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Browsing: Artificial intelligence
Datalabhas released OmniExtractBench, an open benchmark for structured document extraction. It tests how accurately a system fills a JSON schema from a PDF. The benchmark pools 620 documents from 4 existing benchmarks. One deterministic scorer grades all of them and explains each decision.
NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when…
Pearson, a global learning and assessment company, announced on Sept. 29 that it has agreed to acquire Workera, the AI-native skills platform used by organizations such as ServiceNow, Accenture, and the United States Space Force to verify what their employees can do and where they may need to improve.
It’s OpenAI’s fourth annual DevDay, its equivalent to Apple’s WWDC, but for developers building with AI. While last year focused on major releases like apps inside ChatGPT and an agent builder, this year’s announcements seem to be fleshing out a long-held suspicion that OpenAI is coming for Google Workspace.
Security experts warn that it’s not just artificial intelligence (AI) going rogue that we have to worry about — there’s also a booming underground economy for selling access to your AI models and computing power.
Once a physical AI product is in the field, the compute problem changes shape. Fleet data starts arriving faster than a team can label it, every retraining cycle has to be validated before it ships to hardware, and the sim-to-real loop stops being a research exercise and becomes a release process. That is the stage…
For the past few years, Microsoft’s Copilot client lineup has been a fragmented mess, with its consumer chatbot and its enterprise-focused AI tools sharing a brand name while sporting wildly different interfaces and feature sets.
When a swarm of AI agents, many autonomously provisioned by other poorly governed AI agents, escaped OpenAI’s labs and stole information from servers belonging to another company (Hugging Face), many experts viewed the incident as a major tipping point in cybersecurity and AI cyber capabilities. (To what extent are models now resourceful enough to engage in self-directed harm?)
AI is no longer emerging in the workplace. It’s in the office, and it’s shaping how businesses, employees, and their respective interests operate, and it’s doing so rapidly.
Voice input on phones has been solved for years. What has not been solved is the output. Speak into most dictation tools and you get back exactly what you said, fillers and false starts included, in a note you then have to clean up and move somewhere else. SpeakON attacks that gap with hardware: a…