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Facebook is making its own deepfakes and offering prizes for detecting them

Image and video manipulation powered by deep learning, or so-called “deepfakes,” represent a strange and horrifying facet of a promising new field. If we’re going to crack down on these creepy creations, we’ll need to fight fire with fire; Facebook, Microsoft, and many others are banding together to help make machine learning capable of detecting deepfakes — and they want you to help. Though the phenomenon is still new, we are nevertheless in an arms race where the methods of detection vie with the methods of creation. Ever more convincing…

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Full House, Only Everyone Looks Like Ron Swanson

In this disturbingly funny deepfake, Ron Swanson (Nick Offerman) is ‘deepfaked’ onto every main character in Full House, creating a new take on the classic intro/opening credits of the once popular television show. You cannot unsee this. Read more: https://twistedsifter.com/videos/ron-swanson-full-house-intro/

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Googles SMILY is reverse image search for cancer diagnosis

Spotting and diagnosing cancer is a complex and difficult process even for the dedicated medical professionals who do it for a living. A new tool from Google researchers could improve the process by providing what amounts to reverse image search for suspicious or known cancerous cells. But it’s more than a simple matching algorithm. Part of the diagnosis process is often examining tissue samples under a microscope and looking for certain telltale signals or shapes that may indicate one or another form of cancer. This can be a long and…

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Dasha AI is calling so you dont have to

While you’d be hard-pressed to find any startup not brimming with confidence over the disruptive idea they’re chasing, it’s not often you come across a young company as calmly convinced it’s engineering the future as Dasha AI. The team is building a platform for designing human-like voice interactions to automate business processes. Put simply, it’s using AI to make machine voices a whole lot less robotic. “What we definitely know is this will definitely happen,” says CEO and co-founder Vladislav Chernyshov. “Sooner or later the conversational AI/voice AI will replace…

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Announcing TechCrunch Sessions: Enterprise this September in San Francisco

Last year alone, the and included IBM’s acquiring Red Hat for $34 billion, SAP paying $8 billion for Qualtrics, Microsoft landing GitHub for $7.5 billion, Salesforce acquiring MuleSoft for $6.5 billion and Adobe grabbing Marketo for $4.75 billion. No startup category has made more VCs and founders wildly wealthy, and none has seen more mighty companies rise faster or fall harder. That technology and business thrill ride makes enterprise a category TechCrunch has long wanted to tackle head on. We’ll enlist proven enterprise-focused VCs to reveal where they are directing…

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MuseNet generates original songs in seconds, from Bollywood to Bach (or both)

Have you ever wanted to hear a concerto for piano and harp, in the style of Mozart by way of Katy Perry? Well, why not? Because now you can, with OpenAI’s latest (and blessedly not potentially catastrophic) creation, MuseNet. This machine learning model produces never-before-heard music based on its knowledge of artists and a few bars to fake it with. This is far from unprecedented — computer-generated music has been around for decades — but OpenAI’s approach appears to be flexible and scalable, producing music informed by a variety of…

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HyperScience, the machine learning startup tackling data entry, raises $30 million Series B

HyperScience, the machine learning company that turns human readable data into machine readable data, has today announced the close of a $30 million Series B funding round led by Stripes Group, with participation from existing investors FirstMark Capital and Felicis Ventures, as well as new investors Battery Ventures, Global Founders Capital, TD Ameritrade and QBE. HyperScience launched out of stealth in 2016 with a suite of enterprise products focused on the healthcare, insurance, finance and government industries. The original products were HSForms (which handled data-entry by converting hand-written forms to…

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Apple is rebuilding Maps from the ground up

I’m not sure if you’re aware, but the launch of Apple Maps went poorly. After a rough first impression, an apology from the CEO, several years of patching holes with data partnerships and some glimmers of light with long-awaited transit directions and improvements in business, parking and place data, Apple Maps is still not where it needs to be to be considered a world-class service. Maps needs fixing. Apple, it turns out, is aware of this, so it’s re-building the maps part of Maps. It’s doing this by using first-party data…

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8 big announcements from Google I/O 2018

Google kicked off its annual I/O developer conference at Shoreline Amphitheater in Mountain View, California. Here are some of the biggest announcements from the Day 1 keynote. There will be more to come over the next couple of days, so follow along on everything Google I/O on TechCrunch.  Google goes all in on artificial intelligence, rebranding its research division to Google AI Just before the keynote, Google announced it is rebranding its Google Research division to Google AI. The move signals how Google has increasingly focused R&D on computer vision,…

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Andrew Ng officially launches his $175M AI Fund

As the founder of the Google Brain deep learning project and co-founder of Coursera, Andrew Ng was one of the most recognizable names in the machine learning community when he became Baidu’s chief scientist in 2014. He left there in early 2017 and quickly launched a number of new AI projects, including the Deeplearning.ai course and Landing.ai, a project that aims to bring AI to manufacturing companies. It turns out that what he was really working on, though, was his AI Fund (which isn’t really a fund in the traditional sense), which…

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H2O.ais Driverless AI automates machine learning for businesses

Driverless AI is the latest product from H2O.ai aimed at lowering the barrier to making data science work in a corporate context. The tool assists non-technical employees with preparing data, calibrating parameters and determining the optimal algorithms for tackling specific business problems with machine learning. At the research level, machine learning problems are complex and unpredictable combining GANs and reinforcement learning in a never before seen use case takes finesse. But the reality is that a lot of corporates today use machine learning for relatively predictable problems evaluating default rates…

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Regulation could stifle growing China-US venture activity

Jason Rowley is a venture capital and technology reporter for Crunchbase News. More posts by this contributor: Advertising giants leave little room for adtech startups, and VCs are noticing How Ethereum became the platform of choice for ICOd digital assets Last week,Reutersreportedthat the U.S. government is considering placing new restrictions on Chinese investment into American companies developing artificial intelligence, machine learning and other technologies with strategic importance to the United States. The report, based off of documents that havent been released publicly, suggests that, in the view ofReuters, the U.S. government is…

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After beating the worlds elite Go players, Googles AlphaGo AI is retiring

Googles AlphaGo the AI developed to tackle the worlds most demanding strategy game is stepping downfrom competitive matches after defeating the worlds best talent. The latest to succumb isGostop-ranked player,Ke Jie, who lost 3-0 in acquired by Google for around $500 million in 2014,it beatformer Go world champion Lee Sedol, and theChina event took things to the next level with matches against19-year-old Jie, and DeepMind CEO Demis Hassabis explained. This weeks series of thrilling games with the worlds best players, in the country where Go originated, has been the highest…

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This neural network could make animations in games a little less awkward

The graphical fidelity of games these days is truly astounding, but one thing their creators struggle to portray is the variety and fluidity of human motion. An To avoid this, the researchers add a phase function to the neural network that essentially prevents it from wrongly mixing different animation types for instance, taking a step in the middle of a jump. Since our method is data-driven, the character doesnt simply play back a jump animation, it adjusts its movements continuously based on the height of the obstacle, the researchers say…

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