NVIDIA launches DAQIRI platform for real-time data acquisition with AI

Key Takeaways

NVIDIA Unveils Real-Time AI for High-Speed Data Acquisition

NVIDIA has launched its new DAQIRI platform that uses AI for real-time data acquisition. This software-centric tool helps scientists and engineers process data faster and make decisions in real-time. It works with various detectors and sensors, enabling direct streaming of data to GPU memory for immediate AI processing. The platform is part of NVIDIA's Holoscan, which includes tools like TensorRT and nvCOMP for tasks such as filtering, inference, and compression. The A-GHOST project at CERN is already using DAQIRI to analyze previously discarded data streams with advanced AI models.

NVIDIA Accelerates Scientific Discoveries with New AI Software

NVIDIA has introduced new AI software to speed up scientific discoveries in fields like chemistry, materials simulation, and astronomy. The software includes the NVIDIA DAQIRI library, ALCHEMI NIM microservices, and cuPhoton reference code. These tools enable real-time data acquisition, simulation, and analysis, reducing processing times from hours or days to near real-time. Scientists at Princeton and Harvard Universities will use cuPhoton to process massive data collected from observatories and dark energy surveys.

AI Cheating Wars: Universities Face Growing Academic Integrity Crisis

Universities in the US are facing a growing crisis of AI cheating. Professors are using extreme measures to prevent deception, such as requiring students to take online exams with their arms crossed or using mirrors to reflect their workspace. However, these measures are leading to false accusations and students are being unfairly disciplined. AI detection software is also producing false positives, adding to the problem. Experts say that the underlying issue is a lack of trust between students and faculty.

Anthropic Criticizes US Export Controls on AI Models

Anthropic, an AI research company, has criticized the US government's directive to suspend access to its advanced AI models for foreign nationals. The company argues that this move could hinder the deployment of new frontier models across the industry and undermine free speech. Anthropic suggests that AI firms should consider relocating operations outside the US to protect their ability to operate freely.

Security Risks of Vibe-Coded Apps

Vibe-coded apps, created using AI tools, pose significant security risks. These apps can be easy to build but difficult to secure, especially when handling sensitive data. Experts warn that personal apps can drift into business software without proper standards, increasing security risks. Developers are advised to consider threat models and ensure apps are secure before deployment.

AI Changes What You Ship and What You Have to Secure

The integration of AI in software development has changed what teams ship and what they have to secure. AI-generated code requires verification and validation, while AI systems need to be tested for security vulnerabilities. The industry is drawing categories around AI security the wrong way, leading to confusion and overlap. A new approach is needed to address AI security risks.

Chef Robotics Hires Nicolas De Keijser as VP of Sales

Chef Robotics has appointed Nicolas De Keijser as Vice President of Sales to accelerate enterprise adoption of its physical AI technology. De Keijser brings over six years of experience from Boston Dynamics and 12 years from ABB. He will lead Chef's commercial organization and expand its presence among enterprise food manufacturers.

Ford Motor GC to Law Firms: Adopt AI Faster

Ford Motor's General Counsel is urging law firms to adopt AI technology faster to remain competitive. AI is disrupting the market for legal services, and Ford's legal team is innovating with AI to increase productivity. External counsel who deploy AI quickly will be rewarded with a larger book of business.

Nexentis Taps Boltz AI for Drug Discovery

Nexentis has partnered with Boltz AI to screen transporter targets for new drug leads. The collaboration combines MitoCareX's MITOLINE algorithm platform with Boltz's foundation models for predicting biomolecular structure and binding affinity. The goal is to improve hit identification and accelerate drug discovery.

AI-Generated Images Undermine Trust in Science

AI-generated images are becoming increasingly sophisticated, making it difficult to distinguish them from real ones. This poses a serious threat to the trustworthiness of scientific research, as fake images can be used to create fake scientific studies. Experts are calling for solutions such as digital watermarking and AI-powered tools to detect fake images.

Google DeepMind Partners with Film and TV Production Company A24

Google DeepMind has partnered with A24, a film and TV production company, to develop AI-powered video generation tools. The partnership aims to embed AI technology in film and TV production, with Google making a direct investment in A24 as part of the deal. The goal is to create new tools for the entertainment industry.

Sources

• Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI
• From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries
• Inside college AI cheating wars: extreme surveillance, false accusations, jarring confusion
• Anthropic criticizes US export controls on AI models, urges firms to relocate
• Read this before you vibe-code another app
• AI changed what you ship. It also changed what you have to secure.
• Chef Robotics Hires Nicolas De Keijser as VP of Sales to Accelerate Enterprise Adoption of Physical AI
• Ford Motor GC to Law Firms: We Are Outpacing Your AI Adoption
• Nexentis taps Boltz AI to screen transporter targets for new drug leads
• Anyone can fake a scientific image with AI, tricking even academic journals -- and undermining trust in science
• Google DeepMind Announces Partnership With Film And TV Production Company A24