If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Despite the global impact of COVID-19, 47% of artificial intelligence (AI) investments were unchanged since the start of the pandemic and 30% of organizations actually planned to increase such investments, according to a Gartner poll. Only 16% had temporarily suspended AI investments, and just 7% had decreased them. During the pandemic, for example, AI came to the rescue. Chatbots helped answer the flood of pandemic-related questions, computer vision helped maintain social distancing and machine learning (ML) models were indispensable for modeling the effects of reopening economies. "If AI as a general concept was positioned on this year's Gartner Hype Cycle, it would be rolling off the Peak of Inflated Expectations. By that we mean that AI is starting to deliver on its potential and its benefits for businesses are becoming a reality," says Svetlana Sicular, VP Analyst, Gartner.
When Shamir Rahim, founder and CEO of VersaFleet, transformed his bio-medical startup into an AI-powered transportation management system, he never imagined being at the epicenter (in a good way) of a supply chain revolution during a worldwide pandemic. As anyone desperately searching for toilet paper discovered earlier this year, the last mile is the crucial link in every supply chain. VersaFleet's SaaS-based cloud platform relies on AI to meet one of the toughest supply chain challenges: last mile delivery. "We wanted to provide our customers with a command center view of last mile product delivery with cost and time savings," said Shamir Rahim, founder and CEO of VersaFleet. "As our customers slowly open up again, VersaFleet is providing greater agility so they can quickly adjust logistics for maximum efficiency, whether people are out sick or returning to work, quarantines are lifted or imposed again, and operational hours shift at any time."
In a restaurant landscape where lean profit margins are getting even slimmer due to the necessary COVID-19 safety measures of distancing, staying afloat is an increasingly difficult challenge. Small wonder, then, that some operators are using whatever means they can to stand out from their competition. Robot waiters, although not a new phenomenon, are making headlines around the world again, but this time with a socially distanced twist. At Claypot Rice, a Chinese restaurant in Calgary, robot greeters and servers chat with guests, take orders and run food from the kitchen. These are typically three distinct roles performed by humans, a fact not lost on owner Alex Guo.
Here at Visory we believe that the millions of cameras sitting idly around us, providing at most some emergency'after the fact' analysis or simple statistics capabilities at best, could be harnessed in a secure and safe way to create value from the images the cameras are seeing. There is so much unused yet valuable data out there that is simply not being harnessed to create value. What we are talking about are things like whether a car crash is going to happen or a crime might be committed for example. Visory is here to turn cameras into predictive sensors and turn these'dumb' devices into smart and helpful ones. During the beginning of 2020 Visory was selected by the Dubai Future Foundation as one of the companies to participate in a governmental project to provide smart monitoring systems for the Dubai Road and Transport Authority.
There has been a loneliness pandemic in the last 20 years, marked by growing rates of opioid use and suicides, increased health care costs, lost productivity, and rising mortality. According to the experts, the ongoing COVID-19 pandemic, with its associated lockdowns and social distancing, has only made things worse. Precisely evaluating the depth and breadth of societal loneliness is a tedious task, restricted by available tools, like self-reports. Now in a new proof-of-concept article, recently published online in the American Journal of Geriatric Psychiatry on September 24th, 2020, a team of researcher headed by scientists from the University of California San Diego School of Medicine, has utilized artificial intelligence technologies to study the natural language patterns (NLP) to determine the levels of loneliness in older adults. Most studies use either a direct question of'how often do you feel lonely,' which can lead to biased responses due to stigma associated with loneliness or the UCLA Loneliness Scale which does not explicitly use the word'lonely.
