With new funding, simmetry.ai plans to develop a scalable platform for generating synthetic training data, aimed at helping ...

Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

You just had to get lucky and hope that the document ID that you were looking at contains what you’re looking for,” said Igel ...

As AI becomes more embedded in clinical workflows, nursing leaders are clear on one point: AI will not replace clinicians. But clinicians who know how to use AI — and leaders who know how to govern it ...

Today, everyone connected to the AI industry is talking about physical AI. The term has rapidly moved from niche discussions into the mainstream agenda. Illustrative example: NVIDIA has placed ...

Face morphing attacks have become a serious threat to biometric security systems, including those used at border crossings to match passports with faces.

xAI has an initiative (using Tesla AI4 hardware) to create AI that fully emulates human computer work. It will work like ...

AI and robotics are converging faster than ever, turning once future concepts—autonomous delivery robots, smart factories, and real-time computer vision—into ...

Hyderabad: The Union Budget 2026–27 has underscored the Centre’s renewed focus on workforce development through enhanced skilling and apprenticeship initiatives aimed at making training ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

Artificial intelligence (AI) Enhanced service robotics is rapidly shifting from experimental prototypes toward real-world commercial deployment. The shift is driven by labor shortages, rising ...