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.
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.
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.
Systems that operate on behalf of people or corporations are the latest product from the AI boom, but these “agents” may present new and unpredictable risks
SportsLine AI evaluated the Week 15 NFL odds and revealed its NFL predictions, NFL score predictions, and NFL betting picks for every game
Diana Velychko, a Fulbright master’s student in artificial intelligence, is paving the way for more intuitive artificial intelligence (AI) systems.
Discover how AI tools revolutionize web development, streamlining tasks, enhancing design, boosting productivity,
Instead of finding true medical insights, these algorithms sometimes rely on irrelevant factors — leading to misleading results.
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
“This goes beyond bias from clues of race or gender,” said Brandon Hill, a machine learning scientist and study co-author. “We found the algorithm could even learn to predict the year an X-ray was taken. It’s pernicious; when you prevent it from learning one of these elements, it will instead learn another it previously ignored.”
STMicroelectronics (NYSE:STM) is ready to launch its new series of microcontrollers with machine learning capabilities in high volumes. The Switzerland-based company said the STM32N6 microcontroller,