Etiquetas: physical AI

New York‑based Antioch, a simulation platform for robot developers, announced an $8.5 million seed round that values the company at $60 million. Led by A* and Category Ventures, the round also includes MaC Venture Capital, Abstract, Box Group and Icehouse Ventures. Antioch’s technology aims to shrink the "sim‑to‑real" gap that hampers autonomous systems, letting engineers train robots in high‑fidelity virtual warehouses instead of costly physical testbeds. The funding will accelerate product development and expand the startup’s customer base, which already includes several large multinationals. Leer más

Enterprises that proved AI can work are now focusing on responsible, economical, and repeatable deployment. Leaders are asking about cost, governance, and real‑world impact as AI moves beyond customer service into core operations. Four trends dominate: responsible AI and trust‑building, industry‑tuned models, AI factories that standardize deployment, and AI‑led legacy modernization. Organizations that adopt these approaches will turn AI experiments into durable competitive advantage. Leer más

Physical AI embeds artificial intelligence in machines that can sense their surroundings, make real‑time decisions, and act in the physical world. From autonomous vehicles and warehouse robots to surgical assistants and smart‑city systems, these technologies blend sensors, computer vision, machine learning, and reinforcement learning to close the perception‑decision‑action loop. While early deployments already exist, challenges around safety, reliability, edge‑case handling, and costly real‑world training remain central as the field pushes toward broader, embodied AI applications. Leer más

Intrinsic, the Alphabet "Other Bets" robotics venture, will become a distinct group within Google. The move positions the company to use Google Cloud, Gemini models and DeepMind expertise while continuing its mission to make robot software affordable and easy to use. Intrinsic describes its platform as “the Android of robotics,” offering a universal canvas for developers to create applications for a variety of robots, sensors and cameras. The integration aims to accelerate physical AI development for manufacturing and other real‑world tasks. Leer más

While large language models like ChatGPT and Gemini dominate today’s AI products, industry leaders are turning toward world models that encode the physical world’s laws, objects and movement. These models aim to power realistic video, surgical robots and self‑driving cars, forging a new era of "physical AI." Prominent figures such as Yann LeCun, Fei‑Fei Li and Nvidia’s Jensen Huang are championing spatial intelligence and synthetic data as the foundation for this shift. Leer más

In 2026 the artificial‑intelligence industry is moving from large‑scale hype toward practical applications. Experts highlight a turn toward smaller, fine‑tuned language models, the rise of world models that understand 3D environments, and new standards like the Model Context Protocol that connect AI agents to real‑world tools. Physical AI devices—including smart glasses, wearables, robotics and autonomous vehicles—are set to become mainstream as edge computing and cost‑effective models enable on‑device inference. The overall tone is optimistic, emphasizing AI as an augmenting partner for humans rather than a replacement. Leer más

Nvidia announced a new open‑source vision‑language model called Alpamayo‑R1 at the NeurIPS AI conference. Designed for autonomous‑driving research, the model builds on Nvidia’s Cosmos‑Reason architecture and aims to give self‑driving systems common‑sense reasoning. Nvidia also released a set of developer guides known as the Cosmos Cookbook, and made the model available on GitHub and Hugging Face. Executives highlighted the importance of physical AI for the next wave of robotics and autonomous technologies. Leer más

Bone AI, a Seoul‑Palo Alto startup founded by former MarqVision co‑founder DK Lee, raised a $12 million seed round led by Third Prime with strategic investment from Kolon Group. The company is building a unified AI platform that combines software, hardware and manufacturing to create autonomous aerial, ground and marine systems for defense and government customers. Early contracts, including a seven‑figure B2G deal and participation in a Korean government logistics program, demonstrate rapid market traction. Bone AI’s acquisition of drone maker D‑Makers and its focus on a “physical AI” supply chain aim to position South Korea as a hub for next‑generation defense robotics. Leer más

SoftBank is purchasing ABB’s robotics division for $5.4 billion, a move the company says will cement its focus on "Physical AI." Founder Masayoshi Son described the acquisition as a step toward a new frontier in artificial intelligence. The deal, which still requires regulatory approval, adds to SoftBank’s existing robotics holdings, including stakes in Skild, AutoStore Holdings and Agile Robots, and aligns with its broader investment strategy in chips, data centers, energy and generative AI technologies. Leer más

Major AI companies are channeling resources into world models as large language model advances plateau. Runway introduced a video‑generation product that uses world models for real‑time gaming scenes. Niantic leverages data from its long‑running games, including Pokémon Go, to map millions of locations for its spatial AI platform. Nvidia’s Omniverse platform underpins physical AI efforts, aiming to boost robotics and simulation capabilities. Executives from Runway, Niantic, and Nvidia emphasize the strategic importance of these models for diverse industries, despite predictions that fully human‑level AI may still be years away. Leer más