AI News

DECEMBER 11, 2024

Leap towards transformational AI Reflecting on Googles 26-year mission to organise and make the worlds information accessible, Pichai remarked, If Gemini 1.0 released in December 2022, was notable for being Googles first natively multimodal AI model. was about organising and understanding information, Gemini 2.0 Its enhanced 1.5

Big Data 319

Big Data AI AI Automation 319

NVIDIA

FEBRUARY 20, 2025

Editors note: This post is part of Into the Omniverse , a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Humanoid robots are rapidly becoming a reality.

Robotics 99

Robotics Deep Learning Generative AI AI Modeling 99

NVIDIA

JANUARY 6, 2025

NVIDIA founder and CEO Jensen Huang kicked off CES 2025 with a 90-minute keynote that included new products to advance gaming, autonomous vehicles, robotics and agentic AI. AI has been advancing at an incredible pace, he said before an audience of more than 6,000 packed into the Michelob Ultra Arena in Las Vegas.

Robotics 144

Robotics Explainability AI AI 144

AI Weekly

DECEMBER 19, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co forbes.com Our Sponsor Metas open source AI enables small businesses, start-ups, students, researchers and more to download and build with our models at no cost. Open source AI models are available to all.

Robotics 147

Robotics Artificial Intelligence Artificial Intelligence Deep Learning 147

Unite.AI

MAY 22, 2024

It boasts a staggering performance improvement over its predecessor, GPT-4, and leaves competing models like Gemini 1.5 Let's dive deeper into what makes this AI model truly groundbreaking. According to OpenAI's evaluations, the model has a remarkable 60 Elo point lead over the previous top performer, GPT-4 Turbo.

AI Modeling 260

AI Modeling OpenAI Responsible AI Artificial Intelligence 260

Unite.AI

FEBRUARY 11, 2025

Future AGIs proprietary technology includes advanced evaluation systems for text and images, agent optimizers, and auto-annotation tools that cut AI development time by up to 95%. Enterprises can complete evaluations in minutes, enabling AI systems to be optimized for production with minimal manual effort.

Auto-complete 147

Auto-complete ML Engineer AI AI 147

Unite.AI

MARCH 24, 2024

It involves an AI model capable of absorbing instructions, performing the described tasks, and then conversing with a ‘sister' AI to relay the process in linguistic terms, enabling replication. The potential applications of this technology in robotics are particularly promising.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

NVIDIA

JANUARY 6, 2025

NVIDIA Cosmos , a platform for accelerating physical AI development, introduces a family of world foundation models neural networks that can predict and generate physics-aware videos of the future state of a virtual environment to help developers build next-generation robots and autonomous vehicles (AVs).

AI Developer 139

AI Developer AI Development Robotics Neural Network 139

Unite.AI

MARCH 21, 2024

NVIDIA's continued commitment to innovation is evident in this new chip's ability to handle large-scale AI models more efficiently than ever before. By optimizing neuron representation from eight bits to four, the engine effectively doubles the computing capacity, bandwidth, and model size.

Robotics 298

Robotics AI AI Natural Language Processing 298

AI Weekly

OCTOBER 19, 2023

clkmg.com In The News The BBC is blocking OpenAI data scraping The BBC, the UK’s largest news organization, laid out principles it plans to follow as it evaluates the use of generative AI — including for research and production of journalism, archival, and “personalized experiences.”

Robotics 263

Robotics Deep Learning Data Scientist Artificial Intelligence 263

NVIDIA

JANUARY 8, 2024

Generative AI is reshaping trillion-dollar industries, and NVIDIA, a front-runner in smart robotics, is seizing the moment. Speaking today as part of a special address ahead of CES, NVIDIA Vice President of Robotics and Edge Computing Deepu Talla detailed how NVIDIA and its partners are bringing generative AI and robotics together.

Robotics 129

Robotics Generative AI Large Language Models AI 129

Unite.AI

JUNE 26, 2023

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. Both categories have their risks.

Black Box AI 297

Black Box AI Explainable AI Explainability AI 297

NVIDIA

OCTOBER 23, 2024

Physical AI, the embodiment of artificial intelligence in humanoids, factories and other devices within industrial systems, has yet to experience its breakthrough moment. This has held back industries such as transportation and mobility, manufacturing, logistics and robotics. And that’s where physical AI comes in.

