Like humans, pigs have idiosyncratic faces, and new players in the Chinese pork market are taking notice, experimenting with increasingly sophisticated versions of facial recognition software for pigs. China is the world's largest exporter of pork, and is set to increase production next year by 9%. As the nation's pork farms grow in scale, more farmers are turning to AI systems like facial recognition technology – known as FRT – to continuously monitor, identify, and even feed their herds. This automated style of farming has the potential to be safer, cheaper and generally more effective: In 2018, pig farmers in China's Guangxi province trialling FRT found that it slashed costs, cut down on breeding time, and improved welfare outcomes for the pigs themselves. But it also has the potential to leave behind independent, small-scale farmers, who cannot afford to introduce this kind of technology to their operations.

Companies such as Cruise and competitor Zoox, acquired by Amazon this year, have set their sights on San Francisco, seeing the potential payoff of conquering a complex urban environment and the country's second-most densely populated major city, rather than starting small and gradually increasing their capabilities. But analysts have said self-driving vehicles will have to deploy unique skillsets for each of the environments where they are dispatched.

Robots can pick themselves up after a fall, even in an unfamiliar environment, thanks to an artificially intelligent controller that can adapt to new scenarios. It could make four-legged robots more useful in responding to natural disasters, such as earthquakes. Zhibin (Alex) Li at the University of Edinburgh, UK and his colleagues used an AI technique called deep reinforcement learning to teach four-legged robots a set of basic skills, such as trotting, steering and fall recovery. This involves the robots experimenting with different ways of moving and being rewarded with a numerical score for achieving a certain goal, such as standing up after a fall, and penalised for failing. This lets the AI recognise which actions are desired and repeat them in the similar situations in the future.

Joy Buolamwini from the MIT Media Lab says facial-recognition software has the highest error rates for darker-skinned females. New applications powered by artificial intelligence (AI) are being embraced by the public and private sectors. Their early uses hint at what's to come. In June 2020, IBM, Amazon and Microsoft announced that they were stepping back from facial-recognition software development amid concerns that it reinforces racial and gender bias. Amazon and Microsoft said they would stop selling facial-recognition software to police until new laws are passed in the United States to address potential human-rights abuses.

Aurora, led by veterans of driverless car efforts at Google and Uber, says it has previously received "significant investment" from Amazon, which is known to be exploring the possibility of driverless delivery vehicles. South Korean carmaker Hyundai has also backed Aurora,which has offices in four US cities.

Estimates of koala populations have historically varied wildly. In 2016, scientists estimated there were over 300,000 koalas in Australia. In mid-2019, the Australian Koala Foundation estimated that fewer than 80,000 remained in the country, and said the number could be as low as 43,000. Concern and confusion over the koalas' numbers intensified during Australia's devastating bushfires last year, leading to news articles that the animals were "functionally extinct." But scientists challenged the accuracy of that narrative.

Has one of the most important questions of science now been answered? From the headlines you might think so. For some biology's "holy grail" had been found. For others planetary extinction could be averted. On the surface the news seemed rather mundane.

Many Google employees and others in the tech and academic communities are furious over the sudden exit from Google of a pioneer in the study of ethics in artificial intelligence--a departure they see as a failure by an industry titan to foster an environment supportive of diversity. Timnit Gebru is known for her research into bias and inequality in AI, and in particular for a 2018 paper she coauthored with Joy Buolamwini that highlighted how poorly commercial facial-recognition software fared when attempting to classify women and people of color. Their work sparked widespread awareness of issues common in AI today, particularly when the technology is tasked with identifying anything about human beings. At Google, Gebru was the co-leader of the company's ethical AI team, and one of very few Black employees at the company overall (3.7% of Google's employees are Black according to the company's 2020 annual diversity report)-- let alone in its AI division. The research scientist is also cofounder of the group Black in AI.On Wednesday night, Gebru tweeted that she had been "immediately fired" for an email she recently sent to Google's Brain Women and Allies internal mailing list.

Hundreds of Google employees and more than 1,000 academic researchers are speaking out in protest after a prominent Black scientist studying the ethics of artificial intelligence said she was fired by Google after the company attempted to suppress her research and she criticized its diversity efforts. Timnit Gebru, who was the technical co-lead of Google's Ethical AI team, wrote on Twitter on Wednesday that she had been fired after sending an email to an internal group for women and allies working in the company's AI unit. The email, which was first published by the tech newsletter Platformer, referenced a dispute over a research paper, but more broadly expressed frustration at Google's diversity programs. In it, Gebru argued that "there is zero accountability" or real incentive for Google leadership to change. "Your life gets worse when you start advocating for underrepresented people, you start making the other leaders upset," Gebru wrote.

When soldiers are teamed with robots, the human need to interfere may negate the benefits of robotic assistance, a new US military project has discovered. But letting military artificial intelligence proceed without human supervision raises troubling ethical questions. The System-of-Systems Enhanced Small Unit (SESU) project foresees a team of around 200 to 300 soldiers augmented with swarms of small drones and robotic ground vehicles.