News
The first available use case for BeeKeeper, Mount Sinai and Morehouse is for chronic heart failure (CHF). AI model developers ...
A/B testing, a common method of comparison used by digital marketers, can help L&D leaders determine whether trainings are ...
Behind A/B testing lies a strategic approach that is reshaping how modern products are designed, refined and launched.
Yandex has published Yambda (Yandex Music Billion-Interactions Dataset), the world's largest currently available open dataset for recommender systems, containing nearly 5 billion anonymized user ...
The artificial intelligence (AI) market is expanding. Statista has calculated that the number of AI tool users will increase ...
Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...
Many AI models have been raising concerns about bias and privacy. The EU enforces strict regulations for transparency, while ...
Explore the 10 biggest challenges of generative AI, from ethical dilemmas to environmental impacts. Are we ready for its ...
Discover how to test your AI-powered SaaS concept overnight with vibe coding and AI-driven insights. Save time and make ...
3d
AZoBuild on MSNAI Models Predict Concrete Strength Using Recycled Glass, Boosting Green ConstructionA study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...
Opinion
1dOpinion
The Hechinger Report on MSNOPINION: Educators have the tools but not the training or ethical framework to use AI wisely. And that’s a problemThe use of AI in education has risks, but it could help personalize learning and free teachers to spend more time doing what only humans can do: connect, mentor, care. Let’s ensure we get this right — ...
While enterprise AI presents opportunities to achieve business goals in a way not previously conceived, one should also understand and mitigate potential risks associated with its development and use.
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