Arriving a symbolic and symmetric 27 years after he died at the age of 27, a "new" Nirvana song has been released. What makes "Drowned In The Sun" very different to "'You Know You're Right" – the last track Nirvana recorded in 1994 but which was not released until 2002 – is that Kurt Cobain did not write it and no members of Nirvana played on it. The track in question was created using artificial intelligence (AI) software that analyzed a number of Nirvana tracks in order to mimic their writing, recording and lyrical styles – drawing on vocals by Eric Hogan, lead singer in Nevermind, a Nirvana tribute act. Such digital necromancy comes with a whole host of moral, ethical and musical concerns, but in this case it is part of the Lost Tapes Of The 27 Club project raising awareness of mental health issues in music. The 27 Club refers to that mythologized grouping of musicians who all died at the age of 27.
Root AI, a Somerville, Mass.-based startup developing the Virgo harvesting robot for indoor farms, was acquired by AppHarvest for $60 million. AppHarvest is investing approximately $10 million in cash and the remaining balance in AppHarvest common shares to acquire Root AI. Founded in 2018, Root AI's 19 full-time employees are expected to join AppHarvest's technology group. Root AI co-founder and CEO Josh Lessing will take on the role of CTO for AppHarvest. He will take the lead in continuing to develop the robots and AI capabilities for the network of indoor farms AppHarvest is building.
The state of autonomous vehicle safety standard regulation in the US today is between two presidential administrations, with the Trump Administration-era regulations issued Jan. 14 likely to be soon superseded by policies of the Biden Administration. The Trump Administration rules would allow self-driving vehicle manufacturers to skip certain federal crash safety requirements in vehicles not designed to carry people, marking the first major update to federal safety standards to accommodate innovations of driverless technology, according to an account in The Detroit News.This would apply for example to the delivery vehicle from startup Nuro, which has no driver or passengers. The National Highway Traffic Safety Administration estimated the rule would save automakers and consumers $5.8 billion in 2050. "With more than 90% of serious crashes caused by driver error, it's vital that we remove unnecessary barriers to technology that could help save lives," stated then NHTSA Deputy Administrator James Owens. On Jan. 25, Steve Cliff, deputy executive officer of the California Air Resources Board, was named deputy administrator of the NHTSA. Ariel Wolf, counsel to the Self-Driving Coalition, said of the Jan. 14 announcement that the NHTSA rule was a "highly significant" development in safety rules for self-driving vehicles.
Kentucky-based Aviation Safety Resources is developing ballistic parachutes for use in aircraft ranging from 60 lbs to 12,000 lbs. The Air Force's Agility Prime program awarded a phase I small business technology transfer (STTR) research contract to Jump Aero and Caltech to create an electronic parachute powered by machine learning that would allow the pilot to recalibrate the flight controller in midair in the event of damage, the company announced on April 7. "The electronic parachute is the name for the concept of implementing an adaptive/machine-learned control routine that would be impractical to certify for the traditional controller for use only in an emergency recovery mode -- something that would be switched on by the pilot if there is reason to believe that the baseline flight controller is not properly controlling the aircraft (if, for example, the aircraft has been damaged in midair)," Carl Dietrich, founder and president of Jump Aero Incorporated, told Avionics International. This technology was previously difficult to certify because of the need for deterministic proof of safety within these complex systems. The research was sparked when the Federal Aviation Administration certified an autonomous landing function for use in emergency situations which created a path for the possible certification of electronic parachute technology, according to Jump Aero. The machine-learned neural network can be trained with non-linear behaviors that occur in an aircraft in the presence of substantial failures such those generated by a bird strike, Dietrich said.
THE COFFEESHOP is an engine of social mobility. Barista jobs require soft skills and little experience, making them a first port of call for young people and immigrants looking for work. So it may be worrying that robotic baristas are spreading. RC Coffee, which bills itself "Canada's first robotic café", opened in Toronto last summer. "[T]he barista-to-customer interaction is somewhat risky despite people's best efforts to maintain a safe environment," the firm says.
AI in health care sector has evolved leaps and bounds. However, there are certain sensitive areas or domains within it, where the magic touch of AI is yet to be felt. Such a domain is that of emergency health care domains like trauma care centres. Apparently, trauma care centres are the most visited because of the rate of accidents that occur daily. May it be motorbike accidents or gunshot wounds, the victims are straight sent to trauma care hospitals every day.
Tasting panels and breeding for better taste have been around since agriculture began, and now a researchers at University of Florida are using a new approach to creating better berries. Artificial intelligence is now helping identify cultivars most likely to produce a berry consumers will love. Already having collected data from hundreds and hundreds of volunteer tasters, computers now help match the chemical component that creates aromas of sweetness and "strawberriness." "If we want to say which of these aroma chemicals in the strawberry are actually helping boost the sweetness, our older statistical methods have a really hard time doing that but machine learning has an advantage," said strawberry breeder Dr. Vance Whitaker. He says knowing what chemicals to breed for makes it more clear what his team, and Florida farmers should plant.
Limitations on physical interactions throughout the world have reshaped our lives and habits. And while the pandemic has been disrupting the majority of industries, e-commerce has been thriving. This article covers how reinforcement learning for dynamic pricing helps retailers refine their pricing strategies to increase profitability and boost customer engagement and loyalty. In dynamic pricing, we want an agent to set optimal prices based on market conditions. In terms of RL concepts, actions are all of the possible prices and states, market conditions, except for the current price of the product or service.