WASHINGTON, D.C. – One of the most contentious battles in politics isn't just the current battle for the White House, it's also the upcoming battle over who could ultimately end up in the halls of Congress and state capitols everywhere, in a process called redistricting. "The basic idea underlying that system is that we should form a constituency with people who live near us," said Charles Blahous, a senior research strategist at the Mercatus Center at George Mason University in Virginia. New district maps are created based on census population numbers every 10 years. Yet, those maps can end up getting distorted to favor one political party over another when gerrymandering comes in to play. "I think gerrymandering is of concern to most voters because it seems to violate the foundational principle of our representative system, which is that we are divided into districts geographically," Blahous said.
Today any smartphone can generate 3D Photos, but the popular AI-powered effect is actually fairly new. It was back in 2018 that Facebook first introduced a machine learning-based 3D photo feature that allowed users to generate an immersive 3D image from normal 2D pictures. Leveraging the dual-lens "portrait mode" capabilities that had recently become available in smartphones, the feature quickly gained traction and began evolving. This June, a research team from Virginia Tech, National Tsing Hua University and Facebook designed an algorithm that generates even more immersive 3D photos from a single RGB-D (colour and depth) image. And in August, Facebook democratized the technique with a novel system able to generate 3D photos even on low-end mobile phones or without an Internet connection. Facebook isn't the only tech giant using AI to generate 3D photos -- in recent months, Google has introduced its own AI techniques for generating 3D photos from 2D images.
The RCMP awarded a new social media monitoring contract Sept. 2 to a U.S. company that uses artificial intelligence to track what's said on the web. Virginia-based Babel Street says its software can instantly translate between 200 languages and filter social media content by geographic areas and by sentiments expressed. We can't let journalism fade away. Contribute to The Tyee so we can add to our team. Two lucky Tyee readers will win an all-access ticket to this annual literary event.
IMAGE: Working in coal mines might make people more susceptible to serious complications from COVID-19. Larissa Casaburi, a researcher in the WVU School of Medicine, is using artificial intelligence to study... view more Artificial intelligence can do more than recommend a song or suggest what to write in an email. It might even be able to predict outcomes in COVID-19 patients. Larissa Casaburi, a researcher in the West Virginia University School of Medicine, is using artificial intelligence to study how being a coal miner affects COVID-19 outcomes. She's also investigating the ways smoking, vaping and having a chronic lung condition influence how COVID-19 patients fare.
Video completion is a challenging computer vision task that involves filling a given space-time region with newly synthesized content -- in effect, revealing the unseen. Video completion has been widely applied in applications such as video restoration, editing, watermark/logo removal, etc. Most advanced video completion methods are flow-based: synthesizing colour and flow jointly and propagating colour along flow trajectories to improve temporal coherence. Now, researchers from Virginia Tech and Facebook have introduced a novel flow-based video completion algorithm that compares favourably with the state-of-the-art in the field. Existing flow-based video completion methods have the following three limitations: they are unable to synthesize sharp flow edges and so tend to produce over-smoothed results; the chained flow vectors between adjacent frames can only form continuous temporal constraints, which prevents constraining and propagating to many parts of a video; and they propagate colour values directly without considering factors such as lighting changes, shadows and so on. The researchers validated their proposed method on 150 video sequences from the DAVIS dataset, where visual and quantitative results show that the proposed method compares favourably with state-of-the-art algorithms.
Objects can be removed from videos, and the field of vision of the camera can be expanded entirely thanks to a new AI-powered technique. Hollywood movie studios invest significant time and money editing out unwanted objects from video footage. Machine learning has the potential do the same job at a fraction of the cost but it has rarely been used to visualise what lies behind objects, or outside the film frame.
An image or video can be spoiled if there is a distracting object in the foreground, but a new artificial intelligence tool can help by digitally removing the unwanted obstruction. The AI can take out fences, raindrops and reflections in a window, and it might eventually be available on smartphones. The idea came to Jia-Bin Huang at Virginia Tech University when he visited a zoo and was frustrated at his inability to get a good photo of the animals.
