robotics and Brain Corp’s cutting-edge AI…
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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, SemiconductorsOleg 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, XAIThis 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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newsPalantir and Databricks Partner to Power Next-Generation AI Solutions
Americas, Analytics, Artificial Intelligence, Automation, Data, Generative AI, Industrial, Machine learningSheryl Rivera
AIP, Artificial Intelligence Platform, bp, Data Intelligence Platform, data warehousing, Databricks, Delta Sharing, Department of Defense, Department of Health and Human Services, Department of the Treasury, digital transformation, enterprise, generative AI, machine learning, multimodal security system, Ontology System, operational efficiency, Palantir, Partnership, real-time autonomous workflows, total cost of ownership, unified data architecture, Unity CatalogSAN FRANCISCO — Palantir Technologies Inc. and Databricks today announced a strategic product partnership designed to combine Palantir’s Artificial Intelligence Platform (AIP) with Databricks’ Data Intelligence Platform. The collaboration aims to deliver a unified, scalable data architecture that not only streamlines AI application development but also significantly reduces total cost of ownership for customers. At…
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newsUiPath Expands Its AI-Driven Automation Arsenal with Strategic Peak Acquisition
Americas, Artificial Intelligence, Automation, Data, Europe, Industrial, LLMs (Large Language Models), Machine learningSheryl Rivera
Agentic Workflows, AI-native, automation platform, Cost reduction, Daniel Dines, decision-making, digital transformation, enterprise automation, global scale, integration, inventory management, LLMs, operational efficiency, Peak, pricing optimization, purpose-built AI, Richard Potter, UiPath, vertical AI solutionsNEW YORK — In a move set to redefine enterprise automation, UiPath (NYSE: PATH) today announced the acquisition of Peak, an AI-native company based in Manchester, United Kingdom. Known for its cutting-edge AI platform that optimizes product inventory and pricing, Peak’s purpose-built applications will now enhance UiPath’s robust automation solutions, accelerating the delivery of industry-specific…
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newsIntel Expands Tiber Trust Services to Reinforce AI Security and Supply Chain Integrity
AI models, Americas, Artificial Intelligence, Cybersecurity, Data, Industrial, Machine learning, Security & SafetySheryl Rivera
AI model training, AI security, chip-level security, continuous monitoring, cyberthreats, data privacy, enterprise security, federated learning, Intel, Intel Assured Supply Chain, Intel Tiber, OpenFL, Platform Lifecycle Integrity, regulatory compliance, Secure Federated AI, Security Assurance Services, supply chain integrity, Tiber Trust Services, Transparent Supply Chain, trusted computingSANTA CLARA — Intel today announced an expansion of its Intel® Tiber™ Trust Services portfolio, a comprehensive suite of security solutions designed to safeguard enterprise systems across the entire application lifecycle. The expanded portfolio aims to address the growing challenges posed by sophisticated cyberthreats and tightening regulatory demands, while also unlocking new opportunities in secure…
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newsGoogle DeepMind Unveils Gemini Robotics, Pioneering the Next Generation of Helpful Robots
Sheryl Rivera
Agile Robots, Agility Robots, ALOHA 2, Apollo robot, Apptronik, ASIMOV dataset, Boston Dynamics, digital-to-physical shift, embodied AI, Enchanted Tools, Franka arms, Gemini 2.0, Gemini Robotics, Gemini Robotics-ER, Google DeepMind, multimodal reasoning, physical interaction, robotics, safety, spatial reasoning, vision-language-actionLONDON — Google DeepMind has taken a major leap forward in bridging the gap between digital intelligence and physical action with the introduction of Gemini Robotics and Gemini Robotics-ER—two new AI models based on Gemini 2.0 that are set to redefine the future of robotics. While previous Gemini models showcased remarkable multimodal reasoning across text,…
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newsGemma 3 Launch: Revolutionizing On-Device AI with Advanced Capabilities and Robust Safety Measures
