On a recent afternoon at the NVIDIA robotics research lab in Seattle's University District, researchers use a simulated kitchen to test robots' ability to perform simple tasks such as grabbing objects. A 5-feet 7-inch tall white robot, basically a spindly arm affixed with a claw of the sort customarily found in an arcade vending machine, glided around the kitchen on its two Segway wheels. Following the command of a research scientist sitting at a nearby computer, the robot grabbed a Cheez-It box on the counter and extended its limb to gently place the snacks inside a cabinet. "What's deceptive is that what's simple to us in the kitchen is challenging for a robot," said University of Washington Computer Science and Engineering Professor Dieter Fox, who also serves as the lab's senior director of robotics research. The Silicon Valley-based technology company opened the robotics lab last fall to harness the UW's talent in a sector where Seattle plays a central role.
And, I wanted to start with a personal story to tell you why it's so meaningful for me to be here. So, it was a long time ago, I was in my early 20's, I was living in Manhattan, and I was living life in the fast lane at a high-stress job. I was working a lot of hours, and I was doing things in my personal life that you do when you're in the early 20s and you think you're invincible. So, I ended up hitting the wall and I hit it really hard both physically and mentally and ended up taking extended time off just to recover and regroup. Coincidentally, one of the books I read at that time which was a tipping point for me was a book called The Mind-Body Connection by John Sarno. Have any of you read that book? Okay, a few of you, if you haven't read it, I highly recommend it. It was a turning point for me and at that time I started meditating every day, I started working out every day. Both things that I do every day to this day. And it's really helped my helped turn my life around. And I share that story with you to tell you that the work that you do, I am deeply, deeply grateful for, so thank you. And it's not just me, as a MINDBODY community, we have an impact on a lot of people around the world. In the past year, all of you have touched thirty-eight point three million lives around the world. I think you deserve a round of applause for that.
We often hear about autonomous vehicles and self-driving cars, but you would be surprised how close the aviation industry is to complete this transition. The thing is that aviation has an emerging need for a solution because tourism is booming, more people than ever are traveling around the world, yet there's the scarcity of pilots. In 2017, there were 609 thousand certified pilots, which seems a lot, but the number drastically declined from 827 thousand in 1980. And the number of qualified pilots is gradually decreasing. One way to tackle the problem is to accelerate an autonomous aircraft development.
During the Gilded Age and the second industrial revolution, the world saw rapid adoption of life-altering technologies -- electricity, rail transport, the automobile, telegraph communications and then the telephone. Thanks to these innovations, companies were able to create and sell products they could not before to people they had not previously been able to reach, in ways they never could have envisioned. That young United States saw unprecedented growth, with total national wealth increasing from $16 billion in 1860 to $88 billion by 1900. Today's evolution looks set to be just as transformative. Disruptive technologies like augmented reality, artificial intelligence (AI) and the internet of things (IoT) are already having an impact.
This is an updated version of a story that initially appeared in Interglobix Magazine, the publication for data centers, connectivity and lifestyle. The road to the self-driving car of the future is paved with hardware and data centers. Autonomous vehicles promise to be one of the transformational technologies of the 21st century, with the potential to remake much of our urban and economic landscape. But many questions remain about how the connected car of 2019 will evolve to meet the vision for the autonomous vehicles of the future, and tough issues to be resolved on multiple fronts – including technology, regulation and infrastructure. The long-term vision is to create networks of connected vehicles that "talk" to one another using vehicle-to-vehicle (V2V) communications over low-latency wireless connections, which can also allow vehicle-to-infrastructure (V2I) that enable robot cars to connect with traffic lights and parking meters.
A spherical, cargo robot that carries up to 40 pounds while trailing behind its owner can be yours for just $3,250. Vespa scooter maker has unveiled a redesign of its personal robot called Gita, which aims to free its human's hands so they can engage with others and enjoy activities. The ball-like machine stands about 26 inches and uses vision sensors to follow you -- and it will be available to the public next month. A spherical, cargo robot that carries up to 40 pounds while trailing behind its owner can be yours for just $3,250. Vespa scooter maker has unveiled a redesign of its personal robot called Gita, which aims to free its human's hands so they can engage with others and enjoy activities Instead of deciding to use an automobile or truck to transport to lug packages and other goods, Piaggio Fast Forward, the creating firm, wants to help people walk, run, pedal and skate through life with the assistance of a family of vehicles like Gita.
There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently. Artificial intelligence is gradually becoming a constant presence in many technological applications.
Transport for London (TfL) is sounding out the market to establish how it can use data and artificial intelligence (AI) to tackle some of the challenges in the capital's road network. The idea is to add predictive capability to the organisation's Surface Intelligent Transport System (SITS) to enhance response to incidents such as roadworks, congestion and other unplanned events. The enhanced system would be able to accurately forecast the state of the road network after an incident and generate suggested response strategies, while modelling these strategies on the road network to create an effectiveness-based ranking. This would be the first time AI is used to manage London's road network. Data would also play a key role in the new version of SITS, which would draw on a wide range of historic and real-time datasets to predict reactions to incidents on the roads.
The School of Engineering, Computing and Mathematics at Oxford Brookes University provides an intellectually stimulating, friendly and supportive environment in which to work and study. The School has recently embarked upon a new strategy that has seen an increase in student numbers, the introduction of new degrees, and the establishment of new international partnerships. This role offers an opportunity to join the academic team at the School of Engineering, Computing and Mathematics to a highly motivated individual with expertise in Artificial Intelligence, Machine Learning, Robotics, Autonomous Vehicles or similar. To apply please complete the online application form, attach your CV and publications list and provide a personal statement which includes examples of how your skills and experience meet each of the selection criteria in the person specification which are attached to the job description. As one of the largest employers in Oxford we pride ourselves in the great experience we offer our staff.