Citibot is a technology company that builds AI-powered chat solutions for local governments such as Fort Worth, Texas; Charleston, South Carolina; and Arlington, Virginia. With Citibot, local residents can quickly get answers to city-related questions, report issues, and receive real-time alerts via text responses. To power these interactions, Citibot uses Amazon Lex, a service for building conversational interfaces for text and voice applications. Citibot built the chatbot to handle basic call queries, which allows government employees to allocate more time to higher-impact community actions.
West Creek 5 (12075), United States of America, Richmond, Virginia Sr. Digital Product Manager – Commercial Bank Capital One is the only founder-led Top 10 bank in the US. We have a mission to Change Banking for Good and we are transforming how people interact with their money. We offer industry-leading credit cards, checking accounts, savings accounts, brokerage accounts, car loans, home loans, and other financial products that are central to the way that more than 65 million people live every day. Our Product Managers play a critical role in achieving our mission. They lead teams of designers, engineers, data scientists and analysts to define product strategy and develop, launch, and enhance products and services that drive our business forward. We are selectively recruiting for a product manager to focus on the reinvention of how commercial clients interact with their bank in digital channels to position Capital One for growth. General Responsibilities:As a product leader you will: Relentlessly push to understand customer needs and ensures customer is considered in prioritization and trade-off discussions Set product vision and lead road mapping, goal setting, story writing, project execution, A/B testing, and product roll-out strategy Identify unmet needs and disruption opportunities and guide interdisciplinary teams to deliver innovative products to market. Test and iterate in small-scale pilots to validate concepts, refine them to achieve product-market fit, and then scale to drive vertical and horizontal economics Define learning agenda and key performance indicators (KPIs) to measure success/failure Regularly and systematically use data to uncover opportunities, track product performance, and drive decision making Leads a team through rigorous process of test and learn with focus on identifying and developing a minimum viable product (MVP) Prioritize, negotiate and remove blockers to orchestrate successful launch or optimization cycle Serve as subject matter expert, contributing practitioner, thought leader, career guide and mentor to teams Establish or participate in Design Thinking, Agile, and LEAN rituals which establish rhythm for the team, promote ongoing communication, and iterative refinement of roadmaps You should have the following: Proven experience in and passion for building and shipping great products Exceptional communication skills Creative problem solver who lives at the intersection of Human, Business and Technology dimensions. Deep fluency and experience in at least two dimensions and understanding of the third. Blend of strategic and tactical thinking, creative and analytic reasoning Strong quantitative background to support data-informed decision making Creative, outside-the-box thinking and problem solving approach Entrepreneurial ability to identify and prioritize opportunities in highly ambiguous contexts Deep planning skills with the ability to organize thematic work areas in deep detail with long term vision and iterative execution Collaborative, team player attitude with the ability to navigate and influence the organization. Proven ability to attract, retain and develop top talent Product Managers Experience shipping multiple products across variety of platforms and channels Engineering, design, MBA and/or start-up founder experience Fluency in human-centered product discovery methods such as design thinking and service design Industry or hobbyist experience with emerging and leading technologies across disciplines (IoT, Machine Learning, Voice interfaces, etc) Track record of defining strategy, creating advocacy/alignment and being accountable for outcomes Basic Qualifications: Bachelor’s Degree or military experience At least 5 years of experience in digital product management Preferred Qualifications: Bachelor’s Degree in Computer Science or Engineering MBA or Master’s degree 5+ years of experience translating business strategy and analysis into consumer facing digital products 5+ years of experience in Agile product management At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
MedaCy is a text processing and learning framework built over spaCy to support the lightning fast prototyping, training, and application of highly predictive medical NLP models. It is designed to streamline researcher workflow by providing utilities for model training, prediction and organization while insuring the replicability of systems. MedaCy is actively maintained by a team of researchers at Virginia Commonwealth University. The best way to receive immediate responses to any questions is to raise an issue. Make sure to first consult the API.