For example, an agent building recruitment software might favor male over female candidates because of biases in the data used to train, or improve, the software. Therefore, we need to put mechanisms ...

Whether your industry is market research, healthcare, finance or another data-intensive field, these principles can help ensure success in deploying AI agents.

Learn how to build scalable AI software architecture with strategies for transitioning from mono repo to poly repo and ...

Anthropic, the Amazon-backed AI startup founded by ex-OpenAI research executives, released its Computer Use tool in October.

Led by a former OpenAI executive, Amazon’s AI lab focuses on the decisionmaking capabilities of next-generation software ...

Here’s how one company is already using the tools designed to help businesses create helpful AI agents. Earlier this week ... a group of OpenAI employees introduced the Agents software development kit ...

The responsibility of building trust in AI requires a collaborative effort among software developers, governments, industry ...

Stick to the fundamental software development principles ... longer be necessary for application development. "AI today is pretty good at building simple apps -- getting about 80% of the ...

Two words are practically ubiquitous in technology discussions these days: artificial intelligence and cloud. At last week’s ...

The secret is software — which ... Where it doesn’t have exact information, its AI uses clues to infer what might be lurking in the walls. For example, a house built in the 1950s likely ...

The vibe coding era, in which AI is automating more of the work of software engineers, is raising questions about which ...

The EHR vendor is building AI that can identify care gaps and proactively ... generative AI is to help streamline workflows, make the software easier, simpler, faster and more helpful when it ...