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).
From wild speculation that flying cars will become the norm to robots that will be able to tend to our every need, there is lots of buzz about how AI, Machine Learning, and Deep Learning will change our lives. However, at present, it seems like a far-fetched future. As we enter the 2020s, there will be significant progress in the march towards the democratization of data that will fuel some significant changes. Gartner identified democratization as one of its top ten strategic technology trends for the enterprise in 2020 and this shift in ownership of data means that anyone can use the information at any time to make decisions. The democratization of data is frequently referred to as citizen access to data.
Fifty years ago, we couldn't have predicted that tens of thousands of jobs would be created by the development and deployment of driverless cars. Without a doubt, when the first flying cars make their debut in the next few years, thousands of jobs will surface to build, train and support them. If history has taught us anything, it's that innovation and invention keep humanity moving forward. It's within our DNA to evolve and improve our ways of living and working. But what about when it comes to the power of technology?
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.
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.
Over the past decade technology has become increasingly interwoven into our daily lives and work. Back in 2010, tablets, battery-powered cars, augmented reality, smartwatches, consumer drones and smart speakers were hard to imagine. To say technology has transformed throughout the decade is an understatement. The same could be said of how technology has impacted the insurance industry in the 2010s. It has has enhanced how damage is assessed and claims are adjusted.
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."