Robotics 112

Robotics Generative AI AI AI 112

NVIDIA

OCTOBER 18, 2023

Powerful generative AI models and cloud-native APIs and microservices are coming to the edge. Generative AI is bringing the power of transformer models and large language models to virtually every industry. Generative AI is expected to add $10.5 More than 1.2

Robotics 126

Robotics Generative AI Convolutional Neural Networks Neural Network 126

AI News

AUGUST 10, 2023

Dr Antonio Espingardeiro, IEEE member and software and robotics expert, comments: “As it becomes more sophisticated, AI can efficiently conduct tasks traditionally undertaken by humans. The University of Oxford’s project, bolstered by £640,000, seeks to expedite research into a foundational AI model for clinical risk prediction.

Robotics 239

Robotics Big Data Machine Learning AI 239

AI News

MAY 29, 2024

However, he parted ways with the company in 2018 due to disagreements over its priorities and direction, specifically OpenAI’s move away from open-source AI models and towards proprietary, closed models that they sell access to. He co-founded OpenAI in 2015 alongside the current CEO, Sam Altman, and others.

OpenAI 337

OpenAI Big Data AI AI 337

AI Weekly

JULY 20, 2023

vox.com ChatGPT Out-scores Medical Students on Complex Clinical Care Exam Questions A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education. techtarget.com Applied use cases AI love: It's complicated Movies have hinted at humans falling for their AI chatbots.

Neural Network 243

Neural Network Robotics Big Data Machine Learning 243

Topbots

SEPTEMBER 10, 2024

We’ll also delve into the growing importance of open-source AI, the emergence of autonomous agents, and the expanding role of AI in sectors like coding, gaming, and humanoid robotics. Buckle up for a deep dive into how AI is transforming our world – one breakthrough at a time.

Robotics 111

Robotics Software Development AI AI 111

Unite.AI

JANUARY 31, 2025

This ensures that AI systems develop a deep conceptual understanding beyond merely memorizing responses to truly grasping the principles behind their actions. In practice, ARC-AGI has led to significant advancements in AI, especially in fields that demand high adaptability, such as robotics.

AI 147

AI AI Robotics Continuous Learning 147

NVIDIA

MARCH 18, 2025

With 96GB of ultrafast GDDR7 memory and support for Multi-Instance GPU, or MIG , each RTX PRO 6000 can be partitioned into as many as four fully isolated instances with 24GB each to run simultaneous AI and graphics workloads. compared with L40S GPUs. compared with L40S GPUs.

AI 113

AI Generative AI AI Computer Vision 113

NVIDIA

MARCH 25, 2025

Generative AI is unlocking new capabilities for PCs and workstations, including game assistants, enhanced content-creation and productivity tools and more. NVIDIA NIM microservices, available now, and AI Blueprints , in the coming weeks, accelerate AI development and improve its accessibility. Ready, Set, NIM!

Computer Vision 108

Computer Vision AI AI Generative AI 108

NVIDIA

DECEMBER 11, 2024

Editors note: This post is part of Into the Omniverse , a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Scalable simulation technologies are driving the future of autonomous robotics by reducing development time and costs.

Robotics 87

Robotics Computer Vision AI Modeling Deep Learning 87

NVIDIA

FEBRUARY 12, 2025

Just as there are widely understood empirical laws of nature for example, what goes up must come down , or every action has an equal and opposite reaction the field of AI was long defined by a single idea: that more compute, more training data and more parameters makes a better AI model. What Is Pretraining Scaling?

LLM 91

LLM AI AI AI Modeling 91

NVIDIA

OCTOBER 26, 2023

The Woods Hole Oceanographic Institution (WHOI) Autonomous Robotics and Perception Laboratory ( WARPLab ) and MIT are developing a robot for studying coral reefs and their ecosystems. The robot runs an expanding collection of NVIDIA Jetson-enabled edge AI to build 3D models of reefs and to track creatures and plant life.

