Tinder is to'swipe left' on catfishing as the popular dating app starts using artificial intelligence to check that profile photos uploaded by users are genuine. The photo verification feature will allow members to get their images authenticated by posing for a series of real-time selfies. Human-assisted artificial intelligence technology will then compare these submission to existing profile photos to confirm that they do match up. Once a person's photos have been verified, their profile will be granted a blue checkmark icon so that other users can trust their appearance is genuine. The verification feature is one of a number of dating safety features being added to Tinder, which will also gain a dedicated in-app safety centre and panic button.
Deep learning (DL) and machine learning (ML) methods have recently contributed to the advancement of models in the various aspects of prediction, planning, and uncertainty analysis of smart cities and urban development. This paper presents the state of the art of DL and ML methods used in this realm. Through a novel taxonomy, the advances in model development and new application domains in urban sustainability and smart cities are presented. Findings reveal that five DL and ML methods have been most applied to address the different aspects of smart cities. These are artificial neural networks; support vector machines; decision trees; ensembles, Bayesians, hybrids, and neuro-fuzzy; and deep learning.
Cohort of 14 U.S. and international startups to relocate to Bentonville for 12 weeks PRESS RELEASE – The first-ever Arkansas-based artificial intelligence and machine learning accelerator will launch later this month, with the goal of helping a cohort of startups within these fields connect to regional enterprise partners. The Fuel Accelerator, in its second iteration, will provide regular, hands-on education and workshops to a cohort of 14 companies from across the United States, Europe and Asia. These 14 companies will make their way to Northwest Arkansas, at the foot of the Ozark Mountains, for a 12-week, enterprise-ready accelerator that will provide them with access to other startup founders, industry experts, institutions of higher education, and public policy officials. Fuel launched in late 2018 with eight startups participating in a supply chain-focused, 16-week program. The program helped its first cohort nurture relationships with key Fortune 500 companies through feedback sessions, training, pilots and demos.
A group of high school students was one of the top teams to emerge from the recent AI Tech Sprint by the Department of Veterans Affairs, delivering a web application that could help match cancer patients to clinical trials. The three students from Northern Virginia entered their work in a competition that included software companies like Oracle Healthcare and MyCancerDB. Digital consulting company Composite App took the $20,000 first place prize for its solution -- a tool for helping patients stay on track with their care plan -- but the clinical trials team got an honorable mention. The tech sprint was organized by the VA's new AI institute, and it focused on partnering with outside organizations and companies interested in applying artificial intelligence tools and techniques to VA data. The high school team's members -- Shreeja Kikkisetti, Ethan Ocasio and Neeyanth Kopparapu -- met as part of the Northern Virginia-based nonprofit Girls Computing League.
No longer relegated to the ranks of science fiction, AI is rapidly becoming ubiquitous as one the most dynamic new fields in technology. But just as it cannot be consigned to fiction, AI cannot be reducible to any particular tech category, as it demonstrates applicability in an increasing array of different industries. Its core technologies - such as machine learning, deep learning, natural language processing (NLP) and computer vision - have enabled AI to penetrate and become indispensable in everything from autonomous vehicles, virtual assistants, energy, voice and text translation, retail, healthcare and more. And this is all happening fast. A report from Grand View Research, for instance, projects a compound annual growth rate (CAGR) for the global AI market of 46.2 percent from 2019 to 2025.
"We are already at the point where you can't tell the difference between deepfakes and the real thing," Professor Hao Li of the University of Southern California tells the BBC. We are at the computer scientist's deepfake installation at the World Economic Forum in Davos which gives a hint of what he means. Like other deepfake tools, his software creates computer-manipulated videos of people - often politicians or celebrities - that are designed to look real. Most often this involves "face swapping", whereby the face of a celebrity is overlaid onto the likeness of someone else. As I sit, a camera films my face and projects it onto a screen in front of me; my features are then digitally mapped.
While most executives at financial institutions agree that artificial intelligence (AI) is important to their organization's success, few have fully implemented AI projects. In a recent Cognizant survey of 230 financial services executives, three-quarters said AI is extremely or very important to the success of their organizations. However, only 61% of those were aware of an AI project at their company. Even more telling, only 29% were aware of a project that had been fully implemented. Clearly, AI is quickly becoming a competitive requirement, creating the risk that those who are not implementing or updating AI capabilities will fall behind.
This blog post is adapted from our June 10 response to the National Institute of Standards and Technology's (NIST) request for information (RFI) 2019-08818: Developing a Federal AI Standards Engagement Plan. This RFI was released in response to an Executive Order directing NIST to create a plan for the development of a set of standards for the acceptable use of AI technologies. Given the wide adoption of AI technologies and the lag in commensurate laws and regulations, this post aims to help NIST by highlighting the current state, plans, challenges, and opportunities in ethics and AI. In 2016 the European Union (EU) created the General Data Protection Regulation (GDPR) that would expand protections around EU citizens' personal data beginning in 2018. Meanwhile, China has extensively integrated AI technologies into their government and social structure via the China Social Credit System.
Everyone take a deep breath and calm down. The likeliness of a robot taking over your job any time soon is very low. Yes, artificial intelligence (AI) is a growing trend, and machine learning has improved by leaps and bounds. However, the information technology career field is fairly safe, and if anything, AI/machine learning will only make things better for us in the future. However, a few IT jobs already have experienced the impact of AI, and I want to cover those here.
Temenos AG, a Geneva-based banking software company, announced the launch of its banking-as-a-service platform in the U.S., which it says can help launch a digital banking platform go live in 90 days. The Tenemos SaaS platform is designed to offer a range services like digital onboarding, know-your-customer verification, personal financial management and support for artificial intelligence, chatbots, wearables and other technology, according to a press release. "With our new U.S. front-to-back SaaS product for digital banks, we will revolutionize the software banking landscape in the U.S., which is a highly strategic market for us," Max Chuard, CEO of Temenos, said in the release. Temenos has worked with some of the fastest growing challenger banks in the U.S, including Grasshopper and Varo Money, Volt Bank and Judo Bank in Australia and Leumi's Pepper in Israel, according to the release. Temenos also works with incumbent financial institutions, including Commerce Bank and Partners Federal Credit Union, in Burbank, California.