If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
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.
Artificial intelligence (AI) and machine-learning (ML) approaches are the present-day buzzwords finding applications in a host of domains affecting our lives. These approaches use known datasets to train and build models that can predict, or sometimes, make decisions about a task. In one such case, researchers at the Indian Institute of Technology Bombay (IIT Bombay), Mumbai, have in a recent study, developed ML approaches using molecular descriptors for certain types of catalysis that could find use in several therapeutic applications. Traditionally, drug discovery and formulation is an elaborate process. Biological molecules have different properties, the knowledge of which are crucial for binding drug molecules that target proteins.
From home, healthcare and manufacturing to transportation, education to the environment, robots have already touched almost all aspects of our lives. With rapid advances in Artificial Intelligence (AI), machine learning, and numerous other technologies, robots are becoming more capable, and affordable. Here are some of the robotic innovations that, in the not-so-distant future, will become widespread and change the way we live and work forever, making lives more convenient and meaningful. Delta Air Lines, in partnership with Sarcos Robotics, has developed a first-of-its-kind wearable robotic exoskeleton, the Guardian XO, a battery-powered industrial robot combining human intelligence with the power of machines. The robotic suit that can be donned and doffed unassisted in less than 30 seconds may enable a worker to lift up to 90kg (200 pounds) repeatedly for up to eight hours at a time without strain or fatigue or injury.
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.
Every manufacturer wants to avoid unexpected downtime in the plant, and that starts with proactively monitoring machines to keep them up and running. For that reason, technology suppliers are offering up plenty of diagnostic applications designed for machine maintenance. But many of the offerings available are point solutions that are too narrow in focus, or they are too broad and collect too much of the wrong kind of data, which does not provide a way for technicians to pinpoint the root cause of a potential problem. Augury, a company based in Israel and the U.S., is changing the conversation around machine health by combining advanced sensor technology, artificial intelligence, and reliability expertise to provide accurate and actionable insights for an entire ecosystem of production line assets. According to Augury, every machine has a unique acoustic fingerprint.
Artificial intelligence (AI) company qure.ai is testing its application for chest X-Rays to detect tuberculosis (TB) with mobile TB screening programs in several developing countries. However, one issue the company encountered was the lack of PACS systems to run the software or the lack of internet connections in rural areas. This black box is a mini-server/computer the company provides to allow remote clinics a platform to run the AI and house the digital images.
What happens when the sensor-imbued city acquires the ability to see – almost as if it had eyes? Ahead of the 2019 Shenzhen Biennale of Urbanism\Architecture (UABB), titled "Urban Interactions," ArchDaily is working with the curators of the "Eyes of the City" section at the Biennial to stimulate a discussion on how new technologies – and Artificial Intelligence in particular – might impact architecture and urban life. Here you can read the "Eyes of the City" curatorial statement by Carlo Ratti, the Politecnico di Torino and SCUT. Technologies of the virtual realm present an opportunity to rethink the experience of space, society, and culture. They give us the possibility to engage with the city of the future, shaping the built environment of the 21st century.
Tech these days is often accused of encouraging forms of addiction, but emerging "cyborg" technology may offer an answer for treating the opioid epidemic. Embedding microchips in the brains of addicts could help to, essentially, rewire them. He's among millions of people in America affected by what has become a national plague that kills hundreds each day. He hopes, though, that the computer chip in his brain can break him from addiction's hold. His dependence took hold after he dislocated his shoulder when he was 15.
Near Infrared (NIR) Spectroscopy "Fourier-transform near infrared spectroscopy (FT-NIRS) rapidly and non-destructively predicts daily age and growth in otoliths of juvenile red snapper Lutjanus …" LINK "Desarrollo de Modelos NIRS de Predicción para el Análisis de la Finura de Fibras Textiles de Vicuña y Llama" LINK "fNIRS-GANs: Data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopy."