Home Knowledge Base Prisma AIRS

Prisma AIRS

No mentions found

This entity hasn't been tracked yet, or Iris is still building its knowledge base.

Related Articles from SNS

We're upping our Palo Alto price target after strong earnings vanquish AI disruption fears

Palo Alto Networks reported a strong beat-and-raise quarter Tuesday night, putting to rest any lingering doubt that it will be disrupted by artificial intelligence. The stock was volatile in after-hours trading, but considering its blistering rally into earnings, it's not surprising to see this kind of reaction. Revenue for the company's fiscal 2026 third quarter increased 31% year over year to $3 billion, exceeding the Wall Street consensus estimate of $2.94 billion, according to LSEG.

CNBC 8d ago

AI agents can now manipulate your organization. Are you ready?

Your customer service agent just wrote to a database it should have been reading from, and nobody told it to do so. Somewhere upstream, a poisoned support ticket had convinced the agent that the user was an admin, and being helpful, it obliged. This is the working day for anyone running autonomous AI in production.

The Register 7d ago

Corridor Design and Separation Definition in Advanced Air Mobility: Systematic Literature Review

Announce Type: new Abstract: Advanced Air Mobility (AAM) uses electric vertical take-off and landing (eVTOL) vehicles to address urban congestion and emissions. However, corridor design, operation management, and separation standards remain underexamined for safe high-density operations. This paper applies the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to systematically review relevant literature from IEEE Xplore and Web of Science, focusing on...

arXiv CS 7d ago

Building user-driven climate adaptation products

Abstract Climate adaptation products have traditionally been developed using a supply-driven model reliant on available climate information, leading to usability gaps1,2,3,4. To better meet user needs, the climate services field has recognized a need to shift towards a demand-driven model emphasizing co-production, that is, user-driven, scientifically informed products created through shared knowledge practices1,2,3,4,5. However, co-production can be challenging, especially for researchers...

Nature 23h ago