"His companies have faced allegations of sexual harassment and poor working conditions; in October, a federal jury ordered Tesla to pay $137 million to a Black employee who accused the automaker of ignoring racial abuse. The businesses have also been fined for numerous regulatory violations. The feds are probing Tesla's Autopilot software, which has been involved in an alarming number of crashes with parked emergency vehicles, resulting in injuries and death. The company's expansion in China required cozying up to its repressive autocrats." So naturally, let's make him Time's Person of the Year! No one can accuse Time of rolling over for its pick.

As consensus across the various published AI ethics principles is approached, a gap remains between high-level principles and practical techniques that can be readily adopted to design and develop responsible AI systems. We examine the practices and experiences of researchers and engineers from Australia's national scientific research agency (CSIRO), who are involved in designing and developing AI systems for a range of purposes. Semi-structured interviews were used to examine how the practices of the participants relate to and align with a set of high-level AI ethics principles that are proposed by the Australian Government. The principles comprise: Privacy Protection & Security, Reliability & Safety, Transparency & Explainability, Fairness, Contestability, Accountability, Human-centred Values, and Human, Social & Environmental Wellbeing. The insights of the researchers and engineers as well as the challenges that arose for them in the practical application of the principles are examined. Finally, a set of organisational responses are provided to support the implementation of high-level AI ethics principles into practice.

Solving some of the major challenges of the 21st Century, such as producing clean electricity or developing high temperature superconductors, will require us to design new materials with specific properties. To do this on a computer requires the simulation of electrons, the subatomic particles that govern how atoms bond to form molecules and are also responsible for the flow of electricity in solids. Despite decades of effort and several significant advances, accurately modelling the quantum mechanical behaviour of electrons remains an open challenge. Now, in a paper published in Science, we propose DM21, a neural network achieving state of the art accuracy on large parts of chemistry. To accelerate scientific progress, we're also open sourcing our code for anyone to use.

Congratulations to Huy Ha and Shuran Song who have won the CoRL 2021 best system paper award! Their work, FlingBot: the unreasonable effectiveness of dynamic manipulations for cloth unfolding, was highly praised by the judging committee. "To me, this paper constitutes the most impressive account of both simulated and real-world cloth manipulation to date.", Below, the authors tell us more about their work, the methodology, and what they are planning next. In my most recent publication with my advisor, Professor Shuran Song, we studied the task of cloth unfolding.

Where you born, raised, and in what kind of background? Nitesh Chawla: I'm from New Delhi although I was born in Calcutta. I did my schooling from Delhi Public School. Then I did my engineering from Pune. Then I came to the United States in 1993 right after finishing my undergrad.

The video gaming community is mourning the loss of one of its early pioneers, Masayuki Uemura. Uemura, whose death on Monday at the age of 78 was just announced, was the lead architect behind the Nintendo Entertainment System [NES] and its successor the Super Nintendo Entertainment System [SNES]. Uemura was born in Tokyo in 1943 and became an electrical engineer. In 1972, he joined Nintendo and was soon working on the predecessor to early hit game "Duck Hunt". In the early '80s, he was tasked with creating a home console to rival Atari, and Nintendo's president asked Uemura come up with a game using cartridges.

We caught up with Darius to discuss a bit about his experience with the DeepMind scholarship and how it has supported both his educational and professional development. This interview was lightly edited for clarity. Tell us a bit about your experience as a DeepMind Scholar. I was very happy to be selected as a DeepMind Scholar. It created many opportunities for me by allowing me to live and work in New York, where it was very easy to network and learn from a diverse group of accomplished data scientists.

Late in 1966, in the sprawling computer lab of the Washington, D.C., office building that housed the United States Weather Bureau, Syukuro Manabe was waiting for a print job to finish. At stake was the fate of the planet. Manabe, who was thirty-five, had come to the U.S. from Japan almost a decade earlier. He managed a team of computer programmers, tasked with building a mathematical simulation of the planet's atmosphere. It had taken years to perfect, and cost millions of dollars. Now the simulation was complete.

This posts describes, along with Python code, an analysis of the readers' comments open dataset from Rome's libraries made publicly available by "Istituzione Biblioteche di Roma"¹. The analysis leverages topic modeling techniques to find recurring topics among readers' comments, and thus determine, by inference, the themes of the borrowed books and the interests of the readers. Moreover, sentiment analysis is performed to determine whether customers comments are positive or negative. Finally, readers data (age and occupation) are used to achieve customers segmentation via clustering techniques. This provides insights on the topics of borrowed books, the readers sentiment and different readers clusters.

Roborock, creator of ultra-intelligent home robotics engineered to simplify life, announced its premium Roborock S7 robot vacuum and mop was named a winner in the 2021 Popular Science Best of What's New Awards. The annual awards that highlight the most groundbreaking, culture-shifting products and technologies of the year recognized the Roborock S7 for its proprietary VibraRise technology that detects carpet and lifts its mopping attachment to avoid any mishaps. "This recognition is a testament to our team's reputation for pushing the boundaries of engineering and design to pioneer the future of elegant, intelligent home cleaning solutions," said Richard Chang, Chief Executive Officer of Roborock. "The S7 takes'effortless' to the next level with industry-first technology and is the exemplar candidate for the prestigious annual Popular Science awards, recognizing transformative achievements leading the evolution of the "Home." Each year, the editors of Popular Science review thousands of products in search of the top 100 innovations--breakthrough products and technologies that represent significant advancements in their categories. Best of What's New Awards are presented to products and technologies in 10 categories: Aerospace, Automotive, Engineering, Entertainment, Gadgets, Health, Home, Personal Care, Sports & Outdoors and Security. "The Best of What's New Awards celebrates the year's greatest feats of human ingenuity – the steps towards safer, healthier, more-sustainable, and happier days ahead," says Popular Science Editor-in-Chief Corinne Iozzio. "Despite the supply chain challenges making headlines in 2021, breakthroughs across all our categories have helped us glimpse a future brimming with possibilities.