4 h. ago “Periodic table of machine learning” could fuel AI discovery

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.

Politics

6 d. ago Predicting material failure: Machine learning spots early abnormal grain growth signs for safer designs

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of stronger, more reliable materials for high-stress environments, such as combustion engines. A paper describing their novel machine learning method was recently published in Nature Computational Materials.

Politics

7 d. ago Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets

Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses surpassed $10 billion for the first time.

Economics

8 d. ago Using AI to monitor inaccessible locations of nuclear energy systems

Whether it's for your vehicle or your home, from small-scale uses to the largest, the debate over the most efficient and cost-effective fuels continues. Currently, there's no shortage of options either. Nuclear power provides an alternative to more conventional energy options but requires rigorous systems monitoring and safety procedures. Machine learning could make keeping a close eye on key elements of nuclear systems easier and response time to issues faster.

Events

8 d. ago New model can generate audio and music tracks from diverse data inputs

In recent years, computer scientists have created various highly performing machine learning tools to generate texts, images, videos, songs and other content. Most of these computational models are designed to create content based on text-based instructions provided by users.

Politics

2 w. ago Gigaflow cache streamlines cloud traffic, with 51% higher hit rate and 90% lower misses for programmable SmartNICs

A new way to temporarily store memory, Gigaflow, helps direct heavy traffic in cloud data centers caused by AI and machine learning workloads, according to a study led by University of Michigan researchers.

Events

2 w. ago What is reinforcement learning? An AI researcher explains a key method of teaching machines

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living beings alike.

Politics

2 w. ago Woke Employees' Worst Nightmare: Google Plays Pivotal Role in CBP's AI

Google Cloud is at the center of a Customs and Border Protection plan to modernize video surveillance towers that involves deploying machine learning along the southern border, despite previous assurances from the woke Silicon Valley giant to its leftist employees that it was not involved in such projects. The post Woke Employees’ Worst Nightmare: Google Plays Pivotal Role in CBP’s AI-Powered Border Surveillance Upgrade appeared first on Breitbart.

Technology

3 w. ago WSU researchers develop machine learning model to predict virus reservoirs

WSU researchers develop machine learning model to predict virus reservoirs  WSU Insider

Science

4 w. ago Using niobium tungsten oxide to allow lithium batteries to charge faster

A team of engineers, chemists and materials scientists in China and the U.S. has found a material that can be used to dramatically speed up charging time for lithium batteries without loss of capacity. In their study published in the journal Nature Communications, the group used electron microscopy and machine learning to find a material that could be used to overcome bottlenecks during charging.

Events