AI

Humans expect that AI is Benevolent and trustworthy. A new study reveals that at the same time humans are unwilling to cooperate and compromise with machines. They even exploit them.

Ever since the world’s first ever microscope was invented in 1590 by Hans and Zacharias Janssen –a Dutch father and son– our curiosity for what goes on at the tiniest scales has led to development of increasingly powerful devices. Fast forward to 2021, we not only have optical microscopy methods that allow us to see tiny particles in higher resolution than ever before, we also have non-optical techniques, such as scanning force microscopes, with which researchers can construct detailed maps of a range of physical and chemical properties.

Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical decision-making to improve patient outcomes. From diagnosing disease, to personalizing treatment, to predicting complications from surgery, AI could become as integral to patient care in the future as imaging and laboratory tests are today.

Communities benefit from sharing knowledge and experience among their members. Following a similar principle – called “swarm learning” – an international research team has trained artificial intelligence algorithms to detect blood cancer, lung diseases and COVID-19 in data stored in a decentralized fashion.

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.

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?

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.

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.