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Top Artificial Intelligence Investments and Funding in May 2020

top artificial intelligence investments and funding in may 2020

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The startup scenario is being changed by bringing in investment and deal activity around intelligent automation and artificial intelligence, big data and machine learning. The data plainly demonstrates that new businesses that had AI as a core product are creating narrow AI tech packed away with the heaviest investment from leading VC firms and investors who are putting vigorously in deep tech startups in big data, enterprise AI and automation. It likewise underscores a great part of the financing going on in domain explicit breakthrough innovations, and not broadly useful AI tech.
Investment funds, venture capital (VC) firms and corporate financial specialists are venturing up equity investments in artificial intelligence (AI) start-ups, mirroring a developing worldwide interest for AI advances and their business applications.
The aggregate sum contributed and the worldwide number of deals has expanded enormously since 2011, yet wide varieties in investment profiles develop among nations and areas.
Let’s look at some of the top AI investments which took place in the month of May 2020.

Runa Capital
Runa Capital has closed its third investment fund with $157 million to back startups in deep tech areas such as artificial intelligence and quantum computing. The firm said Runa Capital Fund III …

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Congress Seeks Creation of National Research Cloud for Artificial Intelligence

congress seeks creation of national research cloud for artificial intelligence

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A bipartisan cadre of tech-focused legislators in the House and Senate have introduced legislation that would direct the federal government to develop a national cloud computing infrastructure for artificial intelligence research.Introduced by Sens. Rob Portman, R-Ohio, and Martin Heinrich, D-N.M., Thursday, the National Cloud Computing Task Force Act would convene a mix of technical experts across academic, industry and government. The group would develop a nuanced roadmap for how the nation should build, deploy, govern and sustain a national research cloud for AI.“With China focused on toppling the United States’ leadership in AI, we need to redouble our efforts with a sustained commitment to the best and brightest by developing a national research cloud to ensure our technical researchers get the tools they need to succeed,” Portman said in a statement.  “By democratizing access to computing power we ensure that any American with computer science talent can pursue their good ideas.”The bill follows China’s increased investment in AI and other emerging technologies. A report submitted to Congress by the National Security Commission on Artificial Intelligence outlined how quickly China is closing in on the United States’ tech research hold. The report said the United States “ …

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Library continues Artificial Intelligence series

library continues artificial intelligence series

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Published

9:30 am EDT, Friday, June 5, 2020

Dr. Laxmi Parida
Dr. Laxmi Parida

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Dr. Laxmi Parida
Dr. Laxmi Parida

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Library continues Artificial Intelligence series

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The Ridgefield Library continues its new series called The Future is Now: Artificial Intelligence in 2020, on Thursday, June 18, at 6 p.m., via a live online webinar with Dr. Laxmi Parida who will discuss AI in the Life Sciences.

Artificial Intelligence (AI) is no longer confined to Computer Science Departments but has infiltrated almost all other fields of research and even our daily lives. AI has grown exponentially as a news topic and we are surrounded by devices that watch, listen, and even talk to each other! Given its ubiquity, it is pertinent to understand what AI is and what it is not. Is it the “groundwater” for the future’s thirst for convenience and quality of life? Dr. Laxmi Parida will focus on the role of AI in the Life Sciences: its limitations, its current influences and what, she believes, it is poised to achieve in the coming decades.

Dr. Laxmi Parida is an IBM Fellow, master inventor, and heads …

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Using Artificial Intelligence to determine COVID-19 severity

using artificial intelligence to determine covid-19 severity

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iStock-MF3d
New technologies are informing the response to COVID-19 across the world, and a new mobile phone app is now using Artificial Intelligence (AI) to determine COVID-19 disease severity.
Using data from China and New York, the new mobile app, which has been developed by researchers NYU College of Dentistry, works to help clinicians identify which COVID-19 patients are most at risk of suffering a high severity of the disease. The Artificial Intelligence (AI) is used to help the clinicians assess the risk factors and identify biomarkers from blood tests.
The findings have been published Royal Society of Chemistry journal Lab on a Chip.
Technology supporting the fight against COVID-19
This new mobile app could be a vital tool in the fight against COVID-19 as current tests only test whether someone does or does not have the virus, not how sick they may become.
Lead researcher John McDevitt, professor of biomaterials at NYU College of Dentistry, said: “Identifying and monitoring those at risk for severe cases could help hospitals prioritise care and allocate resources like ICU beds and ventilators. Likewise, knowing who is at low risk for complications could help reduce hospital admissions while these patients are safely managed …

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Portman introduces artificial intelligence bill

portman introduces artificial intelligence bill

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Sen. Rob Portman recently introduced a bill with bipartisan backing to develop a national cloud computer for AI research, which would allow those with barriers to entry or facing hurdles to more efficiently progress their work.The bill, if passed, would establish a task force to develop a roadmap for development of AI technology, which figures to have wide ranging impacts on fields such as health care, transport and communications, among others, over the next few decades.Artificial intelligence is the simulation of human intelligence processes, learning, in machines.

According to a release from Portman’s office, the legislation would convene a group of technical experts across academia, government, and industry to develop a detailed roadmap for how the United States can build, deploy, govern, and sustain a national research cloud.A companion bill has been introduced in the U.S. House of Representatives.“We cannot take America’s AI leadership for granted. With China focused on toppling the United States’ leadership in AI, we need to redouble our efforts with a sustained commitment to the best and brightest by developing a national research cloud to ensure our technical researchers get the tools they need to succeed,” said Portman.“This …

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Artificial intelligence developed in Lincoln saving lives

artificial intelligence developed in lincoln saving lives

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A small tech start-up company in Lincoln, NE, is teaching computers and sensors to “think” like humans in order to save lives. And the company just won a Healthcare Innovation Award from Microsoft.“Everything we do is centered around the nurse. It’s about the nurse,” said Steve Keine, founder and CEO of Ocuvera.The company of 15 people created a device using artificial intelligence that they said can prevent patient falls in hospitals by “predicting” when a person is going to exit the bed. Many hospital falls are attributed to a confused, weak, or unaccompanied patient trying to leave bed.“In the U.S. there are over a million hospital falls a year, a third of those falls result in an injury the hospital is responsible for and 11,000 die as a result of that fall,” said Keine.Keine and his team started developing the remote, wall-mounted device 8 years ago. It uses a camera-like sensor connected to a computer that’s programmed with more than 100,000 real patient videos that help the computer predict whether a patient is trying to get out of bed. For privacy, the image produced by the sensor doesn’t show detail, but an image of the person …

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Algorithm approach limits artificial intelligence

algorithm approach limits artificial intelligence

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This is the second installment in a series. Read part 1 here.

The ultimate root of the stupidity of AI systems, I argue, lies in their strictly algorithmic character. AI as presently understood is based on digital processing systems that carry out binary-numerical operations in a step-by-step fashion according to fixed sets of algorithms, starting from an array of numerical inputs.

Some may object to this characterization, pointing out that AI systems can constantly change their own “rules” – reprogramming themselves, so to speak. That is true; but the self-reprogramming must follow some algorithm. The same applies to the processes by which the system reacts to various inputs. Ultimately each AI system is governed by a set of rules and procedures that are embodied in the design of the system, and that remain unchanged during its operation as long as the system remains intact.   

Alan Turing, one of the great pioneers of artificial intelligence, succeeded in giving a precise definition for the general notion of “algorithm” or “mechanical procedure,” which subsumes all AI systems that could possibly be realized on the basis of digital hardware. Turing demonstrated that any such system is mathematically equivalent to an abstract entity now known as a “ …

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Artificial intelligence to serve feed analysis

Information Access and Management (IAM) Platform powers IAM Network - 60,000 + engaged information professionals worldwide.

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Lallemand Animal Nutrition announced a new partnership with CEA to design NUMCELL, a technology to quantify live yeast cells within a range of feed materials, free from the time constraints of culture-based numeration techniques.

According to the announcement, this new tool is based on CEA Lensfree imaging technology. After several years of development, NUMCELL can now be used by Lallemand analysis laboratory to speed up analysis processes, with a goal of continuous improvement of customer support services.

Mathieu Castex, research and development director at Lallemand Animal Nutrition, said, “Our customer analysis department processes thousands of analyses a year, and increasing our throughput is key to improve our customers’ experience. Having benchmarked many techniques for quantifying microorganisms, we selected the technology developed by CEA for its robustness and high potential.

“After several years of development, we now have a new tool, easy to implement and much faster than the conventional microbiological count. The numeration of live yeast cell within any feed type (pellets, mash and more) can now be achieved automatically with a dedicated software,” Castex added. “We just entered a new phase of the project aimed at automatizing and improving the processing flow in a view to always improve support …

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Interim director takes over Joint Artificial Intelligence Center

interim director takes over joint artificial intelligence center

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As he departs, the Department of Defense’s top artificial intelligence official says the foundation is set for the Joint Artificial Intelligence Center—now it has to deliver. “The foundational elements are now in place. What we have to do in the course of the next one to two years is deliver. This is about delivery first and foremost,” said Lt. Gen. Jack Shanahan at a virtual Mitchell Institute event June 4. “What we have to do is show that we’re making a difference.” The Department of Defense announced that Shanahan would be departing this summer back in January. Shanahan took over the JAIC in December 2018. Before that he oversaw Project Maven, a pathfinder effort working to utilize AI and machine learning for analyzing full-motion video. Over his year and a half tenure at the JAIC, Shanahan has grown the organization from just a handful of people to a fully operational team with funding and adequate staffing. As the center’s first director, Shanahan rhetorically pushed the focus on military AI away from the idea of killer robots and towards data analysis and maintenance efforts. He oversaw both the JAIC’s efforts to develop five principles of AI for DoD …

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