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.
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.
Weather forecasting is not a perfect science, but Google's new weather model, GenCast, is becoming a force to be reckoned with.
So-called reasoning models like OpenAI's o1 look to be the next trend in AI. There's pros and cons to this, experts say.
Diana Velychko, a Fulbright master’s student in artificial intelligence, is paving the way for more intuitive artificial intelligence (AI) systems.
SportsLine AI evaluated the Week 15 NFL odds and revealed its NFL predictions, NFL score predictions, and NFL betting picks for every game
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 ...
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
A new report graded companies including Meta, Anthropic, and OpenAI on their AI safety measures. Many were found lacking.
Instead of finding true medical insights, these algorithms sometimes rely on irrelevant factors — leading to misleading results.
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
Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can support the early identification of potential attacks But what is anomaly detection?