Cybersecurity stocks tumbled after Anthropic unveiled a new vulnerability scanner, prompting vendors to defend their runtime ...

Applying the notion of reasonable foreseeability to multi-use AI systems. AI systems are finding uses far from their original intended purposes. These multiple uses raise hard ethical questions for AI ...

Nutshell reports that choosing a simple CRM involves matching industry needs, prioritizing core features, and testing user experience for effective adoption.

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...

Rising artificial intelligence infrastructure budgets, as well as breakthroughs from generative AI models, have triggered a ...

Agentic AI systems have gone mainstream over the past year. They are now being used for several functions, including authenticating users, moving capital, triggering compliance workflows, and ...

The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Researchers show that Tesla’s Model 3 and Cybertruck can be manipulated through internal network access, raising major concerns about cybersecurity in modern connected vehicles.

We now live in an SDV world. Here, consumers and market competition increasingly demand continuous innovation, performance ...

These days, most businesses use a bunch of different software. It’s great for doing specific jobs, but they don’t always talk to each other nicely. That’s where integration software examples come in.

The adoption of automation in software testing presents challenges that can hinder its effectiveness and scalability. This study systematically investigates these challenges using a multi-phase ...