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A coronavirus mystery: How many people in L.A. actually have COVID-19?

Los Angeles Times

One of the most pressing questions public health officials are trying to answer about the coronavirus is how many people actually have been infected by it. Have a relatively significant portion of Californians been infected with the virus but survived without much problem? Or has the virus touched only a tiny sliver of California, suggesting the chances of serious illness are greater if you're infected? In April, controversial studies out of Stanford University and USC suggested the coronavirus has circulated much more widely than previously thought in Silicon Valley and Los Angeles County. Almost immediately, there have been questions from other epidemiologists around the country about whether those estimates were too high.


This startup is using AI to give workers a "productivity score"

MIT Technology Review

Now, one firm wants to take things even further. It is developing machine-learning software to measure how quickly employees complete different tasks and suggest ways to speed them up. The tool also gives each person a productivity score, which managers can use to identify those employees who are most worth retaining--and those who are not. How you feel about this will depend on how you view the covenant between employer and employee. Is it okay to be spied on by people because they pay you?


Facebook tool to transfer images to Google Photos now available worldwide

The Independent - Tech

Facebook's new feature to transfer photos from your profile to a Google Photos backup is now available globally, after previously only being accessible in the US and Canada. The tool was later rolled out to parts of Africa, Asia Pacific, and Latin America in February 2020, European countries in March 2020, but can now be accessed by all users across the world. The tool lets you make copies of all the photos and videos on your account, and move them to another platform more easily than having to mass download, and then reupload, the content. Going to "Your Facebook Information" in your Facebook Settings Selecting "Transfer a Copy of Your Photos or Videos and entering your Facebook password Choosing Google Photos โ€“ with the company stating that more options will be available over time Clicking the "Confirm Transfer" button It is currently unclear what other options will be available, but Facebook has previously said that if companies join the Data Transfer Project then they would be able to transfer content from Facebook to other platforms. The project was established in 2018 to "create an open-source, service-to-service data portability platform so that all individuals across the web could easily move their data between online service providers whenever they want," according to its website.


Internet not working? A third of Britons say WiFi has slowed in lockdown, as companies insist they are withstanding demand

The Independent - Tech

A third of people say their internet has got worse in lockdown, as people rely on their WiFi tow ork and study from home. It comes despite claims from broadband providers that they are largely coping with the increased demand from people using more of their home internet. According to a YouGov survey, 28 per cent have noticed their internet connection has become slightly worse than usual, while 7 per cent said it was much worse. It comes as three quarters revealed that they were going online more heavily, as the nation attempts to work from home, carry out school remotely or simply keep in touch with loved ones over the course of the pandemic. Seven in 10 of people who experienced connectivity issues said it affected general online activities, followed by streaming at 67 per cent, video calls at 59 per cent and and work-related tasks at 52 per cent.


Department of Computer Science, University of Oxford

Oxford Comp Sci

You may like to look at our GeomLab website which will introduce you to some of the most important ideas in computer programming in an interactive, visual way through a guided activity. The Turtle system is a graphics programming environment designed to provide an enjoyable introduction to programming in Java syntax, together with a practical insight into fundamental concepts of computer science such as compilation and machine code. The Alice system from Carnegie Mellon University provides a point-and-click environment for designing 3-D animations and is a useful introduction to object-oriented programming. Elizabeth is an automated conversation and natural language processing program that provides an enjoyable introduction to natural language processing, and that can give insights into some of the fundamental methods and issues of artificial intelligence within an entertaining context. CodeAcademy provides a fun introduction to programming.


AI, AR, and the (Somewhat) Speculative Future of a Tech-Fueled FBI

WIRED

Burn-In: A Novel of the Real Robotic Revolution is a technothriller that follows the hunt for a terrorist through the streets of a future Washington, DC. More than 300 factual explanations and predictions (with endnotes) are baked into the story, and the research for it ranged from assembling the latest job automation reports to interviews with AI scientists and water-system cybersecurity experts. This is the first chapter, where we meet the main character, FBI special agent Lara Keegan, who is responding to an emergency alert at Washington's Union Station. Soon Keegan will be assigned to test out a robotic policing tool and launched into a conspiracy whose mastermind is using cutting-edge tech to tear the nation apart. The man's greasy red beard and braided Viking-style Mohawk had likely not been washed in a couple weeks, but the way that he cradled his AR-15 assault rifle made it clear he took care of what most mattered to him.


Art and artifice โ€“ IAM Network

#artificialintelligence

An AI developed in Vienna is now debuting in the art business, and will curate the Bucharest Biennale. Practitioners in the arts labour under the misapprehension that the human factor of creativity would shield them from the depredations of artificial intelligence. It is assumed that like machines freed us from physical labour, machine intelligence would rid us of intellectual chores. They would put production line workers, bookkeepers, bank tellers and inventory managers out of work, but novelists and artists, and the marketing networks which have developed around their products, would be unharmed. A computer at Stanford which has digested the complete works of Shakespeare does almost passable knockoffs.


Chinese Debates on the Military Utility of Artificial Intelligence

#artificialintelligence

The Chinese military believes it is losing a high-stakes competition with the United States and Russia to lead the world in artificial intelligence (AI).


Artificial Intelligence; Why Journalism Needs to be Human- Centric? The Policy Times

#artificialintelligence

The outbreak of COVID- 19 has made jobless a lot of workers, now Artificial Intelligence has started taking over people's jobs. Several industries have already been affected in several sectors by the intrusion of artificial intelligence, and journalism turns out not to be an exception. Microsoft has recently fired dozens of journalists, who were responsible for arranging and editing news stories to be replaced with automatic systems. At a time when Indian news media companies are sacking employees due to COVID related economic downfall, the possibility of robots is now a major threat to our job security. Artificial Intelligence is still in its early stages, but it will be interesting to see how it will change the fourth pillar of democracy, in the era of web journalism and shouting debates on Prime Time TV news.


DeepFaceDrawing Generates Photorealistic Portraits from Freehand Sketches - Synced

#artificialintelligence

A team of researchers from the Chinese Academy of Sciences and the City University of Hong Kong has introduced a local-to-global approach that can generate lifelike human portraits from relatively rudimentary sketches. Recent deep image-to-image translation techniques have enabled the prompt generation of human face images from sketches, but these methods tend to suffer from overfitting to their inputs. They thus achieve the most realistic results only when the source drawings have high-quality artistry or are accompanied by edge maps. Unlike most deep learning based solutions for sketch-to-image translation that take input sketches as fixed, 'hard' constraints and then attempt to reconstruct the missing texture or shading information between strokes, the key idea behind the new approach is to implicitly learn a space of plausible face sketches from real face sketch images and find the point in this space that best approximates the input sketch. Because this approach treats input sketches more as'soft' constraints that will guide image synthesis, it is able to produce high-quality face images with increased plausibility even from rough and/or incomplete inputs.