reinforcement 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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newsPrinceton Researchers Unveil AI Reinforcement Learning Breakthrough Without Guided Feedback

AI models, Americas, Artificial Intelligence, Education, Industrial, Machine learning, Robotics

March 12, 2025

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 error

PRINCETON — 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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newsxAI Unveils Grok 3 and Grok 3 mini: A New Frontier in Next-Generation AI Reasoning

Agent AI, AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Industrial, LLMs (Large Language Models), Machine learning

February 20, 2025

Sheryl Rivera

academic benchmarks, advanced agent capabilities, advanced reasoning, advanced security, AI agents, AIME, API, chain-of-thought, Chatbot Arena, codename chocolate, Colossus supercluster, DeepSearch, enterprise, Grok 3, Grok 3 mini, Grok Agents, large-scale pretraining, multi-region deployments, multimodal understanding, next-generation AI, one million tokens, reinforcement learning, test-time compute, tool use, 𝕏 Premium, 𝕏 Premium+ users, XAI

SAN FRANCISCO — xAI has unveiled Grok 3, its most advanced AI model to date, alongside Grok 3 mini—a cost-efficient variant designed to push the limits of reasoning and pretraining knowledge. Developed on the Colossus supercluster with 10 times the compute of earlier state-of-the-art models, Grok 3 combines superior reasoning abilities with extensive pretraining, delivering…
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newsBoston Dynamics Teams Up with Robotics & AI Institute to Advance Reinforcement Learning for Atlas Humanoid Robot

Americas, Artificial Intelligence, Europe, Industrial, Reinforcement learning, Robotics

February 6, 2025

Oleg Lazarov

AI applications, AI development, AI robotics, Atlas robot, Boston Dynamics, Dynamic Behavior, Full-Body Contact, humanoid robot development, humanoid robots, Loco-Manipulation, Marc Raibert, Mobile Manipulation, reinforcement learning, Robert Playter, robot manipulation, robot mobility, Robotics & AI Institute, robotics research, Sim-to-Real

BOSTON/ CAMBRIDGE, MA — In a major step for humanoid robotics, Boston Dynamics and the Robotics & AI Institute (RAI Institute) have come together to push the boundaries of reinforcement learning and its application to the Atlas robot. This partnership seeks to establish a shared training pipeline that will enable the new electric Atlas robot…
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newsNVIDIA Accelerates Physical AI with Advanced Platforms for Humanoid Robots and Autonomous Facilities

AI assistants, Americas, Artificial Intelligence, Automation, Digital twins, Edge computing, Generative AI, Industrial, Reinforcement learning, Robotics, Transportation & Logistics

October 23, 2024

Oleg Lazarov

Agility Robotics, Amazon Robotics, autonomous ecosystems, autonomous factories, autonomous medical facilities, Boston Dynamics, DGX platform, Digital Twin, edge computing, foundation models, Foxconn, generative AI, Healthcare, humanoid robots, imitation learning, industrial systems, Isaac Lab, Isaac Sim, Jetson Thor, logistics, Manufacturing, Mega, NeMo, NVIDIA, Omniverse, OVX servers, Physical AI, productivity, Project GR00T, reinforcement learning, RGo Robotics, robot brain, robotics development, robots, simulation, smart cities, sustainability, synthetic data, training

SANTA CLARA — NVIDIA is advancing the field of physical AI by introducing specialized computing platforms designed to bring intelligence to real-world industrial systems. While generative AI has already transformed digital sectors, physical AI—artificial intelligence embodied in physical systems like robots and automated factories—has been slower to take off. However, with NVIDIA’s new suite of…
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newsAlphaChip: Google DeepMind’s Breakthrough in AI-Driven Chip Design

AI assistants, AI models, Artificial Intelligence, Europe, Industrial, Machine learning, Neural networks, Open Source LLMs, Semiconductors

September 28, 2024

Sheryl Rivera

2020, addendum, AI, AI-driven method, AlphaChip, chip, chip design, computer chips, Google DeepMind, human designs, layouts, model weights, Nature, pre-trained checkpoint, preprint, publication, reinforcement learning, Tensor Processing Unit, TPU

