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Teaching AI to perceive the world through your eyes

#artificialintelligence

AI that understands the world from a first-person point of view could unlock a new era of immersive experiences, as devices like augmented reality (AR) glasses and virtual reality (VR) headsets become as useful in everyday life as smartphones. Imagine your AR device displaying exactly how to hold the sticks during a drum lesson, guiding you through a recipe, helping you find your lost keys, or recalling memories as holograms that come to life in front of you. To build these new technologies, we need to teach AI to understand and interact with the world like we do, from a first-person perspective -- commonly referred to in the research community as egocentric perception. Today's computer vision (CV) systems, however, typically learn from millions of photos and videos that are captured in third-person perspective, where the camera is just a spectator to the action. "Next-generation AI systems will need to learn from an entirely different kind of data -- videos that show the world from the center of the action, rather than the sidelines," says Kristen Grauman, lead research scientist at Facebook.


Moscow metro launches facial recognition payment system despite privacy concerns

Engadget

More than 240 metro stations across Moscow now allow passengers to pay for a ride by looking at a camera. The Moscow metro has launched what authorities say is the first mass-scale deployment of a facial recognition payment system. According to The Guardian, passengers can access the payment option called FacePay by linking their photo, bank card and metro card to the system via the Mosmetro app. "Now all passengers will be able to pay for travel without taking out their phone, Troika or bank card," Moscow mayor Sergey Sobyanin tweeted. In the official Moscow website's announcement, the country's Department of Transport said all Face Pay information will be encrypted.


The Best Resources To Learn Python for Machine Learning

#artificialintelligence

Python is now the de facto language of choice for machine learning. Although it is easy to learn, you can find some helpful tips that will help you get started or improve your knowledge. This post will show you how to learn programming languages and how to get help. You can learn a language in many different ways, whether you are learning it from a natural language like English or coding languages like Python. Baby learns a language by mimicking and listening.


Data Scientist Intern - Summer 2022

#artificialintelligence

Do you want to help connect people all over the world, and work on a team building the next generation of planet-scale AR games? We're looking for hardworking people to help our company become more data-focused - folks with the ability to be dedicated, thorough, and independent while working in a dynamic, fast-paced environment. Niantic is the world's leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction. Originally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners.


Ethics of AI

#artificialintelligence

Welcome to the Ethics of AI! The Ethics of AI is a free online course created by the University of Helsinki. The course is for anyone who is interested in the ethical aspects of AI – we want to encourage people to learn what AI ethics means, what can and can't be done to develop AI in an ethically sustainable way, and how to start thinking about AI from an ethical point of view.


Data-Centric AI with Snorkel AI: The Enterprise AI Platform

#artificialintelligence

The paper [5] also gives updates on Snorkel's industry use cases with even more applications at scale, for example, Google in Snorkel Drybell to scientific work in MRI classification and automated Genome-wide association study (GWAS) curation, both accepted in Nature Comms.


What is Artificial Intelligence as a Service (AIaaS)?

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Software as a Service, or SaaS, is a concept that is familiar to many. Long-time Photoshop users will recall when Adobe stopped selling its product and instead shifted to a subscriber model. Netflix and Disney are essentially Movies as a Service, particularly at a time when ownership of physical media is losing ground to media streaming. Artificial Intelligence as a Service (AIaaS) has been growing in market adoption in recent years, but the uninitiated might be asking: what exactly is it? In a nutshell, AIaaS is what happens when a company develops and licenses use of an AI to another company, most often to solve a very specific problem.


The Future of Artificial Intelligence

#artificialintelligence

Federal agencies aim to advance their use of artificial intelligence and accompanying emerging technologies, like machine learning, in the coming years. While there are some examples of nascent uses of AI across government already, agencies are aware they must set goals and prioritize policies that intelligently usher in the technology before its maximum potential can be fulfilled. The U.S. Postal Service, for example, will focus on AI and its potential over the coming decade to better serve its hundreds of millions of customers. Similarly, the Department of Homeland Security's science and tech arm spent almost a year drafting an artificial intelligence and machine learning framework that will guide the agency's enterprisewide pursuits of those technologies for the coming years. The government's standard-setting body, the National Institute of Standards and Technology, is engaging external stakeholders as it works to develop an AI risk management framework that could later inform and benefit agencies seeking to make use of the emerging technology.


U.S. offers payments and relocation to family of Afghans killed in botched drone attack

The Japan Times

The Pentagon has offered unspecified condolence payments to the family of 10 civilians who were killed in a botched U.S. drone attack in Afghanistan in August during the final days before American troops withdrew from the country. The U.S. Defense Department said it made a commitment that included offering "ex-gratia condolence payments," in addition to working with the U.S. State Department in support of the family members who were interested in relocation to the United States. Under Secretary of Defense for Policy, held a virtual meeting on Thursday with Steven Kwon, the founder and president of Nutrition & Education International, the aid organization that employed Zemari Ahmadi, who was killed in the Aug. 29 drone attack, Pentagon Press Secretary John Kirby said late on Friday. Ahmadi and others who were killed in the strike were innocent victims who bore no blame and were not affiliated with Islamic State Khorasan or threats to U.S. forces, Kirby said. The drone strike in Kabul killed as many as 10 civilians, including seven children.


Embeddings in Machine Learning: Everything You Need to Know

#artificialintelligence

I like puppies and soulcycle. Embeddings have pervaded the data scientist's toolkit, and dramatically changed how NLP, computer vision, and recommender systems work. However, many data scientists find them archaic and confusing. Many more use them blindly without understanding what they are. In this article, we'll deep dive into what embeddings are, how they work, and how they are often operationalized in real-world systems. To understand embeddings, we must first understand the basic requirements of a machine learning model. Specifically, most machine learning algorithms can only take low-dimensional numerical data as inputs. In the neural network below each of the input features must be numeric. That means that in domains such as recommender systems, we must transform non-numeric variables (ex.