AI models, Americas, Artificial Intelligence, Graphics Processing Unit (GPU), Industrial, LLMs (Large Language Models), Open Source LLMsSheryl Rivera
12B, 1B, 27B, 4B, academic research, AI, BgGPT, Cloud Run, function calling, Gemini 2.0, Gemma, Gemma 3, Gemma family, Gemmaverse, Google AI Studio, Google Cloud credits, Hugging Face Transformers, image safety checker, language support, lightweight models, NVIDIA NIMs, OmniAudio, on-device AI, open models, PyTorch, quantized models, safety protocols, SEA-LION v3, ShieldGemma 2, text and visual reasoning, Vertex AIMOUNTAIN VIEW — The creators of the Gemma family of open models marked a significant milestone with the launch of Gemma 3—a new suite of lightweight, cutting-edge AI models. Celebrating Gemma’s first birthday with over 100 million downloads and more than 60,000 community-created variants, this release reinforces their commitment to democratizing AI technology. Built on…
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newsPrinceton Researchers Unveil AI Reinforcement Learning Breakthrough Without Guided Feedback
Sheryl Rivera
A Single Goal is All You Need, AI, AI agents, Ben Eysenbach, childlike exploration, contrastive RL, emergent strategies, exploration, feedback, Grace Liu, guided feedback, International Conference on Learning Representations, Michael Tang, Princeton researchers, reinforcement learning, rewards, simulated robots, Singapore, single goal, trial and errorPRINCETON — Princeton researchers have upended conventional reinforcement learning by demonstrating that AI agents can learn faster without step-by-step feedback. In a study that challenges established training paradigms, simulated robots were assigned a single, difficult task with no guided feedback—and they succeeded, often outperforming robots trained with detailed rewards and instructions. Reinforcement learning typically relies on…
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newsNVIDIA Innovators Redefine Visual Effects with Award-Winning Technological Breakthroughs
AI models, Americas, Artificial Intelligence, Automation, Computer vision, Entertainment, Generative AI, Graphics Processing Unit (GPU), LLMs (Large Language Models), Machine learning, MediaSheryl Rivera
Academy Awards, Academy Museum of Motion Pictures, AI, Andrew van Straten, Attila T. Áfra, Crawford Doran, David Adler, Disney’s ML Denoiser, DNEG, Essex Edwards, Fabrice Rousselle, Gerhard Röthlin, GODZILLA, James Jacobs, Jernej Barbic, Legendary, Mark Meyer, media and entertainment, NVIDIA, NVIDIA GTC, rendering, Scientific and Technical Awards, simulation, Thijs Vogels, Timo Aila, Toho, U-Net Architecture, Visual Effects, Warner Bros, Ziva VFXSANTA CLARA — In a celebration of innovation in the film industry, three NVIDIA researchers have been honored with prestigious Scientific and Technical Awards by the Academy of Motion Picture Arts and Sciences. For 16 years, NVIDIA technologies have powered the visual effects behind every Academy Award-nominated film in the Best Visual Effects category, and…
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newsGlobal AI Consortium NextGenAI Set to Redefine Research and Education with $50M OpenAI Backing
AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Education, Generative AI, Internet & Online, LLMs (Large Language Models), Machine learningSheryl Rivera
academic collaboration, AI breakthroughs, AI literacy, API access, Boston Children’s Hospital, Boston Public Library, Brad Lightcap, California State University system, Caltech, ChatGPT Edu, compute funding, digital health, Duke University, education transformation, generative AI, Harvard University, Howard University, industry partnership, Massachusetts Institute of Technology, NextGenAI, OpenAI, research grants, research institutions, Sciences Po, Texas A&M University, The Ohio State University, University of Georgia, University of Michigan, University of Mississippi, University of OxfordSAN FRANCISCO — OpenAI has launched NextGenAI, a groundbreaking consortium that unites 15 premier research institutions from around the world to harness the power of artificial intelligence for accelerating research breakthroughs and transforming education. With a robust commitment of $50 million in research grants, compute resources, and API access, OpenAI is fueling the initiative to…