These and other insights are from LinkedIn's Top Startups 2020: The 50 U.S. companies on the rise published today. This is the 4th annual LinkedIn list of the hottest startups to work for. The list is determined by the billions of actions taken by LinkedIn's 706 million members. The annual list is a reflection of how business and work is evolving through the pandemic, what industries are emerging and growing and where people want to work now, reflecting the current state of the economy and the world. Even in the face of Covid-19, the startups on this year's list are all still innovating and experiencing growth and the majority of the companies on the list are currently hiring, with 3,000 jobs now open on LinkedIn. To be eligible for the list, a company must be independent and privately held, have at least 50 employees, be seven years old or younger, be headquartered in the country on the list which they appear and have a minimum of 15% employee growth over the time period. The top 50 U.S. startups include the following: Full-time headcount: 4,000 Headquarters: New York City Year founded: 2016 What you should know: While the U.S. economy quickly sank into a recession at the start of the pandemic, one of its engines has been roaring: housing.
BEIJING--(BUSINESS WIRE)--Artificial Intelligence Defense Platform, a technology start-up creating AI technology for a safer, more comfortable future, and its Founder Andy Khawaja have created a new department within AIDP that is dedicated to pandemic research to see how AI technology can be most useful in future pandemics. In lieu of the Coronavirus Pandemic, or COVID-19, Artificial Intelligence Defense Platform has already found many new ways AI technology can be used for identifying and forecasting pandemic outbreaks. AI technology can track the outbreaks and predict outcomes based on actions. Andy Khawaja and AIDP have found better methods for tracking carriers based upon tracing data via smartphones, also known as contact tracing. Although there is a natural resistance to artificial intelligence technology in the healthcare industry, AIDP's studies show how useful the technology can be in the future to minimize contact when necessary.
By Sam Nussey2 Min ReadTOKYO (Reuters) – SoftBank's robotics arm said on Monday it will bring a food service robot developed by California-based Bear Robotics to Japan as restaurants grapple with labour shortages and seek to ensure social distancing during the COVID-19 pandemic.Slideshow ( 3 images)The robot named Servi, which has layers of trays and is equipped with 3D cameras and Lidar sensors for navigation, will launch in January, SoftBank Group Corp said.Servi will cost 99,800 yen ($950) per month excluding tax on a three year plan.The launch leverages SoftBank's long experience in bringing overseas technology to Japan but reflects the shift away from CEO Masayoshi Son's earlier focus on humanoid robots.Servi has been tested by Japanese restaurant operators, including Seven & i Holdings at its Denny's chain, as the sector grapples with an aging workforce and deepening labour shortages.SoftBank's humanoid Pepper robot became the face of the company following its 2014 unveiling but failed to find a global customer base.The firm in 2018 announced cleaning robot Whiz, which employs technology from group portfolio company Brain Corp and has sold more than 10,000 units worldwide.SoftBank is touting the use of Whiz as a coronavirus countermeasure, …
Artificial intelligence (AI) can detect loneliness with 94 per cent accuracy from a person's speech, a new scientific paper reports. Researchers in the US used several AI tools, including IBM Watson, to analyse transcripts of older adults interviewed about feelings of loneliness. By analysing words, phrases, and gaps of silence during the interviews, the AI assessed loneliness symptoms nearly as accurately as loneliness questionnaires completed by the participants themselves, which can be biased. It revealed that lonely individuals tend to have longer responses to direct questions about loneliness, and express more sadness in their answers. 'Most studies use either a direct question of "how often do you feel lonely", which can lead to biased responses due to stigma associated with loneliness,' said senior author Ellen Lee at UC San Diego (UCSD) School of Medicine.
Pedro Alves is the founder and CEO of Ople.AI, a software startup that provides an automated machine learning platform to empower business users with predictive analytics. The machine learning and AI-powered tools being deployed in response to COVID-19 arguably improve certain human activities and provide essential insights needed to make certain personal or professional decisions; however, they also highlight a few pervasive challenges faced by both machines and the humans that create them. Nevertheless, the progress seen in AI/machine learning leading up to and during the COVID-19 pandemic cannot be ignored. This global economic and public health crisis brings with it a unique opportunity for updates and innovation in modeling, so long as certain underlying principles are followed. Here are four industry truths (note: this is not an exhaustive list) my colleagues and I have found that matter in any design climate, but especially during a global pandemic climate.