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Meet The AI Designed To Help Humans, Not Replace Them


ASAPP founder Gustavo Sapoznik developed software that trains customer-service reps to be "radically" more productive, winning the young startup an $800 million valuation. If you've ever felt your blood boil after sitting on hold for 40 minutes before reaching an agent . . . A customer-service representative for JetBlue, for instance, might have to flip rapidly among a dozen or more computer programs just to link your frequent-flier number to a specific itinerary. "Imagine that cognitive load, while you have someone screaming at you or complaining about some serious problem, and you're swiveling between 20 screens to see which one you need to be able to help this person," says Gustavo Sapoznik, 34, the founder and CEO of ASAPP, a New York City–based developer of AI-powered customer-service software. Sapoznik remembers just such a scene while shadowing a call-center agent at a "very large" company (he won't name names), watching the worker navigate a "Frankenstack" patchwork of software, entering a caller's information into six different billing systems before locating it.

'Booyaaa': Australian Federal Police use of Clearview AI detailed


Earlier this year, the Australian Federal Police (AFP) admitted to using a facial recognition tool, despite not having an appropriate legislative framework in place, to help counter child exploitation. The tool was Clearview AI, a controversial New York-based startup that has scraped social media networks for people's photos and created one of the biggest facial recognition databases in the world. It provides facial recognition software, marketed primarily at law enforcement. The AFP previously said while it did not adopt the facial recognition platform Clearview AI as an enterprise product and had not entered into any formal procurement arrangements with the company, it did use a trial version. Documents published by the AFP under the Freedom of Information Act 1982 confirmed that the AFP-led Australian Centre to Counter Child Exploitation (ACCCE) registered for a free trial of the Clearview AI facial recognition tool and conducted a pilot of the system from 2 November 2019 to 22 January 2020.

LI artificial intelligence startup predicts where COVID-19 will spike – IAM Network


A Long Island artificial intelligence startup has built software aimed at pinpointing U.S. counties where the COVID-19 outbreak is likely to be most deadly. In a June report, the data-mining company, Akai Kaeru LLC, forecast spiking COVID-19 mortality with the heaviest concentrations in counties of the Southeast, including Mississippi, Georgia and Louisiana, said co-founder and chief executive Klaus Mueller. Nationwide, the software found 985 out of all 3,007 U.S. counties are at risk. "These patterns identify groups of counties that have a steeper increase in the death-rate trajectory," he said. Closer to home, the software found Nassau and Suffolk counties are likely to be relatively stable, but Westchester and Rockland counties are potential tinderboxes that could tip into crisis, said Mueller, a computer science professor on leave from Stony Brook University.

UiPath raises $225 million to automate repetitive back-office tasks


Robotic process automation startup UiPath today announced it has closed a $225 million funding round, bringing its total raised to over $1.2 billion. While the new round is roughly half the $568 million UiPath raised last April, it catapults the New York-based company's post-money valuation to $10.2 billion, up from $7 billion in 2019 and $3 billion in 2018. CEO Daniel Dines says the funding will be used to scale UiPath's platform and deepen its investments in "AI-powered innovation" as it expands its cloud software-as-a-service (SaaS) offerings. The round will also likely lay the groundwork for future strategic deals, following UiPath's acquisition of startups StepShot and ProcessGold last October. RPA -- technology that automates monotonous, repetitive chores traditionally performed by human workers -- is big business.

