Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or vibrations, can be significantly more energy-efficient than digital computers, ...

Probabilistic Ising machines (PIMs) are advanced and specialized computing systems that could tackle computationally hard problems, such as optimization or integer factorization tasks, more ...

Overview AI growth in 2025 relies heavily on large, open, and legal datasets.Combining text and image data enables smarter, more creative AI models.Public acces ...

A Confluent technology strategist explains why multi-agent workflows become brittle monoliths and how access to real-time, streaming data is key to the success of agentic AI deployments ...

A recent study claims to have utilized mathematics to determine when Homer really wrote the Iliad. How did this work, and is it trustworthy?

How humans move is an open question, according to Mark Latash, distinguished professor of kinesiology at Penn State.

IBM & HSBC report the first quantum edge in finance, as Heron processors deliver 34% better algorithmic accuracy on bond trading data with a hybrid set-up ...

In a rapidly developing world of technology and cybercrime, western Canada’s data is set to get a whole lot safer.

Morey walks us through a live demo of the tool, showing how it helps organizations detect misconfigurations, privilege escalation paths, and even compromised credentials circulating on the dark web.

Canada and other OECD countries’ plans to test students’ AI literacy in 2029 threatens to obscure essential questions about the marketing of AI.

MIT researchers developed a framework that can help engineers design systems that involve many interconnected parts in a way that explicitly accounts for the uncertainty in each component’s ...