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SpaceX Vs Blue Origin: Who Wins The Space Race

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The space projects have been dominated by government bodies until we saw the ambitious companies such as SpaceX and Blue Origin diving into this diverse area. These two are the most prominent names in the private space community and are often put on a face-off due to the similarity of its founders in other areas as well. Owned by two of the most powerful businessmen of all time -- Elon Musk and Jeff Bezos, they have been on the competition radar for their interest in the area of autonomous vehicles. Similarly, in the space segment, while the two companies might look quite similar in its attempts to explore space, the ideology and the approach of these companies vary quite significantly. But one thing cannot be denied that they both are developing large, reusable vehicles capable of carrying people and satellites across space. While we have often heard about SpaceX's missions and launches over the past few years, Blue Origin does not come out to be so ambitious in gaining traction.


66 data science teams compete in challenge to help reopen Los Angeles

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California is one of the hardest-hit states when it comes to coronavirus with more than 200,000 total cases. Data scientists seeking ways to help the state reopen the economy participated in a two-week 2020 COVID-19 Computational Challenge (CCC) in mid-June. The challenge was to provide guidance for risk mitigation for Los Angeles County. Additionally, the solution "must incorporate the ethical protection of individual data and respect data privacy norms." The winning teams revealed location-based COVID-19 exposure at different L.A. communities, developed apps for people to calculate their potential for infection, and delivered applicable data-driven recommendations along with L.A.'s reopening stages, officials said.


5 Ways AI is Transforming the Finance Industry - Maruti Techlabs

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As global technology has evolved over the years, we have moved from television to the internet, and today we are smoothly and gradually adapting Artificial Intelligence. The term AI was first coined by John McCarthy in 1956. It involves a lot of the main things ranging from process automation of robotics to the actual process of robotics. It has become highly popular among large enterprises today owing to the amount of data these companies are dealing in. Increase in the demand for understanding the data patterns has led to the growth in demand of AI.


Top Computer Vision Datasets Open-Sourced At CVPR 2020

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A good dataset serves as the backbone of an Artificial Intelligence system. Data assists in various ways as it helps understand how the system is performing, understand meaning insights and others. At the premier annual Computer Vision and Pattern Recognition conference (CVPR 2020), several datasets have been open-sourced in order to help the community achieve higher accuracies and insights. Below here we have listed the top 10 Computer Vision datasets that are open-sourced at the CVPR 2020 conference. About: FaceScape is a large-scale detailed 3D face dataset that includes 18,760 textured 3D face models, which are captured from 938 subjects and each with 20 specific expressions.


The main beneficiaries of artificial intelligence success are IT departments themselves

ZDNet

Artificial intelligence, seen as the cure-all for a plethora of enterprise shortfalls, from chatbots to better understanding customers to automating the flow of supply chains. However, it is delivering the most impressive results to information technology departments themselves, enhancing the performance of systems and making help desks more helpful. At the same time, there's a recognition that AI efforts -- and involvement -- need to expand beyond the walls of IT across all parts of the enterprise. This is one of the takeaways of a recent survey of 154 IT and business professionals at companies with at least one AI-related project in general production, conducted and published by ITPro Today, InformationWeek and Interop. Among those survey respondents with at least one AI application in general production, those with "excellent" and "very good" results comprise 64% of the group -- excellent results account for 23% of respondents and 41% report very good results.


The main beneficiaries of artificial intelligence success are IT departments themselves

#artificialintelligence

Artificial intelligence, seen as the cure-all for a plethora of enterprise shortfalls, from chatbots to better understanding customers to automating the flow of supply chains. However, it is delivering the most impressive results to information technology departments themselves, enhancing the performance of systems and making help desks more helpful. At the same time, there's a recognition that AI efforts -- and involvement -- need to expand beyond the walls of IT across all parts of the enterprise. This is one of the takeaways of a recent survey of 154 IT and business professionals at companies with at least one AI-related project in general production, conducted and published by ITPro, InformationWeek and Interop. Among those survey respondents with at least one AI application in general production, those with "excellent" and "very good" results comprise 64% of the group -- excellent results account for 23% of respondents and 41% report very good results.


Cynthia Breazeal named Media Lab associate director

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Cynthia Breazeal has been promoted to full professor and named associate director of the Media Lab, joining the two other associate directors: Hiroshi Ishii and Andrew Lippman. Both appointments are effective July 1. In her new associate director role, Breazeal will work with lab faculty and researchers to develop new strategic research initiatives. She will also play a key role in exploring new funding mechanisms to support broad Media Lab needs, including multi-faculty research efforts, collaborations with other labs and departments across the MIT campus, and experimental executive education opportunities. "I am excited that Cynthia will be applying her tremendous energy, creativity, and intellect to rally the community in defining new opportunities for funding and research directions," says Pattie Maes, chair of the lab's executive committee.


These Robots Are The Key To Reopening After The Pandemic – IAM Network

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Imagine walking into a room wearing an N95 mask, unsure whether the cleaning crew has thoroughly cleaned the next piece of sensitive equipment that you are planning to use. Suddenly, you notice a robot in the room. This robot is moving around you to disinfect the surfaces and the air all around you. It introduces itself as Violet. You have the urge to shake its hand.


XAOS MOTORS unveiled XCAT LiDAR that can achieve fully self-driving cars - Press Release - Digital Journal

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XAOS MOTORS, headquartered in KOREA, challenges the technological progress of autonomous driving. XAOS MOTORS, by launching XCAT LiDAR Sensor now, give OEMs to make fully self-driving cars earlier than the market expected. MEMS LiDAR Sensor XCAT was developed for self-driving cars. With the ability to scan over 300 meters, XCAT can safely cope with high-speed driving. XCAT is designed for mass production, and OEMs can adopt high-performance 3D LiDARs at a low cost.