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Extending Human Lifespans: Using Artificial Intelligence To Find Anti-Aging Chemical Compounds

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The University of Surrey has built an artificial intelligence (AI) model that identifies chemical compounds that promote healthy aging -- paving the way towards pharmaceutical innovations that extend a person's lifespan. In a paper published by Nature Communication's Scientific Reports, a team of chemists from Surrey built a machine learning model based on the information from the DrugAge database to predict whether a compound can extend the life of Caenorhabditis elegans -- a translucent worm that shares a similar metabolism to humans. The worm's shorter lifespan gave the researchers the opportunity to see the impact of the chemical compounds. "Ageing is increasingly being recognized as a set of diseases in modern medicine, and we can apply the tools of the digital world, such as AI, to help slow down or protect against aging and age-related diseases. Our study demonstrates the revolutionary ability of AI to aid the identification of compounds with anti-aging properties."



What value should data-scientist be providing?

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This is a topic that I had several discussions on with colleagues of mine as well as friends. With co-pilot, and directions of autoML, 1-liner libraries to run algorithms, what should be the value of data-scientist? TLDR: Personally, I feel that the value of a data-scientist should not be the ability to "write" just the latest machine learning API, but more towards critical thinking skills, problem solving abilities (generic), problem formulation as well as communication. I will try to touch on them more and relate them to personal experiences.


I SEE U, Episode 10: Black A I = Artificial Inclusion

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A young computer scientist who grew up in Mississippi is focusing her efforts on fairness and identifying biases in technology. Though she's working in Atlanta as an artificial intelligence researcher for Amazon, she's reinvesting much of her earnings towards the development of a multi-million dollar innovation center that's set to transform her native downtown Jackson. Dr. Nashlie Sephus is also CEO of The Bean Path -- a non-profit that works to bridge the "tech gap" in communities where access to technical expertise, computer coding and other resources are limited. She speaks candidly with host Eddie Robinson about her experiences in closing commercial real estate deals in the Deep South and how she's worked in a field of study where there's not many Black women with PhDs. Fill out the form below to subscribe our new daily editorial newsletter from the HPM Newsroom.


Getting Industrial About The Hybrid Computing And AI Revolution

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For oil and gas companies looking at drilling wells in a new field, the issue becomes one of return vs. cost. The goal is simple enough: install the fewest number of wells that will draw them the most oil or gas from the underground reservoirs for the longest amount of time. The more wells installed, the higher the cost and the larger the impact on the environment. However, finding the right well placements quickly becomes a highly complex math problem. Too few wells sited in the wrong places leaves a lot of resources in the ground.


Using satellites and AI, space-based technology is shaping the future of firefighting

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Using satellites, drones and artificial intelligence, emerging technology is changing the way firefighting agencies and governments battle the ever-increasing threat of wildfires as hundreds of thousands of acres burn across the western United States. New programs are being developed by startups and research institutions to predict fire behavior, monitor drought and even detect fires when they first start. As climate change continues to increase the intensity and frequency of wildfires, these breakthroughs offer at least one tool in the growing arsenal of prevention and suppression strategies. "This is not to replace firefighting on the ground," said Ilkay Altintas, a computer scientist with the University of California, San Diego, who developed a fire map for the region. "The more science and data we can give firefighters and the public, the quicker we'll have solutions to combat and mitigate wildfires."


Insurtech Ethos Valued at $2.7 Billion After SoftBank Investment

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"We're excited about it," Peter Colis, Ethos CEO and co-founder, said of the SoftBank investment. "It's more capital to fuel our mission of protecting families." Ethos plans to use the funds to build out its engineering and products team, as well as for research and development. Employees currently number about 200 people and are expected to jump to 350 to 400 by the end of the year, he said. SoftBank's investment is coming from its $30 billion Vision Fund 2. The pool typically focuses on companies that use artificial intelligence like Carro, the Singapore online car marketplace; DiDi, the Uber of China; and eToro, the Israeli online stock brokerage.


RTA uses artificial intelligence, high-tech to improve bus services

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His Excellency Mattar Mohammed Al Tayer, Director-General, Chairman of the Board of Executive Directors of Roads and Transport Authority (RTA), revealed that RTA's precautionary measures and initiatives applied to the scheduling and the operation of public buses, marine transit means and taxis had accelerated the recovery from the Covid-19 pandemic. He stated that such measures contributed to restoring the growth of public transport ridership to 70% of the pre-Covid-19 levels. They also contributed to reducing the number of kilometres travelled by 18%, improving bus on-time arrival by 6%, and cutting carbon emissions by 34 metric tons. "In cooperation with Alibaba Cloud, RTA has recently started trialling the'City Brain' system to manage traffic in urban areas using artificial intelligence and advanced algorithms. The system analysis a massive number of big data received from nol cards, operating buses and taxis as well as the Enterprise Command and Control Centre. Then it converts the data into useful information that could be used in sending instant notifications and improving bus schedules and routes. The system is expected to improve the bus ridership by 17%, average waiting time by 10%, and the journey time and the average bus usage by 5%," stated Al Tayer.


Deep Learning

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This article would try to address the basic aspects of deep learning. Deep learning attempts to copy the working mechanism of the human brain by combining data inputs, weights, and biases. The basic mechanism of deep learning is to cluster data and make predictions with a high degree of accuracy. Deep learning involves layers that form a neural network. The layers help in improving accuracy and better prediction.


RPA migrations hastened through API bot interactions

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All the sessions from Transform 2021 are available on-demand now. Blueprint Software Systems has released a new solution for robotic process automation (RPA) migrations to the Microsoft Power Automate platform. This could tilt the balance in the RPA market toward Microsoft's lower-cost offerings with native integrations into popular productivity apps. Leading RPA companies, including UiPath, Automation Anywhere, and Blue Prism, have an extended lead time over Microsoft. These companies have developed a substantial base of loyal enterprise customers.