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Google Home revealed: New robot assistant built to sit inside people's houses and listen to what they want
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
Google baked its AI 'Assistant' into the new Pixel phones
The Pixel and Pixel XL may look new on the outside, but just like grandma says, it's what's inside that counts. Google has tweaked the underlying software that powers the Pixels, baking its AI Assistant directly into the phones and launching them with Nougat 7.1. Assistant is Google's conversational AI helper, similar to Microsoft's Cortana or Apple's Siri. Assistant's machine learning capabilities already power Allo, Google's mobile-only messaging app, and it also shows up in products like Google Home. In Allo, Assistant allows users to search for things like directions, restaurant suggestions and weather conditions with conversational phrases, and it even suggests responses (a la Inbox).
AI-powered voice-assistant Google Home costs 129
During its hardware-announcing extravaganza Google announced that its voice-powered assistant/Bluetooth speaker Google Home will cost 129 and will ship on November 4th. It's the stationary piece of Google's AI plans to make the platform all about you. "The goal is to build a personal Google for each and every user," CEO Sundar Pichai said. Like the Amazon Alexa platform, the voice-activated Google Home assistant will control connected home devices. But it also acts as a Chromecast that can stream and be used to control other Google casting devices with your voice.
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets • /r/MachineLearning
This paper makes a small modification to a standard CNN architecture to improve results with small datasets. This shows a good improvement on CIFAR10/100 when trained with 40% of the data (usually 2-6%). I wish the authors shared their code though. They specifically mention using keras, so it's cant be more than a few hundred lines of python.
A Smarter Way to Compare Birth Control Methods
It's happened at the last two parties I've gone to in the Bay Area: At a certain point in the evening, a group of women ends up sitting together, forming a slightly closed-off circle. Maybe a single dude is hanging around, standing at the periphery. He'll interject once in a while, but there's not much he can add here: It's time to talk birth control. Those NuvaRing commercials where a gaggle of girl pals trades info about insertion and ease of use come off cloying and cliche, but … man. These conversations happen everywhere, and they reflect a big gap in information available about birth control methods.
AI trained to slay players in a computer game could one day lead to killer robots
Two students have built an AI that could be the basis of future killer robots. In a controversial move, the pair trained an AI bot to kill human players within the classic video game Doom. Critics have expressed concern over the AI technology and the risk it could pose to humans in future. Devendra Chaplot and Guillaume Lample, from Carnegie Mellon University in Pittsburgh trained an AI bot - nicknamed Arnold - using'deep reinforcement learning' techniques. While Google's AI software had previously been shown to tackle vintage 2D Atari games such as Space Invaders, the students wanted to expand the technology to tackle three-dimensional first-person shooter games like Doom.
Sarcasm Detection with Machine Learning in Spark
This post is inspired by a site I found whilst searching for a way to detect sarcasm within sentences. As humans we sometimes struggle detecting sarcasm when we have a lot more contextual information available to us. People are emotive when they speak, they use certain tones and these traits can help us understand when someone is being sarcastic. However we don't always catch it! So how the hell could a computer detect this, when all it has is text.
Pager is raising 6M as it seeks to add health system partners (Updated) - MedCity News
A little more than three months ago, Pager's management team said the business model would change to focus on adding health systems as customers. Now the digital health company has filed documents with the Security and Exchange Commission's website, indicating the company has raised a little more than 5.2 million with a goal of 6 million, according to a Form D filing. In June, Andrew Chomer of Pager told MedCity News that it forged a collaboration with Weill Cornell Medicine health systems in a deal with New York Presbyterian Hospital. The agreement gives Pager's users access to primary care doctors and specialists within the Weill Cornell Medicine system from board-certified physicians and nurses across specialties through its app. Through Pager's triage platform, patients are evaluated and if necessary, referred to a Weill Cornell specialist who advise on the next steps for care.
Google's Pixel hardware event is really about software
Later this week, Google is expected to unveil a bevy of new products: phones, a smart home hub, a Wi-Fi router and possibly more. It's all stuff you can touch and pick up -- objects made of atoms. But don't let the hype around the new hardware fool you. As is almost everything Google does, this is firmly about code. Think of hardware, whether it's the rumored Pixel phone or the previously unveiled Google Home speaker, as the physical gateway into the company's software, which can't exist on its own.
Could chatbots not catch on?
As I stated earlier, bots aren't new. What's new is the progress in'technology' that's coming along with it – the boom in messaging apps or the improvements in AI and NLP.Now, you just need to download the bot and start using it – no questions asked. The mental cognitive load of learning is gone. Add to it the saturation of the app economy (Now its far too difficult to establish a business by developing an app), and look at the big picture: Chatbots are here.