Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

Abstract: In many applications, security is a serious issue due to the high risk of cyber-attacks. An adversary can cause severe damage by providing wrong information about the system and consequently ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Google rolled out Gemini 3.1 Pro yesterday, touting a 77.1% score on novel logic puzzles that models can't just memorize—more than double 3 Pro's result—and record marks for expert-level scientific ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Mid-career workers are facing real anxiety about AI. Tackling that by upskilling has been a painful but rewarding process, says Liang Kaixin.

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...