Compute
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
China plans compute futures in Shanghai as AI computing demand surges
China is preparing to launch compute futures in Shanghai, signalling a push to link financial markets to computing power as the global AI boom drives new demand for digital infrastructure. The Shanghai municipal government has released guidelines stating the new financial derivative would form part of efforts to turn the city into a global wealth management hub. It is the first time Shanghai’s authorities have explicitly mentioned compute futures in an official document.
CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation
arXiv:2606.02781v1 Announce Type: new Abstract: Deep neural networks (DNNs) have achieved state-of-the-art performance across diverse domains. However, typical Von Neumann compute paradigms face severe memory bottlenecks. Emerging near-memory and compute-in-memory approaches alleviate this but incur significant peripheral overhead.
Microsoft, Atom Computing, EeroQ update their quantum computing progress
With dozens of companies, from small startups to tech giants, pursuing quantum computing, there's a steady flow of results as they try to find a path to utility. We typically focus on new technologies and major landmarks, which can obscure the fact that any big success will inevitably have been built on a lot of incremental progress. The past few weeks have seen a number of companies release progress reports on how they're trying to get the technologies closer to general use.
CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
arXiv:2601.09923v3 Announce Type: replace Abstract: AI agents are vulnerable to prompt injection attacks, where malicious content hijacks agent behavior. Among proposed defenses, architectural isolation provides the strongest guarantees by strictly separating trusted task planning from untrusted environment observations. However, applying this design to Computer Use Agents (CUAs), which automate tasks by viewing screens and executing actions, presents a fundamental challenge.
Microsoft, Atom Computing, EeroQ update their quantum computing progress
With dozens of companies, from small startups to tech giants, pursuing quantum computing, there's a steady flow of results as they try to find a path to utility. We typically focus on new technologies and major landmarks, which can obscure the fact that any big success will inevitably have been built on a lot of incremental progress. The past few weeks have seen a number of companies release progress reports on how they're trying to get the technologies closer to general use.
Nvidia unveils new chip to bring AI directly to personal computers
Nvidia unveils new chip to bring AI directly to personal computers Nvidia’s new chip will power new Windows laptop and desktop computer models to make ‘AI personal computers’. Nvidia is set to bring artificial intelligence to laptop and desktop computers with brands like Microsoft and Dell later this year as the US tech giant broadens its AI presence. The Santa Clara, California-based AI chipmaker unveiled on Monday at its annual Nvidia GTC event in Taipei new powerful chips that would bring...
SpaceX aims to launch orbital AI computing tests by end of next year, sources say
SpaceX aims to launch orbital AI computing tests by end of next year, sources say The orbital-compute effort is central to SpaceX's long-term growth pitch to investors, and the company claims in its IPO documents that it is "the only company with a commercially viable path to building orbital AI compute at scale". SpaceX executives say the company is aiming to launch initial demonstrations of space-based artificial intelligence computing infrastructure by late 2027, ahead of the "as early as...
China unveils world’s first superfast quantum memory, paving way for practical computing
China unveils world’s first superfast quantum memory, paving way for practical computing Advance establishes core element required for general-purpose quantum computing that can read massive amounts of data While quantum computers are expected to solve complex problems at speeds unattainable by traditional computers, they still need an efficient way to access classical data. Without a high-speed data interface, even the fastest quantum machine is slowed down when forced to process massive...
Subspace-selective unitary manipulation based on the Hilbert-space symmetric structures in the multiple-quantum operator algebra spaces in the quantum-computing speedup theory
Announce Type: cross Abstract: The quantum-computing speedup theory considers the symmetric structures and properties of quantum systems as the fundamental Quantum-Computing-Speedup (QCS) resources which are responsible for exponentially speeding up quantum computing and simulating. At present a large and important problem is how to make use of the fundamental QCS resources to speed up essentially quantum computing and simulating. Here the author makes a great effort toward solving this...
Subspace-selective unitary manipulation based on the Hilbert-space symmetric structures in the multiple-quantum operator algebra spaces in the quantum-computing speedup theory
arXiv:2606.03859v2 Announce Type: replace-cross Abstract: The quantum-computing speedup theory considers the symmetric structures and properties of quantum systems as the fundamental Quantum-Computing-Speedup (QCS) resources which are responsible for exponentially speeding up quantum computing and simulating. At present a large and important problem is how to make use of the fundamental QCS resources to speed up essentially quantum computing and simulating. Here the author makes a great...