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TensorRT Model Connect: NVIDIA Brings Native AI Inference in C++ Directly from Hugging Face, No Extra Steps Required
NVIDIA’s TensorRT Model Connect radically simplifies the conversion of Hugging Face models into native C++ inference artifacts, eliminating intermediate steps and accelerating enterprise-scale AI deployment. This open-source tool reduces costs and complexity, enabling rapid integration of high-performance AI into business applications.
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Qwen3.8-27B: How the 27B Parameter AI Model Is Rewriting the Rules for Enterprises – Locally, Without the Cloud
Qwen3.8-27B is an open-source AI model with 27 billion parameters that can be run locally, without the cloud. It provides companies with advanced programming and reasoning capabilities, offering major benefits in privacy, cost, and innovation. This launch marks a key moment for the democratization of AI in the enterprise environment.
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MIT’s Revolutionary Lidar Chip: How It Will Transform Perception and Safety in Autonomous Vehicles
MIT researchers have created a solid-state lidar chip that promises to revolutionize perception and safety in autonomous vehicles. The new technology reduces costs, increases reliability, and facilitates AI integration into real-time decision-making processes. This breakthrough could accelerate the widespread adoption of autonomous transport.
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AI Designs Bacteriophages to Combat Infections: How Stanford’s Evo 2 Model Is Changing the Rules in Biotechnology
Stanford’s Evo 2 AI model has generated new bacteriophages, 16 of which proved effective against E. coli in the lab. This approach combines generative AI with experimental validation, accelerating the discovery of treatments for antibiotic-resistant infections. The study marks a major step toward AI-assisted personalized medicine.
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Article 50 of the AI Act: How New Transparency Rules Are Changing the Game for Companies Using Generative AI
Article 50 of the AI Act imposes new transparency requirements on companies in the EU regarding the use of generative AI. Adapting to these rules is essential to avoid penalties and can become a competitive advantage for organizations that prioritize ethics and digital trust.
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Why LLM Models Cannot Be Fully Secured: A Fundamental Vulnerability Explained
A recently identified structural vulnerability makes it impossible to fully secure LLM models using classical methods. Organizations must adopt new risk management strategies when integrating LLMs into critical processes. Understanding this limitation is essential for responsible AI decisions.
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Tabular LLMs: How Foundation Models Can Revolutionize Business Data Analysis
Tabular LLMs can automatically interpret and complete tabular data without additional training, surpassing classical machine learning methods. These models open new possibilities for automating analysis and reporting in business, integrating AI directly into popular tools like Excel or Power BI. A true revolution for professionals working with data.
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NVIDIA Cosmos 3 Edge: The AI Revolution Bringing Robotic Intelligence Directly On-Device
NVIDIA Cosmos 3 Edge brings advanced AI processing directly to edge devices, eliminating cloud dependency and reducing latency. This model opens new opportunities for intelligent automation in robotics, logistics, and industry, increasing security and operational efficiency.
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GPT-Red: The AI Super-Hacker from OpenAI Redefining LLM Security
OpenAI has launched GPT-Red, an AI model specialized in identifying vulnerabilities in LLMs by simulating sophisticated attacks. GPT-Red has outperformed human red-teaming teams and opens new perspectives for large-scale AI security. Automated defensive testing is becoming a key pillar for risk management in the era of artificial intelligence.
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AI in June 2026
If May 2026 was about integrating AI into products and applications, June brought a new theme: control. While AI kept advancing rapidly, discussions on security, access, limits, controlled rollout, and governance became much more prominent. In June 2026, the focus was not just on more powerful models, but on who controls them and how they…
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