The integration of chatbots and AI in financial advice could soon replace 80% of advisers, freeing them up for more personalized client interactions. Find out how this could change the industry.
Discover how researchers have combined machine learning and design experiments to create a sustainable and effective electrospinning process for producing nanofibers. Their system uses response surface methodology (RSM) to estimate diameter and locally weighted kernel partial least squares regression (LW-KPLSR) to predict nanofiber membrane diameter, resulting in significantly lower mean absolute and root mean square errors. This innovative approach opens new possibilities for electrospinning technology applications in various fields, including biomedical, tissue engineering, environmental engineering, and mechanical engineering.
Researchers used machine learning to find human activity is contributing to the rise of salinity and alkalinity in U.S. rivers. Learn more about their surprising findings here.
Make sure your machine learning models are safe and predictable with Deepchecks' open-source tool. Backed by $14M in seed funding, it offers comprehensive validation for optimal deployment and operation. Trusted by AWS, Booking.com, and Wix.
Discover how China is closing the technology gap with the US in artificial intelligence (AI) through generative AI and new infrastructure investments. Learn more here.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?