Google launches program to assist Black and Latinx business owners

Google is has a new plan to help Houston business owners.

The Bayou City is one of the many cities included in tech company’s “Digital Coaches” program” that aims to provide tech education and workshops in underserved areas.

The program, called Digital Coaches, provides free digital skills training and coaching to help Black and Latinx small businesses reach new customers and grow their online presence.

In an announcement made on Instagram, it was revealed that businesswoman Joy Hutton will be serving as Houston’s Digital Coach.

The caption shared that Hutton is the founder of the management consulting firm, Joy of Consulting, which assists companies with their organizational structure through training and process optimization. Hutton also is the founder of beauty on-demand platform on the go GLAM.

The Digital Coaches program will begin on Dec. 4 with its first virtual workshop. The workshop topics include connecting with customers and managing your

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NASA’s “Break the Ice” challenge seeks ideas to assist with future moon missions

Harsh lunar conditions present numerous challenges for future astronauts. NASA is seeking innovative solutions to help harvest the moon’s resources.


image: NASA

By 2024, NASA’s Artemis program is scheduled to land a man and a woman on the lunar surface. To assist with long-term sustained presence on the moon in the years ahead, NASA will need to tap resources in-situ rather than rely on supplies from Earth. It turns out, lunar regolith is brimming with life-supporting potential, but harvesting these materials in the harsh lunar environment presents numerous engineering challenges.

On Wednesday, NASA announced that it was seeking innovative strategies to help the agency excavate lunar regolith and subsequently deliver this material to a theoretical regolith processing plant situated on the moon’s south pole. NASA’s Break the Ice Lunar Challenge is currently open for registration to help the space agency develop capabilities to eventually support a sustained human lunar presence

Read More Secures $11M Series A Funding to Assist Healthcare Organizations Improve Clinical and Financial Outcomes

AUSTIN, Texas–(BUSINESS WIRE)–, Healthcare’s Data Science Platform, today announced the close of an $11 million Series A. The investment round was co-led by Greycroft and .406 Ventures with participation from Silicon Valley Bank and Meridian Street Capital. ClosedLoop makes it easy and affordable for healthcare organizations to use data science to improve outcomes and reduce costs by combining an intuitive end-to-end machine learning platform for data scientists with a catalog of healthcare specific predictive models and features.

The company’s technology is already recognized as a category leader by clients and the KLAS Healthcare AI 2020 report, which highlighted ClosedLoop as a Top Performer in healthcare-focused AI with 100% of customers saying they would buy the platform again. ClosedLoop is also a top 7 finalist in the Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence (AI) Health Outcomes Challenge.

ClosedLoop’s platform provides leading-edge AI tools and automation capabilities

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Physics can assist with key challenges in artificial intelligence — ScienceDaily

Current research and applications in the field of artificial intelligence (AI) include several key challenges. These include: (a) A priori estimation of the required dataset size to achieve a desired test accuracy. For example, how many handwritten digits does a machine have to learn before being able to predict a new one with a success rate of 99%? Similarly, how many specific types of circumstances does an autonomous vehicle have to learn before its reaction will not lead to an accident? (b) The achievement of reliable decision-making under a limited number of examples, where each example can be trained only once, i.e., observed only for a short period. This type of realization of fast on-line decision making is representative of many aspects of human activity, robotic control and network optimization.

In an article published today in the journal Scientific Reports, researchers show how these two challenges are solved by

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