A growing number of venture capital and technology executives are pushing for a code of ethics for artificial intelligence startups, as well as tools to make algorithms’ decision-making process more transparent and best practices that include open, consistent communication. At Google, chief decision scientist Cassie Kozyrkov believes humans can fix AI problems. But the technology is still under intense scrutiny from the Department of Housing and Urban Development, the city of San Francisco and the European Commission, among others. Continue reading Tech Firms and Investors Develop AI Ethics, Best Practices

At its re:MARS AI conference earlier this month, Amazon previewed Alexa Conversations, a module within the Alexa Skills Kit that melds Alexa voice apps to allow users to perform complicated tasks requiring multiple skills — all with fewer lines of code. That’s because a recurrent neural network will be able to “generate dialogue flow” automatically, thus limiting the number of steps a user needs to order food or reserve a ticket. Amazon vice president David Limp dubbed Conversations “the Holy Grail of voice science.” Continue reading Alexa Conversations for Complex Tasks with Less Coding

Amazon, which launched its new StyleSnap feature to select iOS and Android users in April, will soon make the in-app tool widely available, said company worldwide consumer head Jeff Wilke at the company’s re:MARS AI conference in Las Vegas. Users can reach StyleSnap via a shortcut found by tapping the camera icon in the Amazon app’s upper right-hand corner. Based on image recognition, the machine learning-enabled StyleSnap (and Pinterest Lens competitor) will offer similar items to any photo or screenshot uploaded by a user. The algorithms also incorporate computer vision and deep learning. Continue reading Amazon’s AI-Enabled StyleSnap Is Ideal for Fashion Market

Amazon is launching a new service called Amazon Personalize in select regions of the U.S., Asia and Europe, with additional locations to be added. The service, first revealed at last year’s re:Invent conference, aims to personalize the customer experience by helping developers build apps, websites, email marketing and content management systems that provide product recommendations and personalized search results. “We are excited to share with AWS customers the expertise we’ve developed during two decades of using machine learning to deliver great experiences on Amazon.com,” said Swami Sivasubramanian, VP of machine learning. Continue reading Amazon Enables Tailored Recommendations via AI Service

Google research scientists report that they have produced realistic frames from open source video data sets at scale. Neural networks are able to generate complete videos from only a start and end frame, but it’s the complexity, information density and randomness of video that have made it too challenging to create such realistic clips at scale. The scientists wrote that, to their knowledge, “this is the first promising application of video-generation models to videos of this complexity.” The systems are based on a neural architecture known as Transformers, as described in a Google Brain paper, and are autoregressive, “meaning they generate videos pixel by pixel.” Continue reading Google Scientists Generate Realistic Videos at Scale with AI

Google and Microsoft are about to go mano-a-mano with new cloud-based gaming services. Google plans a limited launch in November of its Stadia service, which the company says will stream any title to any device. Microsoft, meanwhile, is building its Project xCloud on Azure, its own cloud network. Because every game on Xbox One, including Xbox 360 backward-compatible titles will be able to run on xCloud, the new service will debut with 3,500+ game titles. Microsoft said a beta version of its xCloud service will debut in October of this year. Continue reading Google and Microsoft to Intro Cloud-Based Gaming Services

British startup Graphcore has developed an AI chip for computers that attempts to mimic the neurons and synapses of the human brain, so that it can “ponder” questions rather than analyze data. Up until now, said Graphcore co-founder and chief executive Nigel Toon, GPUs and CPUs have excelled at precision, using vast amounts of energy to achieve small steps. Toon and Graphcore co-founder and CTO Simon Knowles dub their less precise chips as “intelligence processing units” (IPUs), that excel at aggregating approximate data points. Continue reading Graphcore Builds Intelligence Processing Units For Better AI

At DeepMind, Alphabet’s AI labs, researchers built virtual video-game players that master the game by playing other bots. Most of the time, the bots played a capture-the-flag video game better than human game testers who are professional. DeepMind researcher Max Jaderberg said that the work, first described in the company blog last year, is moving towards “developing the fundamental algorithms” that could in the future lead to a “more human intelligence.” Not every lab, however, can afford the compute power required. Continue reading Bots Take On Gamers to Help Advance Artificial Intelligence

Los Angeles startup Cinelytic uses artificial intelligence to project box office returns. It licenses data about past movie performances and cross-references that with themes and actors in order to identify patterns. The software allows the user to input script and cast, and then try to see how specific actors would likely impact box office receipts. Other companies are experimenting with applying AI to film production, including the Belgium-based ScriptBook, which its founders say can predict success via an analyzed script. Continue reading Hollywood Warms Up to AI Algorithms For Planning Content

At Computex in Taipei this week, Intel held a Technology Open House and debuted its 10th generation Intel Core processors and prototype devices that combine ambient computing, artificial intelligence and modular computing. Project Athena to bring AI to the PC was also on display, and the company unveiled its Intel NUC Compute Element, available for several processors. Intel corporate vice president of client engineering Jim Johnson stressed that the company is putting “a new class of compute performance and intelligence in people’s hands.” Continue reading Intel Combines Ambient Computing, AI, Modular Computing

The World Economic Forum’s Centre for the Fourth Industrial Revolution this week announced the creation of six new councils to address policy guidance in areas including artificial intelligence, autonomous vehicles, blockchain, IoT and precision medicine. Already a source of friction between the U.S. and China, AI is one emerging technology seen by many nations as crucial to future development and competition. As Stanford Institute for Human-Centered AI deputy director Michael Sellitto puts it, “many see AI through the lens of economic and geopolitical competition … [creating] barriers that preserve their perceived strategic advantages, in access to data or research.” Continue reading World Economic Forum Launches Councils on AI, IoT, More

Nvidia’s new EGX Platform will bring AI computing to the edge, meaning it will take place at the sensors, before being sent to cloud-based data centers. The platform is intended to handle the immense growth in sensors embedded in Internet of Things devices and wearables, which has resulted in a massive amount of raw data. According to Nvidia senior director of enterprise and edge computing Justin Boitano, “we will soon hit a crossover point where there is more computing power at the edge than in data centers.” Continue reading Nvidia EGX Brings AI Computing to the Edge, Enabling IoT

In Q1 2019, Facebook removed 2.2 billion fake accounts from its popular social platform. That compares to 583 million fake accounts the company deleted in Q1 2018; in Q4 that year, it removed “just more” than 1 billion. Facebook said that “the vast majority” is removed within minutes of being created, so they do not count in its monthly/daily active user metrics. In its biannual report, Facebook also said its automated detection software used to delete “illicit content” was improving, removing more than half of the targeted speech. Continue reading Facebook Removes More Fake Accounts and Hate Speech

Google is using artificial intelligence software to remove misleading and objectionable videos from YouTube’s homepage and the app’s home screen. The software reportedly is able to analyze massive amounts of video footage, pick out the offending clips and blocks them — all without human assistance. Sources state the software, whose internal name is “trashy video classifier,” was first tested in 2015 but was widely deployed in 2017 after a series of inappropriate videos aimed at children were posted to the popular video-sharing platform. Continue reading Google Uses AI Classifier to Sanitize YouTube Home Page

Several U.S. senators have proposed the Artificial Intelligence Initiative Act to create a national AI strategy and fund federal R&D in this growing area to the tune of $2.2 billion. The initiative’s $2.2 billion would be awarded over a five-year period to multiple federal agencies. At the same time, although the European Commission put out guidelines for artificial intelligence technology, some experts are saying that the tech companies that participated in drafting guidelines compromised them to protect their own interests. Continue reading Senators Press For National Artificial Intelligence Strategy