Fudan University's new guidelines specify that course teaching teams can use AI to optimize course module divisions, learning ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
Large language models have grown so vast and complex that even the people who build them no longer fully understand how they work. A single modern ...
As AI-powered cyberattacks become even more autonomous and widespread, cybersecurity teams will need to adapt by becoming ...
Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
The source of many disagreements is that people rely, often implicitly, on two radically different notions of “intelligence." ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Artificial Intelligence in Energy Market was valued at USD 3904 Million in the year 2024 and is projected to reach a revised size of USD 11720 Million by 2031, growing at a CAGR of 17.3% during the ...
Fudan University's new document specifies that course teaching teams can use AI to optimize course module divisions, learning task designs, and activity process arrangements, creating a more cohesive ...
AI has already impacted the hobby for pricing, identification and, to a lesser extent, grading. Pricing data can be scrubbed ...
Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback