DSDE: Emerging Technology

Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input.

When the world reopens, it will be flooded with the opportunities and tools that extended-reality platforms have to offer.

When the field emerged at the end of the 20th century, it was hoped that computers would be able to operate on their own, with human-like abilities—a capability known as generalized AI.

As deep learning matures and moves from the hype peak to its trough of disillusionment, it is becoming clear that it is missing some fundamental components.

MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.

Easily accessible data can help field workers do their jobs more safely and efficiently. A new paper by Cognite and Aker BP explores how to manage this digital transformation.

Despite getting less attention, the systems-level design and engineering challenges in machine learning are still very important. Creating something useful requires more than building good models; it requires building good systems.

Artificial intelligence may never match the human brain.

Artificial intelligence and emerging technologies such as virtual personal assistants and chatbots are rapidly making headway into the workplace. Research and advisory company Gartner predicts that, by 2024, these technologies will replace almost 69% of the manager’s workload.

The report on unmanned aerial vehicles in industry presents overarching themes and concerns, including navigating regulations, finding the right technology, and finding ways to educate the public about drone operations.