Breaking CAPTCHA Using Machine Learning in 0.05 Seconds


Everyone despises CAPTCHAs (humans, since bots do not have emotions) -- Those annoying images containing hard to read the text, which you have to type in before you can access or do "something" online. CAPTCHAs (Completely Automated Public Turing tests to tell Computers and Humans Apart) were developed to prevent automatized programs from being mischievous (filling out online forms, accessing restricted files, accessing a website an incredible amount of times, and others) on the world wide web, by verifying that the end-user is "human" and not a bot. Nevertheless, several attacks on CAPTCHAs have been proposed in the past, but none has been as accurate and fast as the machine learning algorithm presented by a group of researchers from Lancaster University, Northwest University, and Peking University showed below. One of the first known people to break CAPTCHAs was Adrian Rosebrock, who, in his book "Deep Learning for Computer Vision with Python," [4] Adrian goes through how he bypassed the CAPTCHA systems on the E-ZPass New York website using machine learning, where he used deep learning to train his model by downloading a large image dataset of CAPTCHA examples in order to break the CAPTCHA systems. The main difference between Adrian's solution and the solution from the research scientists from Lancaster, Northwest, and Peking, is that the researchers did not need to download a large dataset of images to break the CAPTCHAs system, au contraire, they used the concept of a generative adversarial network (GAN) to create synthesized CAPTCHAs, along with a small dataset of real CAPTCHAs to create an extremely fast and accurate CAPTCHA solver.

How Remote Work Can Fuel The New AI Tech Centers


As the world prepares to embrace the new normalcy of life, a lot of companies have started allowing their employees to work from home to ensure their safety after the outbreak of COVID-19. This is especially true for organizations with computer programming, data science, artificial intelligence, engineering, and machine learning workforce. Implemented as a temporary solution, remote work is likely to become the normal way of keeping such businesses functional. Most of the companies have always preferred hiring locally, requiring employees to stay in the local region even when allowing work from home. Due to this, individuals from different parts of the world migrate to locations that have more job opportunities such as Silicon Valley, New York City, Seattle, etc.

The Birthplace of Artificial Intelligence?


International communities of invention and innovation, IFIP WG 9.7 International conference on the history of computing, HC 2016, Brooklyn, New York, May 25–29 2016, revised selected papers, Springer International Publishing AG Switzerland, Cham 2016, pages 181–185

New US visa rule leaves Indian, Chinese students in panic

Al Jazeera

New York, United States - The Trump administration's abrupt changes to foreign student visa rules have upended the plans of more than a million international students currently enrolled in institutions across the United States, with many fearing for their future. The US Immigration and Customs Enforcement (ICE) on Monday announced that it would strip the visa of foreign students whose entire courses have moved online due to the coronavirus pandemic, with critics calling the move "xenophobic" and part of President Donald Trump's hardline immigration policy. The directive by ICE's Student and Exchange Visitor Program is likely to hit hundreds of thousands of students, particularly from Asian countries, hard, as they will have to leave the US or face deportation. Many of them might face the prospect of distance learning from the other side of the world, where time zones, unreliable internet connections, and internet bans would make completing their degree programmes difficult - if not impossible. According to research conducted by ICE, nearly 80 percent of all international students in the US are from Asia, with China and India accounting for nearly half of them.

What I Learned from Losing $200 Million - Issue 87: Risk


I'd lost almost $200 million in October. It was 2008, after the Lehman Brothers bankruptcy. Banks were failing left and right. I worked at a major investment bank, and while I didn't think the disastrous deal I'd done would cause its collapse, my losses were quickly decimating its commodities profits for the year, along with the potential pay of my more profitable colleagues. I thought my career could be over. I'd already started to feel those other traders and salespeople keeping their distance, as if I'd contracted a disease. My eyes started to fill from a sudden wash of gratitude and relief that came, I think, from no longer being alone. I landed in London on the morning of November 4, having flown overnight from New York. I was a derivatives trader, but also the supervisor of the bank's oil options trading team, about a dozen guys split between Singapore, London, and New York.

FaZe Clan among several esports organizations receiving PPP loan money

Washington Post - Technology News

Though there is a range between these organizations in both financial and competitive success, the common thread between them all is their participation in these Activision Blizzard-operated leagues that required franchise buy-ins, reported to have been for at least $20 million per team. The organizations also share similarly acclaimed and wealthy ownership groups. Enthusiast Gaming is a publicly traded Canadian company. The co-CEO and co-founder of NRG is Sacramento Kings co-owner Andy Miller. Andbox is a subsidiary of a venture capital fund backed by the owners of the New York Mets.