There's a long-running line of children's books where you provide the kid's details – name, age, favourite hobbies – and they all get mail-merged into the narrative, making the youngster the central character in their own story and providing the illusion of personalisation at a low cost. Ready Player Two, the sequel to the hugely popular Ready Player One, offers a similar experience. Like its predecessor, it's a tedious slog through arcane pop culture references – The Silmarillion, the music of Prince, the movies of John Hughes – sprinkled in so lazily that you could replace them with your own favourites, or swap them right out and be left with a much shorter, and probably better book. The action picks up immediately after the events of Ready Player One, which is set in the near-future, in a world where vast swathes of the population spend most of their day living inside a virtual reality simulation called the OASIS, to escape from the poverty, crime and general awfulness of life on Earth. The protagonist, Wade Watts, is a nerdy teenager living in the'stacks' outside Oklahoma City – a shanty-town comprised of literal stacks of trailers and RVs – who devotes all of his time to an in-OASIS treasure hunt devised by billionaire James Halliday, the late co-creator of the simulation, as a Willy Wonka-esque means to find an heir to his fortune.
But that doesn't mean the technology is entirely useless. Sony's new Spatial Reality Display (or SR Display), for example, uses eye-tracking technology to render believable 3D objects, without the need to wear 3D glasses or put on a VR headset. It's something CG and VR artists could use to preview their work easily. And no, it's not meant for consumers -- not at its $5,000 price, anyway. Sony first previewed the SR Display at CES this year, where it was called its "Eye-Sensing Light Field Display."
NORMAN –Talayeh Razzaghi, an assistant professor in the School of Industrial and Systems Engineering, University of Oklahoma Gallogly College of Engineering, is leading a project using machine learning and artificial intelligence techniques to predict when pregnant women may have an increased risk of preeclampsia. "Preeclampsia is a subtype of hypertension (high blood pressure) developed during pregnancy that can lead to serious, even fatal, complications for both the mother and the fetus," Razzaghi said. "Our central hypothesis is that machine learning-based models can fundamentally transform clinicians' existing decision support tools for detection and monitoring preeclampsia for minority groups by addressing the key issues specific to preeclampsia datasets. This approach assists clinicians in the prognosis of adverse delivery outcomes. In particular, the research methodology in this study addresses biases and outcome health delivery disparities among Hispanic and Native populations in Oklahoma and Texas."The
NORMAN –Talayeh Razzaghi, an assistant professor in the School of Industrial and Systems Engineering, University of Oklahoma Gallogly College of Engineering, is leading a project using machine learning and artificial intelligence techniques to predict when pregnant women may have an increased risk of preeclampsia. "Preeclampsia is a subtype of hypertension (high blood pressure) developed during pregnancy that can lead to serious, even fatal, complications for both the mother and the fetus," Razzaghi said. "Our central hypothesis is that machine learning-based models can fundamentally transform clinicians' existing decision support tools for detection and monitoring preeclampsia for minority groups by addressing the key issues specific to preeclampsia datasets. This approach assists clinicians in the prognosis of adverse delivery outcomes. In particular, the research methodology in this study addresses biases and outcome health delivery disparities among Hispanic and Native populations in Oklahoma and Texas."
Get local stories sent straight to your inbox as news breaks. The University of Oklahoma has received a $20 million grant to research artificial intelligence, which is being called a historic milestone in environmental science. "Let me give an AI definition, because you've probably only seen it in the movies portrayed as the scary robot that comes in and kills everybody. That's not what AI is," OU professor Amy McGovern said. "So, we'll be creating AI methods that will help improve prediction and understanding of tornadoes and hail and wind."
Why a Great Opportunity This is an American startup company that released a head-mounted virtual retinal display, called Magic Leap One, which superimposes 3D computer-generated imagery over real world objects, by "projecting a digital light field into the user's eye" involving technologies potentially suited to applications in augmented reality and computer vision. It is attempting to construct a light-field chip using silicon photonics. Job Description Job Description We have an exciting opportunity on our Software team for a strong leader with exceptional development/research skills in the field of Deep Learning. The primary responsibility of the Director, Deep Learning is to lead the research and development of multiple core perception components across multiple organizations spanning beyond the Perception group. The candidate's responsibilities extend to working closely with the executive team to establish the scope and schedule of the product critical projects, driving the formation of technical teams and ensuring a cohesive alignment of all essential technical expertise by setting optimal communication strategies.
A historian of technology and race responds to Tochi Onyebuchi's "How to Pay Reparations." Tochi Onyebuchi's "How to Pay Reparations" spoke to me. Its themes rang virtually every note of my twentysomething-year-long career. In 1998, I made my first digital footprint with a signed online petition in support of reparations for the Tulsa race riots. I endured countless run-ins with Oklahoma good ol' boys while crisscrossing the state, working for candidates representing a perpetually losing political party.
Yesterday, the National Science Foundation (NSF) and the US Department of Agriculture's National Institute for Food and Agriculture (USDA-NIFA) announced investment to establish seven new artificial intelligence (AI) research institutes. Each centre will receive roughly $20 million over a five year period. The aim is that these new institutes will serve as hubs in a broader nationwide network. NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, led by a team at the University of Oklahoma. The institute plans to develop user-driven trustworthy AI that addresses pressing concerns in weather, climate, and coastal hazards prediction.
The White House Office of Science and Technology Policy, the National Science Foundation (NSF), and the US Department of Energy (DOE) announced more than $1 billion in awards for the establishment of 12 new artificial intelligence (AI) and quantum information science (QIS) research institutes nationwide. The $1 billion will go towards NSF-led AI Research Institutes and DOE QIS Research Centers over five years, establishing 12 multi-disciplinary and multi-institutional national hubs for research and workforce development in these critical emerging technologies. Together, the institutes will spur cutting edge innovation, support regional economic growth, and advance American leadership in these critical industries of the future. The National Science Foundation and additional Federal partners, including the US Department of Agriculture, are awarding $140 million for seven NSF-led AI Research Institutes over five years to accelerate a number of AI R&D areas, such as machine-learning, synthetic manufacturing, precision agriculture, and forecasting prediction. The NSF-led AI Research Institutes will be hosted by universities across the country, including at the University of Oklahoma at Norman, University of Texas at Austin, University of Colorado at Boulder, University of Illinois at Urbana-Champaign, University of California at Davis, and the Massachusetts Institute of Technology.
Expanding its use of artificial intelligence techniques to improve forecasting, the National Center for Atmospheric Research (NCAR) is taking part in a major national initiative to advance AI in research and education. NCAR will collaborate with the University of Oklahoma and other leading institutions on the new National Science Foundation (NSF) AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography. NSF announced an investment of more than $100 million to establish this institute and six others, the result of a national competition to support research and education hubs at U.S. colleges and universities. The goal of the AI institutes is to "bring together academia, industry, and government to unearth profound discoveries and develop new capabilities advancing American competitiveness for decades to come," said NSF director Sethuraman Panchanathan. NCAR will focus on conducting AI and risk communication research to better understand the Earth system and advance forecasts in ways that are most useful for helping society manage hazardous weather risks.