Segmentation has numerous applications in medical imaging (locating tumors, measuring tissue volumes, studying anatomy, planning surgery, etc.), self-driving cars (localizing pedestrians, other vehicles, brake lights, etc.), satellite image interpretation (buildings, roads, forests, crops), and more. This post will introduce the segmentation task. In the first section, we will discuss the difference between semantic segmentation and instance segmentation. The final section includes many example medical image segmentation applications and video segmentation applications. Here is another illustration of the difference between semantic segmentation and instance segmentation, showing how in semantic segmentation all "chair" pixels have the same label, while in instance segmentation the model has identified specific chairs: The U-Net paper (available here: Ronneberger et al. 2015) introduces a semantic segmentation model architecture that has become very popular, with over 10,000 citations (fifty different follow-up papers are listed in this repository).
Deep learning is a sub-field of machine learning that is rapidly rising and is driving a lot of developments that has already transformed traditional internet businesses like web search and advertising. In the past couple of years, deep learning has gotten good from reading X-ray images, to delivering personalized education, precision agriculture, and even to self-driving cars. Over the next decades, we will have an opportunity to build an amazing world and society that is AI powered, and maybe you will play a big role in the creation of this AI powered society. What exactly is AI? AI is the new electricity. About 100 years ago, the electrification of our society has transformed every major industry like, transportation, manufacturing, healthcare, communication and many more.
From faster and cheaper drug trials to fully "conscious" cities, digital replicas are changing the face and pace of innovation. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Last year the world held its breath as Notre Dame Cathedral stood shrouded in flames. After the fire was extinguished, and it was revealed that the iconic cathedral was not lost, the hard work of restoration began. Until very recently, that process would have begun with a search through dusty archival blueprints to guide the intricate repair works.
Developed at the Artificial Intelligence Center of the Stanford Research Institute (SRI) from 1966 to 1972, SHAKEY was the world's first mobile intelligent robot. According to the 2017 IEEE Milestone citation, it "could perceive its surroundings, infer implicit facts from explicit ones, create plans, recover from errors in plan execution, and communicate using ordinary English. SHAKEY's software architecture, computer vision, and methods for navigation and planning proved seminal in robotics and in the design of web servers, automobiles, factories, video games, and Mars rovers." In November 1963, Charles Rosen, head of the AI group at SRI, wrote a memo in which "he proposed development of a mobile'automaton' that would combine the pattern-recognition and memory capabilities of neural networks with higher-level AI programs," according to Nils Nilsson in his book The Quest for Artificial Intelligence. In April 1964, SRI submitted to the Advanced Research Projects Agency (ARPA) at the U.S. Department of Defense, a proposal for research in "Intelligent Automata," which it claimed would ultimately lead to "the development of machines that will perform tasks that are presently considered to require human intelligence."
This month, the European Advances Studio for Toyota and Lexus revealed seven new designs offering a glimpse at what the luxury car manufacturer's products might look if there was a commercial market for space vehicles. The designs were part of a new issue of Document Journal, which commissioned ten designers to create a'Lunar Portfolio,' imagining what life would be like on the moon. The featured design is called'Zero Gravity,' a single-rider style vehicle that uses a speculative magnetic levitation technology to power the vehicle as it speeds along just above the surface of the moon. 'The design reinterprets the signature Lexus spindle grille and uses the motorcycle-style of driving to employ the new concept of Tazuna (which mean "reins" in Japanese): the fundamental human-centered philosophy,' Lexus explained in a statement released alongside the new portfolio of designs. 'Inspired by how a single rein can be used to achieve mutual understanding between horse and rider, the steering control provides active driving enjoyment created by the direct communication between human and machine.'
The head of Google and parent company Alphabet has called for artificial intelligence (AI) to be regulated. Writing in the Financial Times, Sundar Pichai said it was "too important not to" impose regulation but argued for "a sensible approach". He said that individual areas of AI development, like self-driving cars and health tech, required tailored rules. Last week it was revealed that the European Commission is considering a five-year ban on facial recognition. Earlier this month, the White House published its own proposed regulatory principles and urged Europe to "avoid heavy-handed innovation-killing models".
Birds do not collide when they fly in flocks. We may wonder how they do not and how they flock in a self-organized and well-orchestrated movement. It is a collective intelligence that is encapsulated within the interactions between the birds and the environment. The cohesive self-organized movement of a biological swarm such as flocking birds is commonly studied. Such phenomena have had successful applications in robotics and autonomous vehicles, and it has attracted a renewed interest from the Artificial Intelligence and the Predictive Analytics communities.
AirWorks Is an Expert DJI Authorized Dealer Based in Dubai Offering Products, Consulting and Online Courses. Choosing the best drone on the market is not easy, as the offering is so wide and varied. DJI offers a solution for every need: from the extra-lightweight Mavic Mini, which films incredibly smooth videos, to more professional drones like the Mavic 2 Pro to record adrenaline-filled adventures. AirWorks uncovers the details about the all-time favorite DJI Mavic drones so everyone can finally make an informed purchase and start getting high-quality footage. Using a drone allows anyone to have a new perspective of the world.
The day is approaching when commuters stuck in soul-crushing traffic will be freed from the drudgery of driving. Companies are investing billions to devise sensors and algorithms so motorists can turn our attention to where we like it these days: our phones. But before the great promise of multitasking on the road can be realized, we need to overcome an age-old problem: motion sickness. "The autonomous-vehicle community understands this is a real problem it has to deal with," said Monica Jones, a transportation researcher at the University of Michigan. "That motivates me to be very systematic."
California requires all companies that test self-driving cars on public roads in the state to report miles driven and the number of "disengagements," or times a human driver takes over control. Cruise co-founder and CTO Kyle Vogt believes this reporting method is a poor metric for comparing companies, and is causing companies to test and demo in easier environments in order to reduce reported disengagements. In a post on Medium, Vogt says that at Cruise, disengagements are sometimes used as a courtesy to other drivers, or as a cautious reaction from the driver to a situation that could have been handled by the vehicle. He explains, "Have you ever been in the backseat of a human-driven car and felt the urge to grab the wheel when something crazy happens on the road? Autonomous vehicle (AV) companies need to be extra careful when it comes to safety, as well as the perception of safety. AVs working correctly is not news, but disengagements, running red lights, and crashes are very much news that could affect the perception of AV safety, independent of their actual safety record. This leads to the well-controlled demos that Vogt takes issue with. "Companies carefully curate demo routes, avoid urban areas with cyclists and pedestrians, constrain geofences and pickup/dropoff locations, and limit the kinds of maneuvers the AV will attempt during the ride -- all in order to limit the number of disengagements.