District of Columbia


Uber is bringing its self-driving cars to Washington, DC

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Uber's self-driving cars will soon be jockeying for space on the streets of Washington, DC, with the ride-hailing company announcing it will begin collecting data to support the development of its fleet of autonomous vehicles. The vehicles will not be operating in autonomous mode, though. They will instead be operated by human drivers to start out, collecting mapping data and capturing driving scenarios which Uber's engineers will then reproduce in simulation. That said, the company hopes to eventually allow its self-driving cars in Washington to, well, self-drive. "Our hope is that this first round of manually driven data collection will lay the foundation for testing our vehicles in self-driving mode in Washington, DC," the company's Advanced Technologies Group said in a Medium post.


Artificial intelligence firm TheIncLab expands to Tampa

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A tech company that works to develop artificial intelligence-enabled systems that learn and collaborate with humans is expanding to Tampa. TheIncLab, based near Washington D.C., has opened an "AI X lab" -- that is, artificial intelligence plus experience -- at the Undercroft, a tech development center and membership guild for companies focused on cybersecurity. Along with TheIncLab, the Undercroft provides work space for local offices of BlackHorse Solutions, Sharp Decisions, @Risk Technologies and Bull Horn Communications. The Undercroft has offices in one of Ybor City's most historic structures, the El Pasaje building on E Ninth Avenue. Built in 1886, it originally housed the Cherokee Club, a private retreat for for wealthy cigar-makers.


Copyright in the Age of Artificial Intelligence

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On Wednesday, February 5, 2020, the U.S. Copyright Office and the World Intellectual Property Organization (WIPO) are co-sponsoring Copyright in the Age of Artificial Intelligence 9:00 a.m. to 5:00 p.m. eastern time in the Montpelier Room of the Library of Congress, James Madison Memorial Building, in Washington, DC. This event will take an in-depth look at how the creative community currently is using artificial intelligence (AI) to create original works. Panelists' discussions will include the relationship between AI and copyright; what level of human input is sufficient for the resulting work to be eligible for copyright protection; the challenges and considerations for using copyright-protected works to train a machine or to examine large data sets; and the future of AI and copyright policy. Maria Strong, Acting Register of Copyrights and Director of the U.S. Copyright Office, will provide opening remarks and Francis Gurry, Director General, WIPO, will provide the opening keynote. The event is free and open to the public.


Artificial intelligence innovation lab sets up shop in Ybor City

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A few months after taking part in Tampa Bay Wave's TechDiversity accelerator, TheIncLab has established an office in Ybor City. The company, headquartered in Washington, D.C. and with an office in Nashville, develops artificial intelligence-based systems designed to learn and collaborate with humans. On Monday, the company moved into The Undercroft, a cybersecurity guild and development center in Ybor City. Local civic, business and government leaders have been pushing to grow the technology sector, so the TheIncLab's decision to open an office here comes as welcome news. "TheIncLab's announcement is further proof that Tampa's reputation as a rising tech market is gaining national attention and attracting some really innovative companies," said Marie Chinnici-Everitt, managing director of The Depository Trust & Clearing Corp. and chair of the Tampa Bay Economic Development Council.




Self-driving cars: Hype-filled decade ends on sobering note

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Washington, DC (CNN Business)The calendar will soon turn to 2020, and you can be forgiven if you're wondering where your self-driving car is. A decade of hype and bold predictions is coming to a quiet end.


Why We Need More Women in STEM and How AI Could Help Us Get There

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Recently, Dr. France A. Córdova, director of the National Science Foundation, gave a presentation at the U.S. Council on Competitiveness meeting in Washington, D.C. She holds an extraordinary record of accomplishment and has made a tremendous impact on academia and the U.S.'s scientific community. Córdova is also the youngest person -- and first woman -- to serve as Chief Scientist at NASA. Her journey began with her love for STEM. In some ways, the future of work is largely linked to STEM.


Dimension of Reservoir Computers

arXiv.org Machine Learning

T. L. Carroll US Naval Research Lab, Washington, DC 20375 (Dated: December 16, 2019) A reservoir computer is a complex dynamical system, often created by coupling nonlinear nodes in a network. The nodes are all driven by a common driving signal. In this work, three dimension estimation methods, false nearest neighbor, covariance and Kaplan-Yorke dimensions, are used to estimate the dimension of the reservoir dynamical system. It is shown that the signals in the reservoir system exist on a relatively low dimensional surface. Changing the spectral radius of the reservoir network can increase the fractal dimension of the reservoir signals, leading to an increase in testing error. A reservoir computer uses a complex dynamical system to perform computations. The reservoir is often created by coupling together a set of nonlinear nodes. Each node is driven by a common input signal. The time series responses from each node are then used to fit a training signal that is related to the input. The training can take place via a least squares fit, while, the connections between nodes are not altered during training, so training a reservoir computer is fast. Reservoir computers are described as "high dimensional" dynamical systems because they contain many signals, but the concept of dimension is rarely explored. A reservoir with M nodes defines an M dimensional space, but the actual signals in the reservoir may live on a lower dimensional surface. Two different dimension estimation methods are used to find the dimension of this surface. Counterintuitively, as the dimension of this surface increases, the fits to the training signal become worse. The increase in reservoir dimension can be explained by a well known effect in driven dynamical systems that causes signals in the driven system to have a higher fractal dimension than the driving signal.


Otter is AI for Accessibility

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Sign in to report inappropriate content. Otter.ai was selected by the USDA TARGET center to present the AI-powered Otter Voice Notes to the federal agencies on May 15, 2019, for the event called #InnovationAtWork in Washington, D.C, showcasing the latest assistive technology helping people living with disabilities.