LONDON — On September 26, 2024, Google DeepMind released an addendum in Nature that explores the impact of AlphaChip, an AI-driven method that has transformed computer chip design. Building on their initial 2020 preprint and subsequent publication, this release introduces the AlphaChip model, along with a pre-trained checkpoint and shared model weights. Since its introduction,…
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newsGoogle DeepMind Introduces Advanced AI Systems to Boost Robot Dexterity for Complex Real-World Tasks

AI assistants, Americas, Analytics, Artificial Intelligence, Automation, Europe, Industrial, Machine learning, Open Source LLMs, Robotics

September 12, 2024

Oleg Lazarov

AI, ALOHA Unleashed, artificial intelligence, complex tasks, DemoStart, DEX-EE, dual-arm manipulation, dynamic environments, Google DeepMind, human-level dexterity, MuJoCo, physical objects, real-world performance, reinforcement learning, robot dexterity, robotic hand, robotic learning, Shadow Robot, simulation, task mastery, two-armed robots

LONDON — Google DeepMind has unveiled two new artificial intelligence (AI) systems, ALOHA Unleashed and DemoStart, aimed at enhancing robot dexterity for complex tasks. These advancements are part of ongoing efforts to make robots more adept at interacting with physical objects in dynamic settings. Example of a bi-arm robot laying out a polo shirt on…
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newsMentee Robotics Unveils MenteeBot: A Breakthrough in Human-Like Robotics for Practical Applications

AI assistants, Analytics, Artificial Intelligence, Asia, Automation, Industrial, Robotics

July 30, 2024

Sheryl Rivera

AI, artificial intelligence, detachable battery, dexterity, human-like motion, human-robot interaction, humanoid robot, intuitive support, labor shortages, locomotion, Manufacturing, marker-less 3D environment, Mentee Robotics, MenteeBot, nursing homes, NVIDIA Isaac Lab, NVIDIA Jetson Orin, NVIDIA Omniverse™, perception, practical AI, real-world applications, reinforcement learning, Retail, robotics, shopping cart assistance, simulation, V3 model, warehouses

HERZLIYA, Israel — Mentee Robotics is redefining the robotics landscape with the introduction of MenteeBot, a humanoid robot that seamlessly integrates robotics, advanced sensing, and artificial intelligence to achieve unprecedented levels of dexterity and perception. Designed as a practical solution for real-world challenges, MenteeBot represents a significant leap forward in robotic capability and human-robot interaction.…
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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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newsMeta Launches Smarter, Faster, and Responsible AI Assistant Powered by the Advanced Llama 3 Model

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Internet & Online, Machine learning, Open Source LLMs, Reinforcement learning, Responsible AI

April 18, 2024

Oleg Lazarov

AI assistant, artificial intelligence, benchmarks, coding, developer tools, fine-tuning, generative AI, human feedback, large language model, Llama 3, machine learning, Meta, Meta AI, Meta ecosystem, Meta Llama 3, open community, open-source, reasoning, reinforcement learning, responsible AI, supervised fine-tuning, training data

MENLO PARK — Meta has adopted a robust and forward-thinking approach to ensure that its Meta AI and Meta Llama 3 models are developed, deployed, and used responsibly. The company recognizes the transformative power of artificial intelligence but also understands the importance of mitigating risks associated with this technology. To this end, Meta has implemented…
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newsNeurIPS 2020 Competitions to Leverage Procgen Benchmark and MineRL Announced

Americas, Artificial Intelligence, Entertainment, Generative AI, Generative pre-trained transformers (GPT), Machine learning, Reinforcement learning

June 21, 2020

Sheryl Rivera

AIcrowd, AlphaGo, AlphaStar, Carnegie Mellon University, DeepMind, Minecraft, MineRL, MineRL Competition, MineRL-v0 dataset, NeurIPS 2020, OpenAI, OpenAI Five, Procgen Benchmark, Procgen Competition, reinforcement learning

SAN FRANCISCO — In an exciting collaboration, OpenAI, AIcrowd, Carnegie Mellon University, and DeepMind are set to co-organize two prestigious competitions at NeurIPS 2020. These competitions, utilizing the Procgen Benchmark and MineRL, aim to drive advancements in reinforcement learning. Procgen Competition The Procgen Competition, a cornerstone of the event, challenges participants to enhance sample efficiency…
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newsExploring Deep RL: OpenAI’s Workshop Unveils Insights and Innovations

