venturebeat
The AI visualization tech stack: From 2D to holograms

Presented by Avalon HolographicsThe pace of AI continues to be staggering. From simple pattern recognition systems to large language models (LLMs), and now as we move into the physical AI reality, the power of these systems continues to improve our lives. But humans always need to be in the loop. We need to see the data, interact with it, and identify the simulation-to-reality gaps; we need to help these systems help us. Spatial computing has traditionally been in the realm of human understanding; we now share this space with AI. Understanding the different ways humans should interact with 3D data helps guide the medium where we can get the best from AI. 1. The 2D screen: the precision desktopThe 2D screen has been the reliable workhorse since spatial computing started and continues to be [...]

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venturebeat
5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity [...]

Match Score: 46.06

Destination
Is it quantum-resistant? Researchers create 'uncrackable' encryption system by pairing AI and holograms produced by laser

Greek scientists combine AI and laser holograms to create an "uncrackable" encryption system. [...]

Match Score: 39.72

qz
It’s time for all politicians to start campaigning via holograms

Forget a hologram for the king, what about a hologram of the king? [...]

Match Score: 26.48

venturebeat
Nvidia's agentic AI stack is the first major platform to ship with security at launch, but governance gaps remain

For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]

Match Score: 25.88

venturebeat
The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs

Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model [...]

Match Score: 25.88

Destination
watchOS 26 preview: It's the little things

At WWDC 2025, Apple announced it was replacing the sequential numbering for OS versions and with year numbers. So instead of watchOS 12, I’ve spent the past two weeks with the public beta of watchOS [...]

Match Score: 23.10

venturebeat
Simplifying the AI stack: The key to scalable, portable intelligence from cloud to edge

Presented by ArmA simpler software stack is the key to portable, scalable AI across cloud and edge. AI is now powering real-world applications, yet fragmented software stacks are holding it back. Deve [...]

Match Score: 23.06

venturebeat
Running Claude Code or Claude in Chrome? Here's the audit matrix for every blind spot your security stack misses

Between May 6 and 7, four security research teams published findings about Anthropic’s Claude that most outlets covered as three separate stories. One involved a water utility in Mexico, another tar [...]

Match Score: 23.01

venturebeat
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]

Match Score: 23.01