Free Japanese-language medical app offers advice about coronavirus

The Japan Times

A Japanese medical advice app provider is making a limited time offer of a free app that allows users to seek advice from doctors about the coronavirus. The free service, in Japanese only, is provided by Agree, a company based in Tsukuba, Ibaraki Prefecture. It also operates a medical advice app called Leber. Users are asked to send information such as whether they have traveled to any places where COVID-19 has been confirmed or whether they have developed a fever. With about 120 doctors registered for the service, users receive advice in about 30 minutes about the urgency of their condition, such as if they are suspected of having pneumonia and if they should seek advice from a public health center.


See the logos AI generates for Apple, Google, and Uber

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That's at least based upon a new Logo-Maker tool just launched in beta by Israel-based freelance marketplace Fiverr. The tool claims to be able to "make a professional logo in just a few clicks," using artificial intelligence, so we put it to the test and used the tool to create some alternate logos for today's biggest brands, including Apple, Google, McDonald's, Uber, and even our own Fast Company logo, just for good measure. The designs are every bit as generic as you might expect. To craft a logo, the user chooses up to three industry keywords from a list to clue the AI into the industry your business is in. There was no "technology" industry option, so let's just say it was a bit difficult to properly describe Apple or Google.


Digital India rolling - Is the Indian workforce ready for transformation?

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The bouquet of AI, pushed by machine learning, computer vision and the Internet of Things (IoT), is speedily evolving as a significant universal purpose technology. Besides technology companies, it is currently being pursued across sectors ranging from manufacturing, agriculture, healthcare, retail, financial services, banking, national defence, and security to public utilities. "We encourage our engineers in India to constantly push the boundaries of AI and machine learning capabilities, with applications from risk, marketing, customer service to autonomous infrastructure...," said Jayanthi Vaidyanathan – Senior Director Human Resources, PayPal India. "We have formulated several Leadership programs to build mid and senior leadership; programs that focus on soft skills of the individuals be it in influencing, brand building, communication, to name a few and also a structured job rotation program to continuously create opportunities for the top talent to diversify and equip themselves with newer skills," she said. The Ministry of Commerce and Industry constituted a task force in 2018 to study'How AI is reshaping jobs in India'.


Why use Python for AI and Machine Learning?

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Python has been appreciated for its relentless ascent to distinction over recent years. Supported for applications going from web advancement to scripting and procedure mechanization, Python is rapidly turning into the top decision among engineers for AI, ML, and profound learning ventures. Computer-based intelligence or artificial intelligence has created a universe of chances for application engineers. Computer-based information permits Spotify to prescribe artisans and melodies to clients, or Netflix to comprehend what shows you'll need to see straight away. It is additionally utilized widely by organizations in client assistance to drive self-administration and improve work processes and worker efficiency.


Mozilla DeepSpeech Gets Smaller

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The latest release, version v0.6, comes with support for TensorFlow Lite, the version of TensorFlow that's optimized for mobile and embedded devices. This has reduced the DeepSpeech package size from 98 MB to 3.7 MB, and cut the English model size from 188 MB to 47 MB. The developers achieved the cut using post-training quantization, a technique to compress model weights after training is done.


This Technique Uses AI to Fool Other AIs

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Artificial intelligence has made big strides recently in understanding language, but it can still suffer from an alarming, and potentially dangerous, kind of algorithmic myopia. Research shows how AI programs that parse and analyze text can be confused and deceived by carefully crafted phrases. A sentence that seems straightforward to you or me may have a strange ability to deceive an AI algorithm. That's a problem as text-mining AI programs increasingly are used to judge job applicants, assess medical claims, or process legal documents. Strategic changes to a handful of words could let fake news evade an AI detector; thwart AI algorithms that hunt for signs of insider trading; or trigger higher payouts from health insurance claims.


Tech News: How Artificial Intelligence Can Solve America's Traffic Problems

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Sitting at a clogged intersection, have you ever questioned how long the traffic systems have been around for? Sure, you probably have. The "modern" three-signal traffic light system was created in 1920 by a Detroit police officer and it has pretty much remained the same since--bigger, of course, but still basically the same. Digesting that information probably makes you wonder. Especially since there is a good chance you are sitting in a car that can keep your speed constant, brake for you, change lanes for you, sense your blind spots, provide directions, let you know something is wrong with the engine and, someday soon, can even periodically take over some of the driving for you. We are constantly being told how close we are to the largest transformation in the auto industry in history, yet the traffic management industry is still stuck in 1920.


The Case Against AI, UX, And Coding Bootcamps

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By the year 2028, the technology industry will predictably experience a 21% rise in demand for software engineering talent, compared to a 5% growth rate for all other occupations. Traditional universities, scrambling to keep pace, have readjusted their curricula and spun up new concentrations, degrees, and certificate programs to close the skills gap. However, the efforts of conventional education players won't be enough to address the widening hole of talent. Opportunistically, around 2011, the industry responded. Instead of attending a 4-year university or 2-year graduate program to acquire relevant technical skills, a student could sign-up for an intensive bootcamp that promised a compressed path to learning (3-6 months), guaranteed job placement, and accelerated career ambitions. In many ways, this model paid dividends for tech industry hopefuls. Scores of bootcamps boast placements rates in the high 90% and possess a feverish dedication to student-focused growth and development. However, not all bootcamps are alike. Copycats, scam artists, and unethical actors have created bootcamps selling nothing more than debt, headache, and self-doubt.


Elon Musk calls for regulations on artificial intelligence

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Elon Musk is calling for regulation on organizations developing advanced artificial intelligence, including his companies. The Tesla and SpaceX head tweeting earlier this week, "All orgs developing advanced AI should be regulated, including Tesla." Musk was, according to TechCrunch, "responding to a new MIT Technology Review profile of OpenAI, an organization founded in 2015 by Musk, along with Sam Altman, Ilya Sutskever, Greg Brockman, Wojciech Zaremba and John Schulman. Since 2015, Musk has distanced himself from OpenAI and openly criticized it. In a twitter conversation about the group last year, Musk tweeted, "Unfortunately, I must agree that these are reasonable concerns" when user @Smerity asked, "What is OpenAI?


Oliver Letwin, the unlikely merchant of technological doom

The Guardian

Oliver Letwin's strange and somewhat alarming new book begins at midnight on Thursday 31 December 2037. In Swindon – stay with me! – a man called Aameen Patel is working the graveyard shift at Highways England's traffic HQ when his computer screen goes blank, and the room is plunged into darkness. He tries to report these things to his superiors, but can get no signal on his mobile. Looking at the motorway from the viewing window by his desk, he observes, not an orderly stream of traffic, but a dramatic pile-up of crashed cars and lorries – at which point he realises something is seriously amiss. In the Britain of 2037, everything, or almost everything, is controlled by 7G wireless technology, from the national grid to the traffic (not only are cars driverless; a vehicle cannot even join a motorway without logging into an "on-route guidance system"). There is, then, only one possible explanation: the entire 7G network must have gone down. It sounds like I'm describing a novel – and it's true that Aameen Patel will soon be joined by another fictional creation in the form of Bill Donoghue, who works at the Bank of England, and whose job it will be to tell the prime minister that the country is about to pay a heavy price for its cashless economy, given that even essential purchases will not be possible until the network is back up (Bill's mother-in-law is also one of thousands of vulnerable people whose carers will soon be unable to get to them, the batteries in their electric cars having gone flat).