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analysesNVIDIA’s Role in Healthcare Innovation Feb 2025
Accelerated computing, Americas, Analytics, Artificial Intelligence, Big Data, Generative AI, Healthcare, Neural networks, Pharma & Biotech, Predictive analytics, SemiconductorsRadicalShift.AI
$10 trillion, 1993, 2025, AI, AlphaFold2, Amgen, Arc Institute, biologics, BioNeMo™, California, Clara, clinical trials, Cosmos Nemotron, CT, deCODE genetics, Deloitte, DGX Cloud, DGX SuperPOD, DGX systems, DiffDock 2.0, Drug Discovery, Freyja, genomics, GPUs, H100 Tensor Core GPUs, Healthcare, Iceland, Illumina, IQVIA, J.P. Morgan Healthcare Conference, Mayo Clinic, medical imaging, MONAI, MRI, NIM microservices, NVIDIA, Parabricks, precision medicine, ProteinMPNN, Quartz Atlas AI, RAPIDS, Reykjavik, RFdiffusion, Santa Clara, The Crick Team, TRACERx EVO, UC San Diego, ultrasound, Wellcome Sanger InstituteKey Points Nvidia is a tech leader in GPUs and AI, expanding into healthcare with innovative platforms. Partners with major healthcare firms like IQVIA, Illumina, Mayo Clinic, and Amgen for AI-driven solutions. Impacts drug discovery, medical imaging, genomics, and clinical trials, accelerating research and improving outcomes. Surprisingly, Nvidia’s AI helps predict protein properties for biologics,…
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newsEY Unveils AI-Powered Telecom.ai Solution to Revolutionize Contract Management and Operations in Telecom Industry
Agent AI, AI assistants, Algorithms, Analytics, Artificial Intelligence, Automation, Europe, Industrial, LLMs (Large Language Models), Machine learning, TelecomSheryl Rivera
AI agents, AI Enterprise, AI-powered decision-making., automation, Chris Penrose, CI agent, contract analysis, Contract Intelligence, customer experience, EY, EY Telecom.ai, financial forecasting, MWC Barcelona 2025, NeMo Guardrails, NeMo Retriever, NIM microservices, NVIDIA, operational efficiency, Paolo Canale, real-time insights, telecom providers, telecommunications, vendor contractsLONDON — At the Mobile World Congress (MWC) in Barcelona 2025, EY announced the launch of its innovative AI-driven solution, EY Telecom.ai, designed to enhance the operations of telecommunications providers. This new suite of artificial intelligence agents targets critical functions including finance, network management, customer service, and content lifecycle management, making it easier for telecom…
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newsOpenAI Unveils GPT-4.5: A New Era in AI with Enhanced Emotional Intelligence and Creativity
AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Generative AI, Generative pre-trained transformers (GPT), Internet & Online, Machine learningSheryl Rivera
AI, AI applications, Assistants API, Batch API, Chat Completions API, ChatGPT, coding, conversational tone, creative outputs, creativity, Design, developers, emotional intelligence, GPT-4.5, hallucination reduction, human collaboration, innovation, knowledge base, learning, nuanced understanding, o1, o3-mini, OpenAI, pattern recognition, post-training, pre-training, Pro users, problem-solving, reasoning-driven models, technology, unsupervised learning, writing, writing assistanceSAN FRANCISCO — OpenAI has announced the release of GPT-4.5, a new iteration of its advanced language model, now available for research preview to Pro users and developers worldwide. The model, a significant step forward in the company’s AI capabilities, integrates enhanced pre-training and post-training techniques, marking a notable advancement in scaling unsupervised learning and…
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newsNVIDIA Q4 2025: AI Boom Delivers Record Revenue and Profits
AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Financial, Generative AI, Generative pre-trained transformers (GPT), Industrial, LLMs (Large Language Models), Machine learning, Semiconductors, SupercomputerSheryl Rivera
SANTA CLARA — NVIDIA has reported blockbuster financial results for the fourth quarter and full fiscal year 2025, fueled by surging demand for its artificial intelligence (AI) and data center chips. The GPU giant posted record Q4 revenue of $39.3 billion, a 78% jump year-over-year (YoY), bringing full-year revenue to $130.5 billion (up 114% YoY).…
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.
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