A group of robotics companies including Boston Dynamics has pledged not to add weapons to their devices and to push back against attempts by other people to do so. But how big an effect will it have if other firms will be developing robots with military applications? An open letter signed by Agility Robotics, ANYbotics, Boston Dynamics, Clearpath Robotics, Open Robotics and Unitree says that "untrustworthy people" could use the companies' devices to "invade civil rights or to threaten, harm, or …

Schmickl, who now leads the Artificial Life Lab at the University of Graz in Austria, wasn't wrong. Studies in various parts of the world have since found that insect populations are declining or changing. After working in the field of swarm robotics for several years--using nature to inspire robots--Schmickl decided to flip his work around and design robots to help nature, a concept he calls ecosystem hacking. Honeybees and other pollinators face habitat loss, pesticide exposure, and other challenges, and Schmickl believes that coming to their aid could help strengthen entire ecosystems. Already, some companies offer augmented beehives that monitor conditions inside, or even robotically tend the bees.

In 2017, spurred by advocacy from civil society groups, the New York City Council created a task force to address the city's growing use of artificial intelligence. But the task force quickly ran aground attempting to come to a consensus on the scope of "automated decision systems." In one hearing, a city agency argued that the task force's definition was so expansive that it might include simple calculations such as formulas in spreadsheets. By the end of its eighteen-month term, the task force's ambitions had narrowed from addressing how the city uses automated decision systems to simply defining the types of systems that should be subject to oversight. As policymakers around the world have attempted to create guidance and regulation for AI's use in settings ranging from school admissions and home loan approvals to military weapon targeting systems, they all face the same problem: AI is really challenging to define.

Machine learning-based computational models have been successfully applied to a broad range of complex information processing tasks, including those that involve retrieving specific data items from large archives. Researchers at the Sony Computer Science Laboratories (CSL) in France have been trying to develop machine learning techniques that could help music producers to easily identify and retrieve specific audio samples from a database. To this end, Stefan Lattner, a researcher at Sony CSL, recently introduced SampleMatch, a machine learning-based model that can automatically retrieve drum samples that match a specific music track from large archives. His model is set to be presented in December at the ISMIR 2022 conference, a leading event that focuses on music information retrieval. "Our music team at Sony CSL is working on AI that could make the life of music producers easier," Stefan Lattner, one of the researchers who carried out the study, told TechXplore.

Fuller's team is working to construct a robotic fly. Similar to the cyborg cockroaches, the flies could be used in search-and-rescue missions. They could also be unleashed to fly around and look for chemical leaks in the air or cracks in piping infrastructure. "You open a suitcase and these little robotic flies fly around," he said. "Then, once you know where the leak is, you can patch it."

In early 2021, Bollinger's winemakers were able to get their first taste of La Grande Année 2014, a prestige fizz that had been aging in the champagne house's cellars since it was blended. La Grande Année, Bollinger's flagship vintage champagne, is produced only in years when the broad quality is deemed sufficiently high, and enjoys seven years of aging under cork before it's launched. Ahead of opening up the 2014 vintage, questions lingered over just how strong a year it really was, given a roller-coaster growing season that saw record-breaking heat in June followed by a cold, wet summer that slowed grape maturation. Moreover, for a champagne house known for its forthright pinot noir character, it was a vintage that distinctly favored chardonnay. But for Denis Bunner, Bollinger's deputy head winemaker (or chef de cave), the answer was clear-cut even before the bottles were opened.

AI-generated audio is commonplace: voices on home assistants like Alexa use natural language processing. AI music systems like OpenAI's Jukebox have already generated impressive results, but most existing techniques need people to prepare transcriptions and label text-based training data, which takes a lot of time and human labor. Jukebox, for example, uses text-based data to generate song lyrics. AudioLM, described in a non-peer-reviewed paper last month, is different: it doesn't require transcription or labeling. Instead, sound databases are fed into the program, and machine learning is used to compress the audio files into sound snippets, called "tokens," without losing too much information.

Uber Technologies Inc. inked a deal with Motional Inc. to offer driverless deliveries and rides, rekindling its vision of a self-driving taxi fleet nearly two years after it sold its autonomous vehicle division. The San Francisco-based company is partnering with Motional, which is an autonomous driving joint venture between Hyundai Motor Co. and Aptiv Plc. The 10-year deal will pair Motional's all-electric IONIQ 5 robotaxis with Uber's ride-hailing and delivery platform, the companies said in a statement Oct. 6. They did not disclose financial terms. "This agreement will be instrumental to the wide scale adoption of robotaxis," Motional Chief Executive Officer Karl Iagnemma said in a statement.

People take pictures and videos of the Boston Dynamics robot Spot during an event in Lisbon in 2019. People take pictures and videos of the Boston Dynamics robot Spot during an event in Lisbon in 2019. Boston Dynamics and five other robotics companies have signed an open letter saying what many of us were already nervously hoping for anyway: Let's not weaponize general-purpose robots. The six leading tech firms -- including Agility Robotics, ANYbotics, Clearpath Robotics, Open Robotics and Unitree -- say advanced robots could result in huge benefits in our work and home lives but that they may also be used for nefarious purposes. "Untrustworthy people could use them to invade civil rights or to threaten, harm, or intimidate others," the companies said.

The authors apply a novel deep-learning algorithm called a transformer to build surrogate models for simulations of well performance. Transformer architecture initially was developed for natural-language processing problems. However, in recent years, researchers have adapted transformers for time-series forecasting.