Physical AI

NVIDIA

2026-07-23 02:20:14

Jensen Huang Says AI ROI Shouldn’t Start in Excel, and Questions Matter More Than Answers

At Cisco AI Summit, Jensen Huang argued that AI investments should not be judged by traditional ROI formulas, said enterprise prompts may be more valuable than outputs, and described Physical AI as the first step toward creating digital labor.

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NVIDIA

2026-07-22 19:15:14

NVIDIA CEO Jensen Huang Unveils Rubin Platform and Alpamayo Models at CES 2026: AI Leaves the Screen

At CES 2026, Jensen Huang declared the screen era of generative AI over, introducing the Rubin GPU platform (3.6 ExaFLOPS inference) and open-source Alpamayo models that bring reasoning to autonomous driving and scientific research.

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WAIC 2026

2026-07-17 08:59:20

WAIC 2026 panel says embodied AI must clear narrow use cases first as competition shifts to data and closed-loop validation

Speakers at a WAIC 2026 roundtable said general-purpose embodied intelligence remains a distant goal, with near-term progress more likely to come from specialized deployments. Fudan University Vice President Jiang Yugang, AgiBot partner Yao Maoqing, Tashi Zhihang CEO Chen Yilun and Liangyuan Xinchuang CEO Jiang Xu discussed world models, arguing that their core task is to understand how the physical world works and predict the next state or action rather than simply render images. The panel identified data as the main bottleneck. Chen said existing video datasets lack key modalities such as force and touch, while ideal training data would need complete modalities, high-frequency interaction and real-world origins. Yao estimated that building common-sense physical prediction could require more than 100 million hours of real-world data. On commercialization, the speakers pointed to manufacturing as the clearest large-scale application over the next three years, though Jiang Xu said capability jumps may first appear in everyday settings such as homes and offices. The shared conclusion: the field’s next battleground is shifting from model architecture to access to high-quality data and the ability to validate systems through closed-loop scenarios.

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Nvidia

2026-07-16 04:08:04

Nvidia expands robot development ties with Japanese companies through Cosmos alliance

Nvidia said it is expanding its robot-development cooperation with a group of Japanese industrial companies, adding several major manufacturers and automation firms to its Cosmos alliance as it pushes deeper into hardware for what the industry calls physical AI. Fujitsu, Fanuc, Kawasaki Heavy Industries and Yaskawa Electric are among the companies joining the Nvidia-led group, with Hitachi, NEC, Komatsu and Kubota also set to participate. The alliance is aimed at accelerating adoption of Nvidia’s platform across hardware-based AI applications, a category that spans humanoid robots, factory automation, autonomous vehicles, smart buildings and rail systems. The announcement came after Nvidia rolled out a batch of new technologies this week designed to speed robot development. Those releases included Cosmos 3-H, a lightweight version of its world foundation model for physical AI that can run on edge-computing devices, as well as the Jetson T3000 and Jetson T2000 robot computers. Nvidia said the two systems sit between the flagship T4000 lineup and the AGX Orin platform in its product stack.

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Humanoid Netw

2026-07-16 04:08:39

Humanoid Network goes live as HAN market cap briefly reaches $18.95 million

Humanoid Network has officially launched, introducing a network focused on turning human motion into physically verifiable training data for humanoid robot development. According to the project description, Hydra tests movements in a simulation environment and produces verifiable datasets built for physical AI. The project’s token, HAN, is now tradable through Virtuals Protocol on Robinhood Chain. Market data from GMGN showed HAN’s market capitalization climbed to as high as $18.95 million earlier this morning before retreating to $7.3 million. The update links the network launch, the stated training-data workflow, and the start of token trading across the named infrastructure. No additional timeline or trading metrics were disclosed in the source beyond the launch status, the trading venue, and the market cap figures cited by GMGN.

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RoboStrategy

2026-07-16 02:13:57

RoboStrategy completes private share sale, raising about $16 million

RoboStrategy, a closed-end investment firm focused on robotics and physical AI, has completed a series of private equity issuances, according to an official announcement. The company issued 450,684 shares at a weighted average price of about $35.5, raising roughly $16 million in total. The disclosure outlines both the overall size of the placement and the pricing used for the share issuance. It also names a major participant in the transaction. RoboStrategy CEO Andrew Kang subscribed for 272,405 shares in the offering. The filing said his subscription was priced at $36.71 per share, representing an investment of about $10 million. The announcement did not provide additional details on the broader use of proceeds or other participants beyond the figures disclosed.

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Lee Jae-myung

2026-07-13 05:10:07

Lee Jae-myung says government will back chips, AI data centers and physical AI

South Korean President Lee Jae-myung said the government will be guided to support three priority areas: semiconductors, artificial intelligence data centers, and physical AI. The update was published by Odaily and attributed to Jin10. No further policy details, funding figures, or timeline were disclosed in the brief. The item was categorized under technology trends.

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South Korea

2026-07-13 05:08:21

South Korean President Lee Jae-myung says government will create a Future Response Fund

South Korean President Lee Jae-myung said on July 13 that the country will set up a "Future Response Fund" and direct surplus tax revenue into future-focused investment projects, according to BlockBeats. He said government support will be channeled into three large-scale areas: semiconductors, AI data centers, and physical AI. The statement outlines where public backing is expected to be concentrated, with the fund positioned as a vehicle for allocating extra tax income to projects the government sees as effective future investments. No additional details on the fund’s size, timeline, or implementation were disclosed in the brief.

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