Algorithms, Americas, Artificial Intelligence, Education, Generative AI, Generative pre-trained transformers (GPT), Industrial, Machine learning, Reinforcement learning, Robotics

February 27, 2019

Sheryl Rivera

AI, algorithm design, Blake Tucker, Daniel Ziegler, Dario Amodei, Ian Atha, Joshua Achiam, Karl Cobbe, Loren Kwan, Maddie Hall, Matthias Plappert, OpenAI, reinforcement learning, RL, RL algorithms, robotics, Ruby Chen, Spinning Up Workshop

SAN FRANCISCO — A detailed account of OpenAI‘s inaugural Spinning Up Workshop on February 2 showcases the organization’s commitment to advancing education in artificial intelligence. Drawing nearly 90 participants onsite and engaging nearly 300 more via livestream, the event attracted a diverse cohort representing various fields, including academia, software engineering, data science, ML engineering, medicine,…
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newsCoding Waves: OpenAI’s Debut Hackathon Dives into AI Innovation and Inclusion

Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Generative AI, Generative pre-trained transformers (GPT), Industrial, Machine learning, Predictive analytics

March 16, 2018

Sheryl Rivera

AeroEnv, AGI, Alec Radford, artificial intelligence, Cirrascale, GANs, Hackathon, Ilya Sutskever, inclusivity, innovation, Josh Achiam, OpenAI, reinforcement learning, Sam Altman

SAN FRANCISCO — On March 3rd (2018), OpenAI hosted its inaugural hackathon, welcoming 100 members of the artificial intelligence community. The event garnered over 500 RSVPs within just two days of announcement, reflecting significant interest in the gathering. Cirrascale‘s contribution of GPU machines during the hackathon facilitated smooth operations. Diverse participants from various backgrounds including…
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newsFacebook Enhances AI Research with New Montreal Lab Led by AI Expert Joelle Pineau

Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Investment, Machine learning, Open Source LLMs, Reinforcement learning

September 16, 2017

Oleg Lazarov

AI Ecosystem, AI Lab, AI research collaborations, artificial intelligence, Canadian research community, CIFAR, dialog systems, Facebook AI expansion, Facebook AI Research, FAIR, government policies, Joelle Pineau, McGill University, MILA, Montreal, Montreal Institute for Learning Algorithms, open source software, Reasoning and Learning Lab, reinforcement learning, startups, Université de Montréal, Yann LeCun

MENLO PARK — Facebook has announced the expansion of its AI research initiatives by opening a new artificial intelligence research lab in Montreal. This move strengthens Facebook AI Research (FAIR) by adding to its existing teams in Menlo Park, New York, and Paris. The Montreal lab will focus on cutting-edge AI projects, with a special…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.

AI.RadicalShift

Tag: reinforcement learning

newsPrinceton Researchers Unveil AI Reinforcement Learning Breakthrough Without Guided Feedback

newsxAI Unveils Grok 3 and Grok 3 mini: A New Frontier in Next-Generation AI Reasoning

newsBoston Dynamics Teams Up with Robotics & AI Institute to Advance Reinforcement Learning for Atlas Humanoid Robot

newsNVIDIA Accelerates Physical AI with Advanced Platforms for Humanoid Robots and Autonomous Facilities

newsAlphaChip: Google DeepMind’s Breakthrough in AI-Driven Chip Design

newsGoogle DeepMind Introduces Advanced AI Systems to Boost Robot Dexterity for Complex Real-World Tasks

newsMentee Robotics Unveils MenteeBot: A Breakthrough in Human-Like Robotics for Practical Applications

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

newsMeta Launches Smarter, Faster, and Responsible AI Assistant Powered by the Advanced Llama 3 Model

newsNeurIPS 2020 Competitions to Leverage Procgen Benchmark and MineRL Announced

newsExploring Deep RL: OpenAI’s Workshop Unveils Insights and Innovations

newsCoding Waves: OpenAI’s Debut Hackathon Dives into AI Innovation and Inclusion

newsFacebook Enhances AI Research with New Montreal Lab Led by AI Expert Joelle Pineau

What is RadicalShift AI?

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