The fog that often encases the city in the morning has lifted, opening up spectacular views of Golden Gate and its eponymous ...

A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...

Abstract: With the widespread adoption of advanced driving systems (ADS), these systems must cope with increasingly complex driving scenarios. However, data-driven deep learning models heavily rely on ...

Students at Clymer Central School are now able to take the test to earn their driver’s learning permits through the Automated Knowledge Testing System. Students are able to take the test with ...

Abstract: Autonomous driving in extreme conditions presents substantial challenges in ensuring vehicle stability and safety. Traditional reinforcement learning (RL) methods for decision-making often ...

Amazon’s new Alexa.com portal brings the AI-powered Alexa+ assistant to the desktop browser. Amazon is quietly rolling out the last big pillar of its AI-powered Alexa+ vision: the Alexa.com website, ...

CNET’s expert staff reviews and rates dozens of new products and services each month, building on more than a quarter century of expertise. The new, large language model-fueled version of Alexa is ...

Amazon's new Echo Studio is one of two speakers that allow you to use Alexa Home Theater to its full potential. (Billy Steele for Engadget) When Amazon’s latest Echo speakers arrived in October, a ...

Turning 16 is a big deal for New York teens. Once that five turns into a six, they can apply for a learner permit — the first step on the path to getting behind the wheel. The partnership with the DMV ...

Amazon customers have already issued 2 million $5 "thank yous" to delivery drivers this holiday season, but the company is still suggesting customers can show appreciation by continuing to ask Alexa ...

We introduce PaCoRe (Parallel Coordinated Reasoning), a framework that shifts the driver of inference from sequential depth to coordinated parallel breadth, breaking the model context limitation and ...