As everything is taking place on servers rather than your phone, Google isn't facing constraints on processing power or storage with Sound Search. It's combing through roughly 1,000 times as many songs, and is using a neural network four times larger. It also increased the number of dimensions (that is, details in the fingerprint) to reduce the amount of work, and doubled the density of those fingerprints (to increase the chances of a match). The result is song recognition that can search a much wider range of tunes and produce matches considerably sooner.The company acknowledges that there's still work left. Its methods aren't good at picking up sound in particularly loud (or quiet) spaces, and it isn't as quick as it could be. This might not...
Online search provider Baidu — referred to as the Google of China — has been expanding aggressively into cutting edge technology such as artificial intelligence and autonomous vehicles. The Chinese tech titan is one of the largest internet companies in the world with a strong user base, thanks in no small part to China's massive population of 1.4 billion people. About 70 percent of China's internet searches go through Baidu. The Chinese-language search platform is one of the most visited websites in the world, with its traffic surpassed only by Google, YouTube and Facebook, according to Alexa Internet, which measures web d
Google Cloud Picks Carnegie Melon Professor To Lead AI ForbesFull coverage Site Search 360 Custom Site Search
When computer scientist Christian Berger’s team sought to get its project about self-driving vehicle algorithms on the road, it faced a daunting obstacle. The scientists, at the University of Gothenburg in Sweden, found an overwhelming number of papers on the topic — more than 10,000 — in a systematic literature review. Investigating them properly would have taken a year, Berger says. Luckily, they had help: a literature-exploration tool powered by artificial intelligence (AI), called Iris.ai. Using a 300-to-500-word description of a researcher’s problem, or the URL of an existing paper, the Berlin-based service returns a map of thousands of matching documents, visually grouped by topic. The results, Berger says, provide “a quick and nevertheless precise overview of
Stamping out the spread of child sexual abuse material (CSAM) is a priority for big internet companies. But it’s also a difficult and harrowing job for those on the frontline — human moderators who have to identify and remove abusive content. That’s why Google is today releasing free AI software designed to help these individuals. Most tech solutions in this domain work by checking images and videos against a catalog of previously identified abusive material. (See, for example: PhotoDNA, a tool developed by Microsoft and deployed by companies like Facebook and Twitter.) This sort of software, known as a “crawler,” is an effective way to stop people sharing known previously-identified CSAM. But it can’t catch material that hasn’t already been marked as illegal. For that, human modera
By IANS SAN FRANCISCO: The Harvard University has teamed up with Google to develop a machine learning-based model to predict aftershock locations post a quake. It may help in the deployment of emergency services and assist in evacuation plans, a researcher said."We teamed up with machine learning experts at Google to see if we could apply deep learning to explain where aftershocks might occur," Phoebe DeVries, Post-Doctoral student at the Harvard, wrote in a Google blog post. Earthquakes typically occur in sequences -- an initial "mainshock" (the event that usually gets the headlines) is often followed by a set of "aftershocks." Though these aftershocks are usually smaller than the main shock, in some cases, they may significantly hamper recovery efforts. Even thoug
Jia Li is very passionate about artificial intelligence (AI) and how it can improve healthcare. When one of her close family members suffered from a skin condition, she worked on developing an image recognition technology to help classify such diseases and diagnose them better. Now, as the head of R&D for Cloud AI, Google Cloud and an adjunct professor at Stanford University’s School of Medicine, Dr. Li and her team at Google focus on research and innovation to solve real-world problems. This includes developing AI products on Google Cloud to power solutions for diverse industries. Edited excerpts: Dr. Li who before joining Google led research and innovation efforts at Snapchat’s parent company Snap and Yahoo! Labs said that AI can have a huge impact on healthcare in terms of assis
Google Trusts DeepMind AI To Manage Data Centre Cooling ForbesFull coverage Zoomd Custom Site Search
Researchers at CB Insights have released an extensive report on Google's business, illustrating just how dedicated the search company is to artificial intelligence. CB Insights found that Google typically files each year more AI-related patents than the company's top rivals, including Amazon, Microsoft and Facebook. Google is filing for more AI patents than rivalsCB Insights Google's top execs have long said that AI is core to the company's future growth, but CB Insights looked at a wide variety of data to try and learn how determined Google is to dominate AI. One area within AI that is of particular interest to Google is neural networks. "Google is also focused on building out its deep learning capabilities," CB Insights researchers wrote, "which is more complex than traditional mac...
If you’re totally stumped on a page of Where’s Waldo and ready to file a missing persons report, you’re in luck. Now there’s a robot called There’s Waldo that’ll find him for you, complete with a silicone hand that points him out. Built by creative agency Redpepper, There’s Waldo zeroes in and finds Waldo with a sniper-like accuracy. The metal robotic arm is a Raspberry Pi-controlled uArm Swift Pro which is equipped with a Vision Camera Kit that allows for facial recognition. The camera takes a photo of the page, which then uses OpenCV to find the possible Waldo faces in the photo. The faces are then sent to be analyzed by Google’s AutoML Vision service, which has been trained on photos of Waldo. If the robot determines a match with 95 percent confidence or higher, it’ll point to all