AI and control of Covid-19 coronavirus

Artificial intelligence (AI) is being used as a tool to support the fight against the viral pandemic that has affected the entire world since the beginning of 2020. The press and the scientific community are echoing the high hopes that data science and AI can be used to confront the coronavirus and “fill in the blanks” still left by science.

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Artificial Intelligence (AI) market size, share & COVID-19 impact analysis

Artificial Intelligence (AI) Market Size, Share & COVID-19 Impact Analysis, By Component (Hardware, Software, and Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, and Others), By Deployment (Cloud, On-premises), By Industry (Healthcare, Retail, IT & Telecom, BFSI, Automotive, Advertising & Media, Manufacturing, and Others) and Regional Forecast, 2020-2027

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How Artificial Intelligence and Machine Learning can help in Agriculture

Artificial Intelligence is growing at a rapid pace. With advances in computational capabilities and increased cloud penetration, wider parts of the world economies have started to reap the benefits of Artificial Intelligence. (Machine Learning). Agriculture is a field that has started to leverage AI for its benefits. Be it containing weeds, calculating the best time to harvest crops, Monitoring the health of soil and crops, or predicting the yield in advance.

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FB Prophet is not always the most suitable time series forecasting model

I have written a series of posts about a univariate dataset of shampoo sales dating back from 1901 to 1903. This series of posts would not be complete, however, without a post on Facebook Prophet, an open source time series forecasting model. The finale of this series of posts, therefore, attempts to shed light on the forecasting of the shampoo dataset using Facebook Prophet, which is based on based on decomposable (trend+seasonality+holidays) models.

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How to help the Helping Hands — AI for Case Management

Bridging the gap between technical models and how they relate with social caseworkers. What would the world look like for a social worker if AI helped them every step of the way? How many more people will find their help? How would the speed of processing the cases increase? These questions I have tried to answer while rummaging through the tress of my grey matter.

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Allen Institute launches GENIE, a leaderboard for human-in-the-loop language model benchmarking

There’s been an explosion in recent years of natural language processing (NLP) datasets aimed at testing various AI capabilities. Many of these datasets have accompanying leaderboards, which provide a means of ranking and comparing models. But the adoption of leaderboards has thus far been limited to setups with automatic evaluation, like classification and knowledge retrieval. Open-ended tasks requiring natural language generation such as language translation, where there are often many correct solutions, lack techniques that can reliably automatically evaluate a model’s quality.

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Swapp raises $7 million to automate construction planning with AI

Swapp, a company that leverages AI for construction planning, today announced that it raised $7 million in venture capital. The company plans to put the funds toward “continued market expansion” and growing its platform’s AI capabilities.
The construction industry and its broader ecosystem erects buildings, infrastructure, and industrial structures that form the foundation of whole economies.

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Microsoft researchers tap AI for anonymous data sharing for health care providers

The use of images to build diagnostic models of diseases has become an active research topic in the AI community. But capturing the patterns in a condition and an image requires exposing a model to a rich variety of medical cases. It’s well-known that images from a source can be biased by demographics, equipment, and means of acquisition, which means training a model on such images would cause it to perform poorly for other populations.

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Google targets AI ethics lead Margaret Mitchell after firing Timnit Gebru

Google has revoked Ethical AI team leader Margaret “Meg” Mitchell’s employee privileges and is currently investigating her activity, according to a statement provided by a company spokesperson. Should Google fire Mitchell, it will mean the company has effectively chosen to behead its own AI ethics team in under two months.

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AlphaICs raises $8 million for AI-at-the-edge processors

AlphaICs has raised $8 million in funding for artificial intelligence processors for edge computing. The round was led by Emerald Technology Ventures and Endiya Partners. The Milpitas, California-based company was started in 2016 by Vinod Dham, a former Intel executive known as the “father of the Pentium.”

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Can AI and proteins stop climate change?

In 2020, a virus showed us how fragile our world is. Before that, our awareness of a much greater threat has grown: climate change. To secure our future in the long term, we need solutions that protect our planet and change it for the better. I am convinced that artificial intelligence must and will have a decisive influence in this. So far, the big solutions are missing — new proteins are groundbreaking…

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AI is transforming the Logistics Landscape: Here’s a glimpse at how, why and by when

As the COVID-19 pandemic continues to put pressure on supply chains worldwide, the prospect of leveraging AI logistics tech has become more attractive than ever. Data-driven solutions are giving companies the power to increase profitability, resiliency and meet the new demands of commerce in times of unpredictability. AI and machine learning (ML) technologies are now being widely applied across distribution networks. In fact, 61% of executives report decreased costs and 53% report increased revenues as a direct benefit of introducing AI into their supply chains.

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Google launches suite of AI-powered solutions for retailers

Fashion and AI

Google today announced the launch of Product Discovery Solutions for Retail, a suite of services deigned to enhance retailers’ ecommerce capabilities and help them deliver personalized customer experiences. Product Discovery Solutions for Retail brings together AI algorithms and a search service, Cloud Search for Retail, that leverages Google Search technology to power retailers’ product-finding tools.

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Trovata.io raises $20 million to aggregate enterprise bank accounts with AI

Banking technology startup Trovata.io today announced it has raised $20 million in a series A round led by Wells Fargo Strategic Capital. The investment will be used to deliver new services and accelerate multi-bank APIs globally, the company says, and to add more bank distribution partners.

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K Health raises $132 million to launch AI-powered telemedical pediatric service

New York City-based K Health today closed a $132 million series E funding round led by GGV Capital and Valor Equity Partners, bringing the company’s total raised to date to over $271 million. In conjunction with the round’s closure, K Health launched K for Parents, a program offering parents access to a pediatrician to remotely diagnose and treat children ages 3 to 17.

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How Industries will move past the Pandemic and thrive in 2021 using AI

The response from COVID-19’s gradual recovery will be top of mind for nearly every firm and industry in 2021. Some businesses may become stagnant or never recover. Others will view the shakeup as an unprecedented opportunity to understand and improve their data and analytical assets, operationalize and update their model production process, and reassure customers that their AI can be trusted.

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Using Linear Regression to predict the Dow Jones Industrial Average Index

The stock market is filled with individuals who know the price of everything, but the value of nothing.” — Fischer“A prediction about the direction of the stock market tells you nothing about where stocks are headed, but a whole lot about the person doing the predicting.”

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How AI transforms Copywriting

What if marketers could leverage artificial intelligence for copywriting to deliver content that resonates with specific audiences? What if, instead of relying on gut instinct alone, creative teams could be mathematically certain about the words and phrases to use in marketing campaigns? It is now possible to apply science to the art of copywriting, and many brands have already started bringing together man and machine to produce compelling copy and achieve better results.

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