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Japan's minister emphasizes need for Nvidia GPUs for AI ecosystem, signaling strong government-backed demand.
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Tigress Financial Raises Intel Price Target to $145 on Terafab Partnership
Tigress Financial reiterated its Buy rating on Intel and raised its price target to $145 from $118 on September 15, citing the company's Terafab partnership with companies associated with Elon Musk, including SpaceX, Tesla, and xAI, as a strategic boost to its AI foundry ambitions. The initiative is part of an ambitious semiconductor manufacturing project focused on producing advanced chips for artificial intelligence, robotics, autonomous vehicles, and other compute-intensive applications. Intel said in its second-quarter earnings report that it remains well positioned to pursue sustainable growth through advanced packaging and its wafer foundry network, pointing to momentum in Physical AI and robotics with more than 130 customers testing its Core Ultra Series 3 and Core Series 3 processors for edge AI and robotics applications. The partnership's commercial terms, production volumes, and potential revenue contribution have not been fully disclosed, and the principal risk is that it could strengthen Intel's strategic position in foundry manufacturing without generating meaningful financial returns for several years. According to the Insider Monkey database, 138 hedge funds held stakes in Intel at the end of the second quarter, up from 112 funds in the first quarter, with SoftBank Group Corp. and Coatue Management among the notable institutional holders at approximately $12.14 billion and $1.68 billion, respectively, while roughly 152.25 million Intel shares were sold short as of August 31, representing about 3.02% of the public float.
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Microchip Technology's memBrain SAGE IP Selected by AnalogAI for Edge AI Processors
Microchip Technology has been selected by AnalogAI to supply its memBrain SAGE neuromorphic hardware IP for use in new edge AI processors. The collaboration centers on compute-in-memory technology targeting training and inference for adaptive robots, drones and vehicles, with AnalogAI planning to integrate memBrain SAGE into real-world, low-power AI systems designed for deployment at the network edge. Microchip Technology is a US-based semiconductor supplier with a roughly $38.5b market cap focused on smart, connected and secure embedded control solutions. The design win supports the edge-computing catalyst in the company's narrative, though analysts flag execution risk from competition, including edge-AI platforms from Nvidia and Qualcomm.
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Citrini Research Finds Humanoid Robots Advancing Without a Single ChatGPT Moment
Humanoid robots are making meaningful progress in autonomy, dexterity and repetitive real-world tasks, but widespread commercial deployment remains a work in progress, according to a report published Wednesday by Citrini Research. After a week meeting robotics labs, engineers and investors across the San Francisco Bay Area, the firm found most humanoid robots remain in development, training and tele-operated demonstrations, with real-world deployments closer to pilots than clear return-on-investment opportunities. The report examined whether robotics is approaching its own ChatGPT moment and highlighted advances from GeneralistAI and Skild AI, along with Figure AI's demonstration involving 250,000 packages, suggesting the field may advance through a mosaic of signals rather than one defining breakthrough. Basic humanoid locomotion is effectively a solved problem while complex dexterity remains more difficult, and simple repetitive tasks are already trainable. Investment in the broader robotics infrastructure is keeping pace: Tesla Inc has been preparing production lines for Optimus, XPeng Inc has launched an automated production line for its IRON humanoid robot, and Figure AI is securing access to up to 100,000 Vera Rubin GPUs from NVIDIA Corp to train the models powering its humanoid robots. The report concluded robotic autonomy is developing along a curve rather than arriving through one decisive breakthrough, with broad generalizability remaining the longer-term goal.