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 [...]
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 [...]
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 [...]
Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x redu [...]
OpenAI on Monday launched a set of interactive visual tools inside ChatGPT that let users manipulate mathematical and scientific formulas in real time — a genuinely impressive education feature that [...]
The Dfinity Foundation on Wednesday released Caffeine, an artificial intelligence platform that allows users to build and deploy web applications through natural language conversation alone, bypassing [...]
For the past year, enterprise decision-makers have faced a rigid architectural trade-off in voice AI: adopt a "Native" speech-to-speech (S2S) model for speed and emotional fidelity, or stick [...]
For four weeks starting January 21, Microsoft's Copilot read and summarized confidential emails despite every sensitivity label and DLP policy telling it not to. The enforcement points broke insi [...]