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A small group of economists from Italy, the U.K., and the U.S. has published a Policy Forum piece in the journal Science suggesting that consumers need to be protected from collusive price setting by AI systems. They also outline some possible ways to solve the problem.

For most countries, price collusion is illegal. It is where two or more makers or sellers of goods get together and agree to charge higher than market prices for the goods or services they are selling. Such practices are illegal because consumers wind up paying higher prices than they would if prices were market based. In their paper the economists reveal that many large corporations have taken to using computer systems with an AI component to set their prices. Using computers to set prices is not new, of course, some companies sell hundreds of thousands of products. Using computers to help set prices saves a lot of time and money. But until now, such systems have been constrained by the laws in which the companies operate—such laws can be baked in. But now, the authors contend, things have begun to change. AI systems have found, through learned experience, that uncommunicated collusion can lead to higher profits.

As humans, we all enjoy a code of universal human rights. In the future, the question will pop up sooner or later: do AI deserve the same rights we enjoy? In this video, we will explore this question and examine what the future world will look like if AI do have rights.

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In videos past of this deep learning series, we have going from learning about the origins of the field of deep learning to how the structure of the neural network was conceived, along with working through an intuitive example covering the fundamentals of deep learning.

The focus of this video then will be to tie up many of the loose ends from those videos, and really delve into some of the complexities of deep learning!

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A material that mimics human skin in strength, stretchability and sensitivity could be used to collect biological data in real time. Electronic skin, or e-skin, may play an important role in next-generation prosthetics, personalized medicine, soft robotics and artificial intelligence.

“The ideal e-skin will mimic the many natural functions of human skin, such as sensing temperature and touch, accurately and in real time,” says KAUST postdoc Yichen Cai. However, making suitably flexible electronics that can perform such delicate tasks while also enduring the bumps and scrapes of everyday life is challenging, and each material involved must be carefully engineered.

Most e-skins are made by layering an active nanomaterial (the sensor) on a stretchy surface that attaches to human skin. However, the connection between these layers is often too weak, which reduces the durability and sensitivity of the material; alternatively, if it is too strong, flexibility becomes limited, making it more likely to crack and break the circuit.

Artificial intelligence is being applied to virtually every aspect of our work and recreational lives. From determining calculations for the construction of towering skyscrapers to designing and building cruise ships the size of football fields, AI is increasingly playing a key role in the most massive projects.

But sometimes, all we want to do is move a can of beans.

According to a recently published abstract by researchers at the University of California, Berkeley, they have developed a mechanism that “couples a perception pipeline predicting a target occupancy support distribution with a mechanical search policy that sequentially selects occluding objects to push to the side to reveal the target as efficiently as possible.”

They can check you in and deliver orange juice to your hotel room, answer your questions about a missing package, whip up sushi and pack up thousands of subscription boxes. And, perhaps most importantly, they are completely immune to Covid-19. While people have had a hard time in the coronavirus pandemic, robots are having a moment.

The Covid-19 pandemic has left millions of Americans unemployed – disproportionately those in the service industries where women and people of color make up the largest share of the labor force. In October, 11 million people were unemployed in the US, compared with about 6 million people who were without a job during the same time last year.

Over the past few decades, artificial intelligence (AI) tools have been used to analyze data or complete basic tasks in an increasing number of fields, ranging from computer science to manufacturing, medicine, physics, biology and even artistic disciplines. Researchers at University of Michigan have recently been investigating the use of artificial intelligence (AI) in architecture. Their most recent paper, published in the International Journal of Architectural Computing, specifically explores the potential of AI as a tool to create new architectural designs.

“My partner, Sandra Manninger, and myself, have a long-standing obsession with the idea to cross pollinate the fields of and AI,” Matias del Campo, one of the researchers who carried out the study, told Tech Xplore. “We first got in touch with AI research in 1998, when we were introduced to the OFAI (The Austrian Institute of Artificial Intelligence) through a mutual friend, Dr. Arthur Flexer and we held the first course in Machine Learning for Architecture at the University of Applied Arts in Vienna, in 2006.”

Several years after they first became interested in the potential uses of AI in architecture, del Campo and Manninger started collaborating with the Robotics Department at University of Michigan. Working with Jessy Grizzle, the department’s director, and Alexandra Carlson, one of her Ph.D. students, they were able to significantly expand their research. Their study featured in the International Journal of Architectural Computing is the latest of a series of research efforts in which they investigated the use of AI techniques for designing architectural solutions.