Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...

Tennessee’s legislature recently overwhelmingly passed the Success Sequence Act, requiring public schools to teach about the positive outcomes of a life path that goes, in order: graduation from high ...

These modules can be edited by users to define additional functionality and test protocol schemes, or may be used as-is to test network parameters and topologies. Code for the experiments performed in ...

The rise of high-speed internet in the early 2000s transformed the global labor market for high-skilled labor. As email, instant messaging, and voice over internet calling (e.g., Skype) became ...

AI is rapidly transforming the world of business as it becomes increasingly woven into the fabric of organizations and the day-to-day lives of customers. However the speed of this transformation ...

Initially designed for continuous control tasks, Proximal Policy Optimization (PPO) has become widely used in reinforcement learning (RL) applications, including fine-tuning generative models. However ...

It’s got a great cast. It looks cinematic. It’s, um … fine. And it’s everywhere. Credit...Photo Illustration by Alex Merto Supported by By James Poniewozik A few years ago, “Atlanta” and “PEN15” were ...