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One of the many questions I almost always get when talking to organizations about RPA -the other one I covered in the column about Automation Anxiety-: Isn’t RPA just a band aid?

Artificial intelligence is providing new opportunities in a range of fields, from business to industrial design to entertainment. But how about civil engineering and city planning? How might machine- and deep-learning help us create safer, more sustainable, and resilient built environments?

A recent paper by researchers from the University of Wisconsin-Madison addresses the use-phase implications of autonomous vehicles using a stated preference survey to reveal the potential users of autonomous vehicles and the resulting level of competition with traditional modes of transport.

UiPath announced their UiPath Platform 21.4 release, supporting among other things AI-powered automation discovery. The new Task Mining solution uses machine learning models to pinpoint the most frequent task patterns from data and identify repetitive activities that could be automated without interrupting employees’ work.

Growing its Artificial Intelligence (AI) portfolio Ingram Micro announced an expanded, and now global, business relationship with UiPath. Ingram Micro’s relationship with UiPath started in India in 2018 and was quickly followed by China. Currently, the relationship is now expanded to North America and Latin America as well as Europe, Middle East, Africa, and the remainder of Asia Pacific.

Clinicians and surgeons are increasingly using medical devices based on artificial intelligence. These AI devices, which rely on data-driven algorithms to inform health care decisions, presently aid in diagnosing cancers, heart conditions and diseases of the eye, with many more applications on the way. Given this surge in AI, two Stanford University faculty members are calling for efforts to ensure that this technology does not exacerbate existing heath care disparities.

US Air Force announced it conducted a 2 hour and 10 minute flight test of the Skyborg autonomy core system, or ACS, aboard a Kratos UTAP-22 tactical unmanned vehicle at Tyndall Air Force Base, Florida. Follow-on events will demonstrate direct manned and unmanned teaming between aircraft and multiple ACS-controlled unmanned aircraft.

More and more companies are using automation solutions such as robots to support their employees in their work. This trend is veering away from single projects towards end-to-end automation. But who is going to do that? In practice, the employees themselves can be an important factor in the adoption of automation and in scaling it up to innovate with data and AI.

2B0 announces it is developing recycling robots for homes, offices and retail locations to automate recycling. Users can put their recyclables into the 2B0 IoT (Internet of Things) robot which uses AI to automatically recognize, sort and process the material.

How to predict the sound produced by a tonewood block once carved into the shape of a violin plate? What is the best shape for the best sound? Artificial Intelligence offer answers to these questions. These are the conclusions that researchers of the Musical Acoustics Lab of Politecnico di Milano presented in a study that was recently published on Nature Scientific Reports.