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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.
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.
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.
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.
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.
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.
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.
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.
It is utopian to rule out any form of anthropomorphism when addressing a conversational assistant because of the use of language as a vector of exchange. Designers, therefore, must limit these shortcomings with the implementation of these design rules, thus reducing the risks of deception and dependency, and giving confidence in these systems.
With artificial intelligence making its way into daily life, healthcare, including ophthalmology, is no exception. Ophthalmology, with its heavy reliance on imaging, is an innovator in the field of AI in medicine. Although the opportunities for patients and health care professionals are great, hurdles to fully integrating AI remain, including economic, ethical, and data-privacy issues. "AI is impacting health care at every level, from the provider to the payer to pharma," according to Dan Riskin, MD, CEO and founder of Verantos, a health care data company in Palo Alto, California, that uses AI to sort through real world evidence. The question remains, just how to patients feel about the use of AI in the diagnosis and treatment of their illnesses? In a patient survey conducted in December 2019, 66% of respondents said AI plays a large role in their diagnosis and treatment and thought it was important.