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Antimicrobial resistance with Artificial Intelligence

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Minh-Hoang Tran,1 Ngoc Quy Nguyen,2 Hong Tham Pham1,3 1Department of Pharmacy, Nhan Dan Gia Dinh Hospital, Ho Chi Minh City, Vietnam; 2Institute of Environmental Technology and Sustainable Development, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam; 3Department of Pharmacy, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam Correspondence: Hong Tham Pham, Department of Pharmacy, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam, Tel 84 919 559 085, Email [email protected] Abstract: Recent years have witnessed the rise of artificial intelligence (AI) in antimicrobial resistance (AMR) management, implying a positive signal in the fight against antibiotic-resistant microbes. The impact of AI starts with data collection and preparation for deploying AI-driven systems, which can lay the foundation for some effective infection control strategies. Primary applications of AI include identifying potential antimicrobial molecules, rapidly testing antimicrobial susceptibility, and optimizing antibiotic combinations. Aside from their outstanding effectiveness, these applications also express high potential in narrowing the burden gap of AMR among different settings around the world. Despite these benefits, the interpretability of AI-based systems or models remains vague.


AI reveals unsuspected math underlying search for exoplanets

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Artificial intelligence (AI) algorithms trained on real astronomical observations now outperform astronomers in sifting through massive amounts of data to find new exploding stars, identify new types of galaxies and detect the mergers of massive stars, accelerating the rate of new discovery in the world's oldest science. But AI, also called machine learning, can reveal something deeper, University of California, Berkeley, astronomers found: Unsuspected connections hidden in the complex mathematics arising from general relativity--in particular, how that theory is applied to finding new planets around other stars. In a paper appearing this week in the journal Nature Astronomy, the researchers describe how an AI algorithm developed to more quickly detect exoplanets when such planetary systems pass in front of a background star and briefly brighten it--a process called gravitational microlensing--revealed that the decades-old theories now used to explain these observations are woefully incomplete. In 1936, Albert Einstein himself used his new theory of general relativity to show how the light from a distant star can be bent by the gravity of a foreground star, not only brightening it as seen from Earth, but often splitting it into several points of light or distorting it into a ring, now called an Einstein ring. This is similar to the way a hand lens can focus and intensify light from the sun. But when the foreground object is a star with a planet, the brightening over time--the light curve--is more complicated.


Using Data Science to Catch Criminals

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The power of data science is not limited to solving technical or business issues. Its usage is not limited to data analytics to create new technologies, target ads to consumers, and maximize profits and sales in business. The concept of open science has led organizations to use data to handle social problems. It can offer a statistical and data-driven solution to hidden human behavior and cultural patterns. We will be using data from the San Francisco crime department to understand the relation between civilian-reported incidents of crime and police-reported incidents of crime. To store and readily access a large amount of data, we will be using GridDB as our database platform.


How AI and machine learning are reshaping the way transit systems move traffic patterns – REJournals

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Of the many ways artificial intelligence and machine learning are poised to improve modern life, the promise of impacting mass transit is significant. The world is much different compared with the early days of the pandemic, and people around the world are again leveraging mobility and transit systems for work, leisure and more. Across the U.S., traditional mass transit systems including buses, subways and personal vehicles have returned to struggling through gridlock, rider levels and congestion. However, advanced AI and machine learning solutions built on cloud-based platforms are being deployed to reduce these frustrations. Transportation is one of the most important areas in which modern AI provides a significant advantage over conventional algorithms used in traditional transit system technology.


Amazon flexes retail muscle with physical clothing store – TechCrunch

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Signaling its ambitions to make a dent in the apparel market, Amazon today opened its first physical clothing store, Amazon Style, in the Greater Los Angeles Area. Offering a twist on the traditional experience, visitors to the Glendale, California shop at The Americana At Brand use an app to scan codes on displayed items from Steve Madden, Levi's, Lacoste and other brands to send them directly to a fitting room or pickup counter. As TechCrunch previously reported, Amazon Style features hundreds of brands chosen by "fashion creators" and "feedback provided by millions of customers shopping on Amazon.com." Scanning the QR code next to an item pops up a selector for sizes and colors, as well as details such as customer ratings and adds the item to a list for later perusing. Amazon Style doesn't use the cashierless "Just Walk Out" tech found in Amazon Fresh and Whole Foods locations, instead opting for Amazon's controversial Amazon One palm recognition service.


Google Has a Plan to Stop Its New AI From Being Dirty and Rude

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Silicon Valley CEOs usually focus on the positives when announcing their company's next big thing. In 2007, Apple's Steve Jobs lauded the first iPhone's "revolutionary user interface" and "breakthrough software." Google CEO Sundar Pichai took a different tack at his company's annual conference Wednesday when he announced a beta test of Google's "most advanced conversational AI yet." Pichai said the chatbot, known as LaMDA 2, can converse on any topic and had performed well in tests with Google employees. He announced a forthcoming app called AI Test Kitchen that will make the bot available for outsiders to try.


#ICRA2022, the great robotics scicommer – Day 1 video digest

Robohub

The IEEE International Conference on Automation and Robotics, ICRA, is the itinerant flagship conference of the IEEE Robotics and Automation Society, RAS. In its 39th edition, ICRA is being held in the Pennsylvania Convention Center, in Philadelphia, PA, USA, between May 23 and 27, 2022. ICRA started just after the birth of the IEEE Robotics and Automation Society (formerly IEEE Robotics and Automation Council) in 1983. The first edition was held in Atlanta, GA, USA, in 1984. During its first years, the conference showed the growing interest of researchers and industry leaders in the emergent field of robotics.


Google Is Close To Achieving True Artificial Intelligence?

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DeepMind, a Google-owned British company, might be on the verge of creating human-level artificial intelligence. The revelation was made by the company's lead researcher Dr. Nando de Freitas in response to The Next Web columnist Tristan Greene who claimed humans will never achieve AGI. For anyone who doesn't know, AGI refers to a machine or program that can understand or learn any intellectual task that humans can. It can also do so without training. Addressing the somewhat pessimistic op-ed, and the decades-long quest to develop artificial general intelligence, Dr de Freitas said the game is over.


Dan O'Mara: Turning Robotics Education on its Head Sense Think Act Podcast #19

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In this episode, Audrow Nash speaks to Dan O'Mara, who is the founder and COO of Circuit Launch and Mechlabs. Circuit Launch is a space for hardware entrepreneurs to work in Oakland, California, and Mechlabs is a project-based course to learn robotics. This interview is mostly about Mechlabs, but talks about the origins of Circuit Launch, including how it is not a maker or coworking space and its business model. For Mechlabs, we talk about several of its aspects that make it different than a university education in robotics, including how there are mentors not instructors, how projects are scoped, and how people are invited to work on what is most interesting to them. We also talk about the future of Mechlabs and how it fits with current universities.


Autonomous trucking company Plus drives faster transition to semi-autonomous trucks

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This article is part of a VB Lab Insight series paid for by Plus. Breaking away from the competition, Plus, a Silicon Valley-based provider of autonomous trucking technology, is taking an innovative driver-in approach to commercialization that aligns with the critical challenges facing the trucking industry today. According to newly-released estimates of traffic fatalities in 2021, crashes involving at least one large truck increased 13% compared to the previous year. With a nationwide truck driver shortage estimated at 80,000 last year and growing, PlusDrive, Plus's market-ready supervised autonomous driving solution, helps long-haul operators reduce stress while improving safety for all road users. In 2021 Plus achieved a critical industry milestone, becoming the first self-driving trucking technology company to deliver a commercial product to the hands of customers.