Gating is a key technique used for integrating information from multiple sources by long short-term memory (LSTM) models and has recently also been applied to other models such as the highway network. Although gating is powerful, it is rather expensive in terms of both computation and storage as each gating unit uses a separate full weight matrix. This issue can be severe since several gates can be used together in e.g. an LSTM cell. This paper proposes a semi-tied unit (STU) approach to solve this efficiency issue, which uses one shared weight matrix to replace those in all the units in the same layer. The approach is termed "semi-tied" since extra parameters are used to separately scale each of the shared output values. These extra scaling factors are associated with the network activation functions and result in the use of parameterised sigmoid, hyperbolic tangent, and rectified linear unit functions. Speech recognition experiments using British English multi-genre broadcast data showed that using STUs can reduce the calculation and storage cost by a factor of three for highway networks and four for LSTMs, while giving similar word error rates to the original models.

We present a first attempt to perform attentional word segmentation directly from the speech signal, with the final goal to automatically identify lexical units in a low-resource, unwritten language (UL). Our methodology assumes a pairing between recordings in the UL with translations in a well-resourced language. It uses Acoustic Unit Discovery (AUD) to convert speech into a sequence of pseudo-phones that is segmented using neural soft-alignments produced by a neural machine translation model. Evaluation uses an actual Bantu UL, Mboshi; comparisons to monolingual and bilingual baselines illustrate the potential of attentional word segmentation for language documentation.

In honor of 2018 FIFA World Cup in Football (Soccer for US fans), we mad slight adjustments to our classic KDnuggets cartoon What can the players do when their every move is studied and predicted? KDnuggets cartoon by Ted Goff has one possible answer. Coach: "Remember, the other team is using Machine Learning on your games predict your play. So, kick the ball with your other foot!" See other cartoons on KDnuggets Cartoons page.

In this conversation with Elias Crespin, a Venezuelan-born artist who builds kinetic sculptures using complex algorithms, they discuss the evolution of Crespin's work and the future of Artificial Intelligence as it pertains to art. You started your career as a computer engineer. When and how did you start creating art? As a teenager I wanted to be an architect. I loved to draw blueprints.

An entrepreneur with a background in verifying the provenance of so-called conflict minerals is applying that expertise to keep tabs on one of the world's most widely traded commodities: coffee. Tracking this kitchen staple requires a mélange of emerging technologies such as blockchain, artificial intelligence and the internet of things. The goal of his venture, bext360, is to help coffee buyers automate their dealings with fair-trade farmers, allowing them to more closely track the source and quality of the fair trade beans they're buying while speeding up payments for local growers. For buyers, the service promises deeper transparency, as well as a way of automating the verification process. For harvesters and growers -- largely women -- the service could mean more ready access to investment capital, according to bext360 CEO Daniel Jones.

Artificial intelligence keeps barreling forward, and of all the sectors it will likely impact, we ought to think through autonomous vehicles, criminal justice and the media sooner than later. Those are the first three areas that a new AI-centered philanthropic fund is engaging first. The fund formed early this year with a $27 million pool of donations from the Knight and Hewlett foundations, Reid Hoffman, the Omidyar Network, and investor Jim Pallotta. Now it's announced its first round of payouts. The main grantees won't be a surprise, as the Berkman Klein Center at Harvard and the MIT Media Lab are the anchor institutions, and will share $5.9 million.

Artificial Intelligence Market, the foremost aim of the report is to provide accurate market estimation and to forecast the market on the basis of market segmentation. Significant segments of the market analyzed within the study are technology, end user, and region. The study also provides detailed analysis of top impacting factors and their influence over the market. The report provides the detailed market size with respect to five major regions namely North America, Europe, South America, Asia-Pacific, and Rest of the World. The report contains company profiles of key market leaders and their competitive strategies.

Automation Anywhere has opened its Bot Store to machine learning and AI developers, allowing them to offer up their bots for developing new applications and services. The company has added its cognitive IQ Bot tech into the mix, to help turn unstructured data into structured data for developing business processes such as financial data. Integrating automation into invoicing, payments and purchase ordering will enable verticals struggling with innovation to concentrate on being art eh forefront of their industry rather than dealing with reams of paperwork. Bot Store has grown rapidly as a resource for developers to share their plug'n' play, off the shelf robots. In fact, Automation Anywhere says the marketplace has grown 100% just two months after launching.

Robots aren't playing professional soccer just yet, but they can certainly help predict it! With the FIFA World Cup kicking off, San Francisco-based tech firm Unanimous A.I. has used its considerable artificial intelligence expertise to predict the outcome of the 32-team men's soccer tournament. Given that the startup has previously predicted the Super Bowl results successfully right down to the exact final score, we totally think this is worth taking seriously. "These predictions were generated using swarm A.I. technology," Louis Rosenberg, founder and CEO of Unanimous A.I., told Digital Trends. "This means it uses a unique combination of human insights and artificial intelligence algorithms, resulting in a system that is smarter than the humans or the machines could be on their own. It works by connecting a group of people over the internet using A.I. algorithms, enabling them to think together as a system, and converge upon predictions that are the optimized combination of their individual knowledge, wisdom, instincts, and intuitions."

Artificial intelligence could be heading to Australian classrooms -- and in schools overseas, it's already there. In Bahia, Brazil, 15-year-old students David and Roama from Colegio Perfil often start their school day at home, or on the bus. They pick up their phones, log into the education app Geekie Lab, and begin their classes from wherever they are. "You can access it everywhere, as long as you have your phone with you," David said. Students from Colegio Perfil in Bahia use phones or computers to access the Geekie app.