Outfield Technologies is a Cambridge-based agri-tech start-up company which uses drones and artificial intelligence, to help fruit growers maximise their harvest from orchard crops. Outfield Technologies' founders Jim McDougall and Oli Hilbourne have been working with Ph.D. student Tom Roddick from the Department's Machine Intelligence Laboratory to develop their technology capabilities to be able to count the blossoms and apples on a tree via drones surveying enormous apple orchards. "An accurate assessment of the blossom or estimation of the harvest allows growers to be more productive, sustainable and environmentally friendly", explains Outfield's commercial director Jim McDougall. "Our aerial imagery analysis focuses on yield estimation and is really sought after internationally. One of the biggest problems we're facing in the fruit sector is accurate yield forecasting. This system has been developed with growers to plan labour, logistics and storage. It's needed throughout the industry, to plan marketing and distribution, and to ensure that there are always apples on the shelves. Estimates are currently made by growers, and they do an amazing job, but orchards are incredibly variable and estimates are often wrong by up to 20%. This results in lost income, inefficient operations and can result in substantial amount of wastage in unsold crop."
Self-driving scooters could soon be whizzing around without riders in a tech development designed to improve cities' transport-sharing networks. A California-based start-up, Tortoise, is working on self-driving technology with which bikes and scooters drive themselves home after someone has used them. And taxi-hailing app Uber announced earlier in the year that it was working towards the same goal. Set to launch next month, the initiative is a progression for the temporary bike, scooter and Segway hire schemes which already exist around the world. It could mean fewer of the bikes and scooters are left lying around in obscure places and that they all return to charging stations or busy areas when not in use.
Hyundai has announced a world's first technology that it called Machine Learning based Smart Cruise Control (SCC-ML). SCC-ML is a technology that is meant to incorporate the driver's patterns into the self-driving behavior to create a custom experience for the driver. Hyundai says that the tech is an industry first and plans to implement the technology in the future. Smart Cruise Control (SCC) enables an essential self-driving feature and core technology for maintaining a distance from the vehicle ahead while traveling at a speed selected by the driver. SSC-ML combines AI and SCC into a system that can learn the patterns of the driver.
In January, Liz O'Sullivan wrote a letter to her boss at artificial intelligence startup Clarifai, asking him to set ethical limits on its Pentagon contracts. WIRED had previously revealed that the company worked on a controversial project processing drone imagery. O'Sullivan urged CEO Matthew Zeiler to pledge the company would not contribute to the development of weapons that decide for themselves whom to harm or kill. At a company meeting a few days later, O'Sullivan says, Zeiler rebuffed the plea, telling staff he saw no problems with contributing to autonomous weapons. Clarifai did not respond to a request for comment.
Hyundai has debuted the world's first autonomous driving technology which self-learns from a driver's individual style. A built-in AI observes the driver's patterns to mimic their style in as safe a manner as possible. The use of a self-learning AI means the autonomous features should more closely replicate that of if the driver was still in full control of the vehicle. Hyundai is rolling out the feature for cruise control initially and calling it Smart Cruise Control-Machine Learning (SCC-ML). "The new SCC-ML improves upon the intelligence of the previous ADAS technology to dramatically improve the practicality of semi-autonomous features. Hyundai Motor Group will continue the development efforts on innovative AI technologies to lead the industry in the field of autonomous driving."
The motor industry's ability to deliver large numbers of self-driving cars by 2030 has been brought into question. A report commissioned by Dell Technologies highlights five key hurdles to the adoption of autonomous vehicles, including the AI-powered neural networks at their heart and the vast data streams required to keep the cars on the road. Frost & Sullivan, an international consultancy, anonymously interviewed 17 executives connected with the sector and found they were concerned by the daunting amount of digital information generated by autonomous fleets. One of the respondents said the volume could exceed the amount of data that is stored by Facebook.
Alphabet (Google) subsidiary Wing has become the first company in the United States to deliver packages by drone. In Christiansburg, the small Virginia town chosen as Wing's test location, the 22,000 residents can order products normally shipped by FedEx, medicine from Walgreens and a selection of candy from a local business -- all of which will arrive via drone. Wing, which already operates in two Australian cities as well as Helsinki, announced in a statement that the first drone-powered deliveries had taken place Friday afternoon in Christiansburg, "paving the way for the most advanced drone delivery service in the nation". One family used the Wing app to order Tylenol, cough drops, Vitamin C tablets, bottled water and tissues, the statement said. An older resident ordered a birthday present for his wife.
Trust me, I have no intention of trusting autonomous vehicle braking. One of the terms we see pop up in almost every technical vector is autonomous vehicles. As with 5G, the autonomous vehicle landscape is fraught with hype. That has even spilled over to the consumer marketing arena with tons of ads for automobiles showing hands-off braking, lane navigation, self-parking, and more. Depending upon with whom one speaks, autonomous vehicles are anywhere from level 3 to level 5. Of course, the only one who believes we are at level 5 is Elon Musk, with his claims for Teslas.
Global Artificial Intelligence (AI) in Automotive Market has valued 566.80 Mn in 2016 and is estimated to reach US$ 10,600.3 Global Artificial Intelligence (AI) in Automotive Market is segmented by technology, offering, process, application, and geography. By technology, Global Artificial Intelligence (AI) in the automotive market is divided into Computer Vision, Machine Learning, Context Awareness, natural language processing. Based on the offering, Artificial Intelligence (AI) in Automotive Market is categorized hardware and software. By process, the market is fragmented into Data Mining, Signal Recognition, and Image Recognition.
The Mayflower Autonomous Ship (MAS) will begin its journey on 6 September 2020 and cross the Atlantic Ocean, from Plymouth to Plymouth. Like its namesake in 1620, MAS will rely to some extent on favourable weather to complete its crossing as it will be powered by state-of-the-art hybrid propulsion system, utilizing wind, solar, state-of-the-art batteries, and a diesel generator. MAS will carry three research pods containing myriad sensors that scientists will utilize to conduct persistent, ground-breaking research in meteorology, oceanography, climatology, biology, marine pollution and conservation, and autonomous navigation. MAS is being coordinated through a partnership lead by ProMare, a non-profit charity established to promote marine research and exploration throughout the world. The research pods will be coordinated by Plymouth University, a world-leading centre of excellence for marine and maritime education, research and innovation.