Google had removed the ability to uninstall updates for system apps via the Play Store. Users had to visit app settings in the settings menu to uninstall system app updates. The change appears to have ...

In this tutorial, we explore how we can orchestrate a team of specialized AI agents locally using an efficient manager-agent architecture powered by TinyLlama. We walk through how we build structured ...

Fastbreak AI, a firm that specializes in sports scheduling optimization, is raising $40 million in new funding as artificial intelligence services get more integrated into sports leagues around the ...

Michelle Ehrhardt is Lifehacker's Associate Tech Editor. She has a bachelor's degree in history from Earlham College, where she also double majored in theatre. She also holds an MFA in game design ...

Chinese tech giant Alibaba has revealed a powerful new system that slashes the cost of running artificial intelligence by up to 82 percent. The technology, called Aegaeon, addresses a critical ...

Gain a strategic advantage in upstream operations by learning how unified planning and scheduling drives confident, effective decisions—read now for real-world examples from leading operators showing ...

Last month, OpenAI published a usage study showing that nearly 15 percent of work-related conversations on ChatGPT had to deal with “making decisions and solving problems.” Now comes word that at ...

The only thing you need to carve a spoon is a spoon. Republican Sen. Thom Tillis vows to block Trump's Fed nominees following Powell probe Trump says credit card firms violate law if rates not capped ...

A confusing contradiction is unfolding in companies embracing generative AI tools: while workers are largely following mandates to embrace the technology, few are seeing it create real value. Consider ...

There are more possible NBA schedule combinations than there are atoms in the sun. That’s not hyperbole—it’s the mathematical reality facing anyone trying to arrange 1,230 games across 30 teams over ...

Abstract: Model-free deep reinforcement learning has emerged as a promising method for addressing the scheduling challenges in integrated energy systems. However, uncertainty in system states ...