InfoWorld AI·
For a decade, confidential computing has been chipping away at one of security’s hardest problems: data is well encrypted in transit and at rest, but when a processor works on it, that data sits in memory in the clear, exposed to anyone with privileged host access. “Confidential computing’s aim was to solve this with a trusted execution environment, a subset of the CPU that runs the encrypted workload and handles things like memory encryption,” said Marina Moore, lead security researcher at Edera. For years the field felt like post-quantum cryptography PhD research scientist types agreeing the work is essential, while waiting for it to reach mainstream practitioners. At the Confidential Computing Summit in San Francisco this week, the breakout use case came into focus: agentic AI. Like the web before HTTPS “I was in the really early days of HTTP, and then HTTPS came along pretty quickly,” said Mike Bursell, executive director of the Confidential Computing Consortium. He sees agentic AI
Read full articleNEW YORK, June 25, 2026 — Qualcomm Incorporated has announced that it has reached an agreement to acquire Modular Inc, strengthening Qualcomm Technologies, Inc.’s software foundation for generative and agentic AI […] The post Qualcomm Strengthens Data Center AI Push with Modular Acquisition appeared first on AIwire.
AI and digital platforms are revolutionising public services in India, enhancing efficiency in solar installations and subsidy delivery. Experts discuss the transformative role of agentic AI, facilitating faster citizen services while addressing structural inefficiencies in government processes.
The loop takes agentic AI a step further, by authorizing a swarm of agents to work continuously in the background, endlessly.
Agentic AI is not failing because the technology is bad. It is failing because of five specific misconceptions that teams carry into their first deployments and each one is correctable.
The next era of AI will not be defined by compute alone. Its growth will be determined by energy. As accelerated computing scales across AI factories, agentic AI, industrial AI, edge computing and physical AI — including robotics and autonomous systems — global electricity demand is rising at unprecedented speed. In many regions, expanding grid […]
Arcium's $ARX token launch highlights the growing importance of confidential computing in blockchain, potentially driving future DeFi innovations. The post Arcium launches $ARX token with $400M FDV and $95M market cap appeared first on Crypto Briefing.
Exclusive: While recruits will increase headcount for now, broader adoption of AI could lead to jobs cuts in future Lloyds Banking Group has launched an AI recruitment drive for 300 tech experts, weeks before its chief executive, Charlie Nunn, unveils a strategic plan for the 261-year old lender. The bank said it intended the recruits to work on its use and development of agentic AI by September, referring to autonomous artificial intelligence models that can plan and execute tasks with minimal human oversight. Continue reading...
As AI shifts from output-generating large language models (LLMs) to armies of agents taking actions on their own, there is a growing threat that failures could affect system reliability. Temporal, a Bellevue, WA firm founded in 2019, hopes to solve that problem by stabilizing AI and long-running computing processes through “durable execution,” a technology that reliably resurrects failed computing processes on other hosts. If a machine crashes in the middle of agentic AI transactions, the company resurrects the function on a different host so it can continue exactly where it left off. Temporal says its durable execution process comes with a 100% durability guarantee. The company was solving these kinds of distributed-systems problems long before the generative AI (genAI) rush, and today it powers infrastructure from Coinbase to Airbnb to OpenAI. For IT decision-makers, Temporal’s offerings promise to bring reliability to AI operations — especially in regulated industries. Co-founder Sa
