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Category: robotics/AI – Page 1,077

World’s first bladder transplant will be performed by both human and robot surgeons

For the first time in human history, doctors will transplant a human bladder from a deceased person to an alive patient using surgery robots.

A team of urologists at Keck Medicine of the University of South California (USC) is conducting a clinical trial that will soon lead to the first-ever bladder transplant operation in humans. The doctors are currently in the process of selecting participants for their trials.

If successful, such operations would provide relief to millions of people around the globe who live with bladder-related disorders.

Georgiy Datsenko/iStock.

Amnesty uses AI-generated images to portray Colombian protests, draws criticism

The Colombian protests began on April 28, 2021, sparked by a tax reform opposed by the working class and middle-class Colombians.

Amnesty International’s use of AI generated images to commemorate the second anniversary of Colombian protests has sparked a debate over the credibility of advocacy groups and media organizations in their coverage of war-inflicted zones.

Amnesty’s Norway regional account posted three images in a series of tweets. The first depicted a crowd of armor-clad police officers; the second featured a police officer with a red splotch on his face, and the third of a protester being dragged away by police officials.

Amnesty International/Twitter.

Neural networks on photonic chips: Harnessing light for ultra-fast and low-power artificial intelligence

Neural networks are distributed computing structures inspired by the structure of a biological brain and aim to achieve cognitive performance comparable to that of humans but in a much shorter time.

These technologies now form the basis of machine learning and that can perceive the environment and adapt their own behavior by analyzing the effects of previous actions and working autonomously. They are used in many areas of application, such as speech and image recognition and synthesis, autonomous driving and augmented reality systems, bioinformatics, genetic and molecular sequencing, and high-performance computing technologies.

Compared to conventional computing approaches, in order to perform complex functions, neural networks need to be initially “trained” with a large amount of known information that the network then uses to adapt by learning from experience. Training is an extremely energy-intensive process and as computing power increases, the neural networks’ consumption grows very rapidly, doubling every six months or so.

5 skills that AI will never replace

In light of these changes, there is growing concern about the future of employment worldwide. Surveys suggest that one-fourth of all jobs are at risk of being automated, which understandably makes people worry about job security. However, there is evidence to suggest that the impact of automation may not be as dire as some may fear.

Contrary to popular belief, the automation of jobs is not necessarily synonymous with the elimination of jobs. Instead, it is likely to change the nature of occupations by taking over easy and repetitive tasks, which will free up employees to focus on work that requires higher-level interpersonal skills. This shift is expected to create a demand for workers who are skilled in areas such as communication, problem-solving, and critical thinking.

In conclusion, the nature of labor is evolving at an unprecedented pace due to the rise of technology. Automation and AI are transforming the types of jobs available in many industries, creating new opportunities for workers with higher-level skills. Although there may be concerns about job security, the impact of automation is expected to change rather than eliminate occupations, providing a chance for workers to develop new skills and remain relevant in an ever-changing job market.

Imperfection is not a problem for artificial synapses

Using a strategy that mimics the encoding of information in our brains, a trio of researchers in China has proposed a new platform for artificial intelligence (AI) that could be far more robust than existing architectures. The approach, which has yet to be implemented in the lab, exploits the inevitable non-uniformity of artificial neurons that are a result of defects in real magnetic materials.

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The research was done by Zhe Yuan, Ya Qiao and Yajun Zhang at the Center for Advanced Quantum Studies and Department of Physics at Beijing Normal University.

Chegg stock plunges on AI threat to new user growth

Some companies are negatively impacted by the appearance of ChatGPT and similar AI.

CNBC’s Deirdre Bosa reports on Chegg as the shares of a California education company dropped more than 40%. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.

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