US hid location trackers in AI chip shipments to spot diversions to China: Report.
Some chip shipments delivered from the United States to other locations had tracking devices, according to a report.
People familiar with the matter told a UK-based news agency that the location tracking devices were placed in shipments at high risk of illegal diversion to China.
The step reportedly aimed to restrict AI chip exports to destinations under the US administration’s curbs.
New AI method speeds up calculations to protect fusion reactors from plasma heat.
Scientists in the US have introduced a novel artificial intelligence (AI) approach that can protect fusion reactors from the extreme heat generated by plasma.
The new method, which is called HEAT-ML, was developed by researchers from Commonwealth Fusion Systems (CFS), the US Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), and Oak Ridge National Laboratory.
It is reportedly capable of quickly identifying magnetic shadows, which are critical areas protected from the intense heat of the plasma, and therefore help prevent potential problems before they start.
Chinese researchers unveil 10x larger atom array for next-gen quantum processors.
Scientists in China have achieved a significant breakthrough in advancing quantum physics.
A team of researchers has developed the largest array of atoms for quantum computing.
The key component for a quantum computer is reportedly capable of creating arrays 10 times larger than previous systems.
AI-powered brain implant restores speech in paralysis patient after 18 years.
UC Berkeley and UCSF use AI-driven brain-computer interface to restore near real-time speech in paralysis patient.
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A new software tool developed by Cornell researchers can model a small city’s building energy use within minutes on a standard laptop, then run simulations to help policymakers prioritize the most cost-effective approaches to decarbonization.
Using the City of Ithaca, New York, as a case study, the urban building energy model quickly mapped more than 5,000 residential and commercial buildings and their baseline energy use. Simulated investments in weatherization, electric heat pumps and rooftop solar panels, while also factoring in financial incentives, generated insights that are informing city efforts to achieve carbon neutrality by 2030.
The tool’s automated workflow, accessibility and accuracy—without advanced computing power—could be particularly valuable for smaller cities that lack resources and expertise dedicated to decarbonization, the researchers said. But they said the new model—now also supporting the county that surrounds Ithaca—could be further scaled up to serve big cities or an entire state.