7 Machine Learning Trends to Watch in 2025
Machine learning is now the cornerstone of recent technological progress, which is especially true for the current generative AI stampede.
Machine learning is now the cornerstone of recent technological progress, which is especially true for the current generative AI stampede.
In a recent survey, 82% of tech executives said they intend to integrate AI agents across their stacks within the next three years.Read More
An innovative new coldbrew machine makes for wonderfully frothy nitro and espresso martinis. But is the flavor fully cooked?
Telegram chatbots are rapidly gaining traction, with over 1.5 million bots already created. As one of the fastest-growing messaging platforms, Telegram boasts a user base exceeding 550 million globally, offering businesses an unparalleled opportunity to engage with their audience effectively. In an era where customers prefer direct communication, research from Social Media Today reveals that …
Read more “Telegram Chatbots: Are They a Good Fit for Your Business?”
One of the most talked-about niches in tech is machine learning (ML), as developments in this area are expected to have a significant impact on IT as well as other industries.
NVIDIA’s AI Podcast gives listeners the inside scoop on the ways AI is transforming nearly every industry. Since the show’s debut in 2016, it’s garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive technology for the visually impaired, wildfire alert systems and the Roblox …
Read more “Have You Heard? 5 AI Podcast Episodes Listeners Loved in 2024”
Key predictions from data infrastructure industry experts and vendors to help enterprises tap the AI opportunity for growth in 2025.Read More
This smart temperature-control mattress cover helps you stay cooler, or cozier, to get a better night’s sleep.
Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited data. This can aid in the discovery of materials with desired properties, such as semiconductors.
There will be no single model that will rule the universe, neither next year nor next decade. Instead, the future of AI will be multi-model. Read More