Apple has its eye on self-driving car tech. Interacting with a future self-driving car could be a lot like working with some future interpretation of Apple iOS with voice, gesture and touch-enabled commands at your disposal. It's the overarching view gathered after reading through an Apple patent application filed last August and published last week for a self-driving car voice and gesture guidance system. CEO Tim Cook said in 2017 that Apple was working on an autonomous car system, rather than a car itself, as had been previously rumored. At its core, the system described in the patent application gives passengers three ways to give the autonomous car directions and input, and much of the described system is incredibly similar to commands we're used to today.
To grasp how artificial intelligence will play out in higher education, and how we can strategically address these changes, we should think about how artificial intelligence might unfold over the next few years. In late 2019, professors research, create, critique, and teach various forms of artificial intelligence. Students, staff, and faculty increasingly experience artificial intelligence in digital devices, ranging from autonomous vehicles to software-guided computer game opponents, that are unsupported by the campus IT department. AI capabilities are gradually infusing the services, used by all in the campus community, of powerful computing enterprises such as Google, Amazon, Facebook, and Microsoft. Homegrown experiments are under way on our campuses, while vendors offer AI tools for us to purchase and implement.
Truly "autonomous" systems are starting to replace or augment many of the routine tasks and processes people perform every day, improving efficiency while freeing individuals for higher-level pursuits. But what's often overlooked is how much progress is happening in other areas and industries: healthcare, air travel, energy provision, retail, logistics, agriculture, and construction. Autonomous systems are even helping governments match refugees with the most suitable communities to live, as detailed in one of the four real-world vignettes we present below. Such optimism makes sense, given advances such as self-managing and self-patching databases in IT. But our survey's other findings might underestimate the pace of change: Just 24% say they expect to see significant use of autonomous tech in construction, for example, even though self-driving bulldozers already are in use on select projects.
Nearly half of UAE residents are likely to own a self-driving car in the next five years if it are available to them, according to a new survey. The poll by YouGov also showed that close to a quarter (23 percent) are unlikely to do so and an equal proportion is unsure. It said men are more inclined to own an autonomous car in the future than women, with 53 percent of males expressing interest compared to 42 percent of females respondents. Among the various age-groups, people in their thirties (52 percent) are more likely than those under 30 (47 percent) and those aged 40 and above (48 percent) to possess one. When it comes to safety, YouGov's research showed that 43 percent feel driverless cars are safer than human-driven cars, 27 percent think they are less safe while 17 percent say they are just about the same.
"Compared to other approaches, our non-line-of-sight imaging system provides uniquely high resolutions and imaging speeds," said research team leader Christopher A. Metzler from Stanford University and Rice University. "These attributes enable applications that wouldn't otherwise be possible, such as reading the license plate of a hidden car as it is driving or reading a badge worn by someone walking on the other side of a corner." In Optica, The Optical Society's journal for high-impact research, Metzler and colleagues from Princeton University, Southern Methodist University, and Rice University report that the new system can distinguish submillimeter details of a hidden object from 1 meter away. The system is designed to image small objects at very high resolutions but can be combined with other imaging systems that produce low-resolution room-sized reconstructions. "Non-line-of-sight imaging has important applications in medical imaging, navigation, robotics and defense," said co-author Felix Heide from Princeton University.
What are the biggest technological advances of the last decade? You may already be using some tech innovations like Siri and AI. Others haven't yet become a part of regular everyday life, like self-driving autonomous vehicles, CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) or augmented reality. What inventions and innovations do you hope to see in the next decade? 'Filling in the missing pieces': How AI is transforming drug discovery, development and innovation
The evolution and convergence of technology has fueled a vibrant marketplace for timely and accurate geospatial data. Every day billions of handheld and IoT devices along with thousands of airborne and satellite remote sensing platforms generate hundreds of exabytes of location-aware data. This boom of geospatial big data combined with advancements in machine learning is enabling organizations across industry to build new products and capabilities. Maps leveraging geospatial data are used widely across industry, spanning multiple use cases, including disaster recovery, defense and intel, infrastructure and health services. For example, numerous companies provide localized drone-based services such as mapping and site inspection (reference Developing for the Intelligent Cloud and Intelligent Edge).
Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that it is expanding its autonomous machines research, working on the development of a dynamic simulation program for robots. With the requirement for complex, real-time information analysis, a dynamic simulation of autonomous machines is a must for advanced robotic systems development and prototyping. As part of GBT's on-going robotics R&D activities, the Company is developing a new robotics simulation program in order to enable better emulate real-time robot control and functionality. A dynamic simulation for robots has strict requirements due to the fact that it is dealing with real world physical reality in real time.
There is no question that Artificial Intelligence is a transformative technology – so much so that we can't even begin to imagine the impact it will have in the next five, ten, or even twenty years. At the same time, AI is already being used in innovative and unexpected ways across a variety of industries. Bees perform an important ecological function, especially for farmers who rely on pollination to germinate crops. As the bee population continues to decline, scientists have looked for ways to mimic the important work that the insects do – and one solution they've found is to create robot bees (robot drones to replace real drones!) that are equipped with cameras, GPS, and Artificial Intelligence. This potent combination of hardware and software allows these robots to determine where crops are located, and pollinate them accordingly.
CES 2020 did not disappoint if you were looking for IoT (Internet of Things), AI (artificial intelligence), and almost any connected technologies you could only dream about and perhaps a few you might have never imagined. Toyota announced Woven City, a sort of "living laboratory" at the foot of Japan's Mt. Fuji that will focus on developing and testing technologies in the realms of robotics, autonomous vehicles, smart construction and manufacturing, and smart homes. There were folding computers, like Intel's Horseshoe Bend device, a new EV (electric vehicle) in the form of Fisker's Ocean, and there was even the announcement that plant-based food company Impossible Foods would start making plant-based pork. If you missed the event, here is a more in-depth look at some overall trends and a few more of the highlights. Overall trends included smart transportation, encompassing autonomous vehicle technologies and EVs, as well as intelligent transportation and V2X (vehicle-to-everything) connectivity platforms.