Looking at degree attainment data, it might seem that we are set. But as with concerns about the impact of AI skilled jobs at risk, there is more to this story. The percentage of the U.S. population 25 and over who completed high school and college has risen dramatically over the past several decades. Yet, data from assessments of adult literacy and numeracy skills indicate that skill deficiencies are large, with half of Americans aged 16 to 34 lacking levels of literacy many experts deem critical for success in the labor market. "While many acknowledge that AI is increasingly important and its impacts increasingly stark, we must also reckon with the fact that too few of America's young adults are well positioned for the emerging jobs of 21st-century economy," he said.

Soft, edible robots that mimic real organisms could be used to deliver drugs to animals. That is just one potential application of a new material made from biodegradable gel. "The question is, could we develop a material that is, at the same time, very reliable while you use it, but once triggered can completely degrade?" says Martin Kaltenbrunner at Johannes Kepler University Linz in Austria. Kaltenbrunner and his colleagues created a gel out of ingredients that are safe to eat, including gelatine – which can be fully degraded by the body – citric acid to stop bacterial growth and glycerol for softness and to prevent dehydration. The biogel is designed to be eaten by bacteria commonly found in waste water, meaning it will break down naturally if it ends up in landfill, for instance, but remain stable otherwise.

An artificial intelligence can easily turn simple line sketches into realistic photographs. Lin Gao at the Chinese Academy of Sciences in Beijing and his colleagues have developed an algorithm that instantly turns a rudimentary line sketch of a person's face into a photo portrait. The AI doesn't require artistic expertise or coding skills to use.

With hours of extra time on their hands because of social distancing and quarantine, new players to Nintendo's "Animal Crossing: New Horizons" like Ash Wolf, also known on Twitter as Ninji, have been drawn to the slow, laid-back life simulator that allows them to build idyllic islands, decorate their homes, visit friends and more. "People are using this as a sort of escape," Wolf said. "I joked when I first got the game that it was literally the only thing giving me structure in my life." But this influx of new users produced an unexpected evolution, recalibrating the game's serene speed to a fast-paced hustle one player compared to Wall Street. Animal Crossing isn't designed for such gameplay -- in fact, it purposefully slows players down by design. Yet the game's community became obsessed with optimization, in the process exploiting features meant to encourage day-by-day progress. Now, they've become a dominant part of the audience, finding loopholes or strategies to get rich fast.

Law enforcement's use of facial recognition technology was always controversial. Amazon's surprise announcement that it would put a moratorium on police use of its facial recognition software for the next year underscores the big questions surrounding the technology as protests spark a nationwide debate about police brutality and surveillance tactics. Amazon's brief news release never mentioned the words George Floyd, but my Post colleague Jay Greene notes the company hinted that recent events drove this decision. "We've advocated that governments should put in place stronger regulations to govern the ethical use of facial recognition technology, and in recent days, Congress appears ready to take on this challenge," the company said in a statement. "We hope this one-year moratorium might give Congress enough time to implement appropriate rules, and we stand ready to help if requested."

When even the makers of face recognition refuse to sell this surveillance technology because it is so dangerous, lawmakers can no longer deny the threats to our rights and liberties,

That's why the announcements by IBM, Amazon and Microsoft were a success for activists -- a rare retreat by some of Silicon Valley's biggest names over a key new technology. This came from years of work by researchers including Joy Buolamwini to make the case that facial recognition software is biased. A test commissioned by the ACLU of Northern California found Amazon's software called Rekognition misidentified 28 lawmakers as people arrested in a crime. That happens in part because the systems are trained on data sets that are themselves skewed.

We seek to recruit a full-time postdoctoral Research Associate in Microbial genomics and Bioinformatics to work in the laboratory of Dr. Lauren Cowley on an Academy of Medical Sciences springboard scheme funded grant in collaboration with the Gastrointestinal Bacterial reference services at Public Health England (PHE). You will be working on novel machine learning models to predict geographical source attribution from sequencing data of Shiga-toxigenic Escherichia coli and Salmonella. You will be responsible for training, testing and development of prediction models on PHE provided sequencing data to help research the possibilities of using sequencing data to provide automatic prediction of where foodborne disease has originated from; either as a returning traveller, imported food or domestic case. The position is funded at £39,152 and we expect to appoint at this starting salary for a fixed-term period of 15 months. You should hold or be close to completing a PhD in microbiology, genomics, bioinformatics, computer science, applied mathematics or computational biology, with some experience in the development of machine learning prediction models and processing of large microbial sequencing datasets.

This workshop intends to facilitate the training and discourse amongst researchers interested in machine learning using Galaxy. It will be a one-week event, including webinar sessions in which we will introduce machine learning backgrounds and train researchers to use Galaxy for machine learning analysis. Every webinar session will be followed by a self-training day, in which experts will answer questions in a support channel and support on a peer-to-peer basis. The workshops will make use of the European Galaxy server and the Galaxy Training Material. Both will stay accessible and open after the training.

Suicide disproportionately affects LGBTQ youth. In the U.S. alone, more than 1.8 million LGBTQ youth between the ages of 13 and 24 seriously consider suicide or experience a significant crisis each year. Additionally, LGBTQ youth are over four times more likely to attempt suicide than their peers, while up to 50 percent of all trans people have made a suicide attempt--most before the age of 25. Black LGBTQ young people are even more impacted as they hold multiple marginalized identities, and research shows that Black youth ages five to 12 are dying by suicide at roughly twice the rate of their white peers. To support this particularly vulnerable and diverse community, The Trevor Project takes an intersectional approach to crisis intervention and suicide prevention.