Robotics 114

Robotics Deep Learning Convolutional Neural Networks Neural Network 114

Marktechpost

JANUARY 6, 2025

Building accurate models often demands extensive computational resources and time, with simulations sometimes requiring days or weeks to produce actionable results. These challenges underscore the need for tools that simplify model development while delivering efficiency and precision.

AI Developer 104

AI Developer AI Development AI LLM 104

Towards AI

DECEMBER 16, 2024

Key Contributions: State-space models for vision tasks. How You Can Use It: Robotics and AR/VR Systems: Use Vision Mambas lightweight architecture to build real-time vision systems. Multi-Modal Applications: Combine with NLP models to create AI assistants that interpret both text and images.

AI Researcher 111

AI Researcher AI Research Computer Vision Neural Network 111

NVIDIA

JANUARY 16, 2025

AI agents are poised to transform productivity for the worlds billion knowledge workers with knowledge robots that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance.

AI 134

AI AI Generative AI LLM 134

NVIDIA

JUNE 2, 2024

CoreWeave, GMO Internet Group, Lambda, Scaleway, STPX Global and Yotta are among the first AI cloud service providers embracing Spectrum-X to bring extreme networking performance to their AI infrastructures. The next wave of AI is physical AI. Robotics is here. Physical AI is here.

Robotics 142

Robotics Explainability Generative AI Large Language Models 142

ODSC - Open Data Science

MARCH 20, 2025

Industry, Opinion, CareerAdvice Upcoming Webinars: Master Prompt Engineering & Generative AI with Azure OpenAIService These two webinars on March 25th & 27th will provide practical insights and hands-on experience in prompt engineering and generative AI development. OpenAI Proposes AI Action Plan to Boost U.S.

ETL 52

ETL Prompt Engineering Prompt Engineer Data Science 52

Unite.AI

JUNE 2, 2023

Statista reports that by 2024, the global AI market will generate a staggering revenue of around $3000 billion, compared to $126 billion in 2015. However, tech leaders are now warning us about the various risks of AI. These AI-backed developments are vulnerable due to many AI shortcomings that malicious agents can expose.

Responsible AI 231

Responsible AI AI AI AI Developer 231

Unite.AI

MARCH 8, 2024

The potential applications include real-time decision-making for robots, swift medical diagnoses, and serving as a crucial link between artificial intelligence and the intricacies of biological systems. Customized Chatbots are leading in a new era of AI development by democratizing access.

Neural Network 279

Neural Network Chatbots Artificial Intelligence Artificial Intelligence 279

NVIDIA

JULY 29, 2024

The NVIDIA OpenUSD NIM microservices work together with the world’s first generative AI models for OpenUSD development — also developed by NVIDIA — to enable developers to incorporate generative AI copilots and agents into USD workflows and broaden the possibilities of 3D worlds.

Generative AI 126

Generative AI Visual AI Robotics Computer Vision 126

Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries.

Natural Language Processing 52

Natural Language Processing Computer Vision Robotics Machine Learning 52

Aiiot Talk

JUNE 16, 2023

AI systems’ ability to process massive volumes of data can strain conventional privacy norms.” Moreover, AI’s ability to “de-anonymize” data provides another challenge. Even if the information is anonymized, sophisticated AI models can cross-reference it with other sources to identify individuals.

Artificial Intelligence 246

Artificial Intelligence Artificial Intelligence AI AI 246

Unite.AI

AUGUST 27, 2024

The choice of programming language in Artificial Intelligence (AI) development plays a vital role in determining the efficiency and success of a project. These languages impact everything from the performance and scalability of AI systems to the speed at which solutions can be developed and deployed.

Python 130

Python Deep Learning Robotics AI 130

Pickl AI

DECEMBER 29, 2024

Core areas like linear algebra, calculus, and probability empower AI models to process data, optimise solutions, and make accurate predictions. Building robust and scalable AI solutions would be impossible without a solid foundation in mathematics for Artificial Intelligence.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Unite.AI

OCTOBER 10, 2024

Addressing the Multimodal Data Crisis The growth of AI has led to an explosion in the generation of multimodal data across industries such as e-commerce, healthcare, retail, agriculture, and visual inspection. This inefficiency often hampers AI development, leading to longer project timelines and lower returns on investment.

Metadata 147

Metadata Machine Learning Robotics Computer Vision 147