As such, not every new AI product will succeed, some of those failures having already played out in a very public manner. Here are three AI products that crashed and burned in 2024. The Rabbit r1 debuted to a frenzy of interest in January,
Combining quantum science with machine learning has led to a model that can accurately measure how surfaces feel to the touch.
Leveraging artificial intelligence is a transformative solution to long-standing issues in healthcare data management and patient outcomes.
The financial industry has undergone a significant transformation in recent years, driven largely by advancements in artificial intelligence (AI) and machine learning (ML). These technologies have brought powerful predictive analytics to the forefront,
Quantum Machine Learning (QML) is pushing the boundaries of artificial intelligence, merging quantum mechanics with advanced algorithms to tackle complex problems with unmatched efficiency. Sunny Guntuka,
Deciding when to bring a hog to market has never been an easy task. To maximize profits, farmers must gauge changing animal weights, pork prices, feed costs, and pen space, while also keeping an inventory of ready-for-market pigs to meet long-term contractual obligations with meat processors.
Bluesky is already facing its first major AI scrape, despite the stance of its owners that it will never train generative AI on user data.
In this article, I share findings from my two decades of automation experience that landed me at the helm of the most impactful application of GenAI technologies today.
Google, Camden Council and Camden Learning have launched the London AI Campus, with the Prime Minister stating his support for the ground-breaking initiative to improve digital skills in the UK. The Campus,
British Prime Minister Keir Starmer on Wednesday opened London's first Google-funded AI Campus which aims to help young people develop skills in the rapidly developing technology.
FinTech Magazine looks at how generative AI and machine learning are transforming financial services as we head into
Uber is using gig workers to get into the AI labeling business, Bloomberg reports. It’s a sign that the ridehail and delivery company is interested in expanding its independent contractor-powered business model to meet the demands of the fast-growing world of machine learning and large-language models.