1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Inside a vast, hangar-like building in Devens, a trio of employees are working to test and assemble the pieces of what is likely one of the most advanced machines being built on Earth. One part of a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

A study suggests that the first of seven key pyramids in Egypt, the Step Pyramid of Djoser, was built using a hydraulic lift. Dated to about 4,500 years ago, this would move up the introduction of ...

Across the U.S. healthcare system, stakeholders—primarily members, employers, providers and payers—face mounting frustrations in an increasingly complicated and disconnected industry. Consider a ...

Abstract: This paper focuses on solving the linear quadratic regulator problem for discrete-time linear systems without knowing system matrices. The classical Q-learning methods for linear systems can ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

Ford has launched two AI systems to help factory workers find minor parts problems. The system checks if the correct trim parts are added to each vehicle and if each electrical connection is fully ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

Choosing between linear and rotary indexers for an automated assembly application depends primarily on the size of the product and the space available on the plant floor. Most products assembled on ...

One of the pitches for investing heavily in AI—especially resource-intensive versions such as large language models (LLMs)—is the argument that these powerful technologies have the potential to help ...