Contributor Content Finance professionals are increasingly using algorithmic trading tools to predict market behavior and suggest optimal investment decisions. However, while most of these models are ...

A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...

Zebra has a global manufacturing and selling footprint and previously faced risk from its reliance on Chinese manufacturing. However, Zebra has alleviated this pressure in recent years and now has ...

Datadog DDOG has expanded its cloud monitoring platform with the acquisition of Metaplane, a company that specializes in end-to-end data observability. Metaplane’s machine learning-powered tools help ...

A new deep learning method called DLE-EM accelerates SEM imaging of geological materials by up to 16×, enabling large-scale, ...

As a construction/mining machinery manufacturer, Hitachi Construction Machinery’s, or HCM’s, lifeline will be from sales of its mainstay hydraulic excavators, mining dump trucks, and wheel loaders.

DeepMind's CaMeL approach has demonstrated strong performance against prompt injection attacks in the AgentDojo benchmark by ...

The School of Computational Science and Engineering (CSE) is one unit that reinforces the College’s emphasis on collaboration ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

View software available in the Integrated Systems Biology and AI — Tailored Pharmacology and Precision Medicine Lab led by Hu ...

measures put in place to prevent the spread of COVID-19 posed unprecedented disruptions for youth aged 15 to 29 with the shift to virtual learning, loss of employment opportunities and the decline of ...