Specialized extracellular matrix structures known as perineuronal nets surround the soma and dendrites of many CNS neurons. Fawcett and colleagues provide an update on our current understanding of perineuronal net composition, formation and functional roles in brain function and disease.

The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.

The initial equity funders in Stargate are SoftBank, OpenAI, Oracle, and MGX. SoftBank and OpenAI are the lead partners for Stargate, with SoftBank having financial responsibility and OpenAI having operational responsibility. Masayoshi Son will be the chairman.

Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and we are evaluating potential sites across the country for more campuses as we finalize definitive agreements.

Trump—flanked by larry ellison, sam altman, & masayoshi son—announces project stargate.

Trump announces Project Stargate, a $500 billion initiative backed by major tech leaders, aimed at revolutionizing U.S. AI infrastructure, creating jobs, and enhancing healthcare through advanced technologies. AI Infrastructure and Economic Impact.

Project Stargate, a $500+ billion AI infrastructure initiative, aims to construct colossal data centers and physical campuses across the US, potentially creating over 100,000 American jobs.

The project will build physical and virtual infrastructure to power next-generation AI advancements, with Oracle, SoftBank, and Microsoft as key partners, establishing a new US-centered industry. ## Healthcare Applications.

S AI will enhance healthcare by providing doctors with condition-specific treatment plans based on data from top hospitals like Memorial Sloan Kettering and Stanford. ” + s cancer research focuses on early detection via blood tests, personalized vaccines designed using AI in 48 hours, and robotically-produced mRNA vaccines. ” +## Technological Advancements.

S AI-driven approach promises to accelerate cancer treatment development, potentially leading to unprecedented cure rates. ” + The initiative will leverage AI to improve electronic health records, benefiting patients in underserved areas like Indian River Reservation.

President Trump, flanked by top tech executives and AI experts, announces a major new AI initiative called Project Stargate.

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EngineAI’s latest video leaves viewers in awe as the SE01 humanoid robot demonstrates a walk so natural, it was first mistaken for CGI.

Neuralink continues its push in the brain-computer interface space with a third implant, while competitors and researchers accelerate advancements globally.

The world’s fastest supercomputer ‘El Capitan’ can reach a peak performance of 2.746 exaFLOPS, making it the planet’s third exascale computer.

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Individual cells in the brain light up for specific ideas. These concept neurons, once known as “Jennifer Aniston cells,” help us think, imagine and remember episodes from our lives.

Our research ecosystem isn’t built to deliver the breakthroughs needed to understand intelligence at scale. We need a dedicated research institution to take up the task.

Molecules haven’t been used in quantum computing, even though they have the potential to make the ultra-high-speed experimental technology even faster. Their rich internal structures were seen as too complicated, too delicate, too unpredictable to manage, so smaller particles have been used.

But a team of Harvard scientists has succeeded for the first time in trapping molecules to perform quantum operations. This feat was accomplished by using ultra-cold polar molecules as qubits, or the fundamental units of information that power the technology. The findings, recently published in the journal Nature, open new realms of possibility for harnessing the complexity of molecular structures for future applications.

“As a field we have been trying to do this for 20 years,” said senior co-author Kang-Kuen Ni, Theodore William Richards Professor of Chemistry and professor of physics. “And we’ve finally been able to do it.”