Without trustworthy data, the effectiveness of AI and ML solutions is negated, and rather than being an instrument for insightful decision-making, it becomes a source of faulty business decisions and frustrated stakeholders. Data validation is a critical first step in building reliable systems.
Weather forecasting is not a perfect science, but Google's new weather model, GenCast, is becoming a force to be reckoned with.
AI and machine learning are bound to evolve, and their impact on cybersecurity will only grow. Their potential is limitless, from improving decision-making to customer experiences and even sustainability.
Diana Velychko, a Fulbright master’s student in artificial intelligence, is paving the way for more intuitive artificial intelligence (AI) systems.
In fact, 48% of businesses have found AI to be useful, and it’s mostly for one purpose in particular—code reviews. AI-driven code review tools are increasingly being adopted by developers looking to boost their productivity without sacrificing code quality and ‘tidiness.’
Instead of finding true medical insights, these algorithms sometimes rely on irrelevant factors — leading to misleading results.
The AI model can solve a range of whole-body control tasks ... Adversarial data are inputs to machine learning models, which a programmer has purposely designed to cause the model to make a mistake. The company noted that Explore Theory-of-Mind generates ...
Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while maintaining its overall accuracy.
A new report graded companies including Meta, Anthropic, and OpenAI on their AI safety measures. Many were found lacking.
In this Q&A, Darcy MacClaren, SAP's chief revenue officer of digital supply chain, explains what companies need to know about AI, how to balance cost with innovation and what the optimal "anti-fragile" supply chain looks like. Most Read on Manufacturing.net
Discover how AI tools revolutionize web development, streamlining tasks, enhancing design, boosting productivity,
Himanshu Sinha is a globally recognized thought leader in AI and data science, currently serving as the Director of Advanced Data Science at Marriott International. An AI innovator with deep-learning based patent to his name and a published author of the best-selling book “Cognitive Horizons: Navigating the Landscape of Artificial Intelligence”  His book is widely