IT stocks globally have been under pressure for months, due to fears of AI affecting future business growth. The latest crash in prices comes on the back of Anthropic rolling out new legal tools for ...

New AI tools from Anthropic sparked a broad sell-off in software and data stocks. Executives say fears are overblown, but analysts warn of margin and pricing pressure. Investors are reassessing which ...

At WSJ Invest Live, Jon Gray shared optimism for the health of the private-credit market and discussed Blackstone’s investment strategy in AI infrastructure. Investors’ fears that new developments in ...

With nearly two decades of retail and project management experience, Brett Day can simplify traditional and Agile project management philosophies and methodologies and explain the features of project ...

Constellation Software, Inc. is a holding company. The firm acquires, manages and builds vertical market software businesses. It operates through the following segments: Public and Private Sector. The ...

We test and rate the top video editing software for every type of user, from casual family event videographers to social media posters to studio professionals. I’ve been writing and editing technology ...

From customer support to internal IT management, help desk software keeps everything running smoothly. We've put the top solutions to the test to help you choose the right one for your small business.

Your PC’s storage media is subject to malware and, on occasion, natural disasters such as lightning, fire, etc. — which is why formulating a backup strategy is critical for keeping your data safe. Our ...

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ZDNET experts put every product through rigorous testing and research to curate the best options for you. If you buy through our links, we may earn a commission. Learn Our Process 'ZDNET Recommends': ...

During the Cold War, the specter of a nuclear “dead man’s switch” was central to the concept of Mutually Assured Destruction (MAD). In the event that one side was annihilated by the other, an ...

Estimating parameters for distributed hydrological models is challenging, especially in regions with limited data. Here the authors employ variational autoencoders to generate optimal parameter ...