Quantum computers could crack today’s encryption in hours. Post-quantum VPNs use hybrid encryption to protect your data from future attacks. The race to secure our digital future is already underway.
Mark Zuckerberg is doubling down on Meta’s AI investments despite investor skepticism. The company’s capital expenditures could reach $72 billion this year as it builds out massive computing infrastructure.
A new hardware attack called TEE.fail can defeat the latest trusted execution environments from all major chipmakers in just three minutes. The vulnerability exposes fundamental flaws in how security guarantees are communicated to enterprises.
Quantum computers face fundamental limitations beyond engineering challenges. New research suggests some questions may be physically unanswerable, raising profound implications for science and cryptography.
DeepSeek researchers have developed a radical new approach to AI memory that converts text into visual tokens. This innovation could dramatically reduce computational requirements while improving long-term context retention in language models.
Northern Powergrid’s massive £455M IT contract reveals how energy utilities are balancing legacy infrastructure with digital transformation. The decade-long framework signals fundamental shifts in critical infrastructure management.
Anthropic has reportedly signed a landmark agreement with Google to access up to 1 million AI chips in a deal valued at tens of billions of dollars. The computing power arrangement represents one of the largest AI infrastructure partnerships to date, positioning Anthropic to significantly scale its Claude chatbot capabilities against competitors like OpenAI.
In what industry analysts are calling one of the most significant AI infrastructure deals of the year, Anthropic has reportedly secured a multibillion-dollar agreement with Google to dramatically expand its computing capacity. According to sources familiar with the arrangement, the AI startup will gain access to up to 1 million of Google’s specialized Tensor Processing Units (TPUs) – a computing commitment that underscores the staggering resource requirements of today’s advanced AI systems.
Anthropic has reportedly secured a massive computing agreement with Google Cloud valued in the tens of billions of dollars. The deal provides the AI company with unprecedented access to Google’s custom AI accelerator chips. This expansion comes as Anthropic maintains its existing partnerships with other cloud providers.
In what industry analysts are calling one of the largest AI infrastructure deals to date, Anthropic has reportedly secured a multi-billion dollar agreement with Google Cloud that provides access to an extraordinary scale of computing power. According to sources familiar with the arrangement, the deal includes access to up to one million of Google’s custom Tensor Processing Unit (TPU) AI accelerators specifically designed for artificial intelligence workloads.
Researchers are increasingly looking to ferroelectric materials to bridge the growing performance gap in traditional computing architectures. These specialized materials can emulate the temporal dynamics of biological neurons and synapses while consuming significantly less energy than existing memory technologies. The development could potentially unlock new computing paradigms beyond the limitations of current CMOS-based systems.
As the semiconductor industry grapples with the slowing pace of traditional computing improvements, emerging research points to ferroelectric materials as a potential breakthrough for brain-inspired computing systems. According to recent analysis in Nature Reviews Electrical Engineering, these specialized materials are showing remarkable promise for creating neuromorphic devices that closely mimic biological neural processes.
NextSilicon is deploying its adaptive computing hardware in real-world systems through the Vanguard-2 supercomputing program. The company claims its chips deliver significantly better performance per watt than competing solutions from Nvidia and Intel.
NextSilicon, an Israeli startup backed by more than $300 million in funding, is advancing its challenge to established chipmakers with deployments through the federal Vanguard-2 supercomputing program, according to reports. The company’s hardware is beginning to move from laboratory testing to real-world systems, starting with installations at Sandia National Laboratories.
