To further enhance its research capabilities Eco Marine Power announced today that it will begin using the Neural Network Console provided by Sony Network Communications Inc., as part of a strategy to incorporate Artificial Intelligence (AI) into various ongoing ship related technology projects including the further development of the patented Aquarius MRE (Marine Renewable Energy) and EnergySail. The Neural Network Console is an integrated development environment using deep learning for AI creation and has been used in deep learning applied technology development within Sony since 2015. Various functions are included such as recognition technology and a full-fledged GUI (graphical user interface) and these allow for deep learning programs to be developed. Deep learning refers to a form of machine learning that uses neural networks modelled after the human brain and is notable for its high versatility with applications in a wide variety of fields including signal processing, and robotics. An initial area of focus will be on studying how the Neural Network Console and AI can assist with the development of the automated control system for EMP's EnergySail.

PALO ALTO, Calif., December 11, 2017 -- Cloudera, Inc., (NYSE: CLDR), the modern platform for machine learning and analytics optimized for the cloud, announced its ranking as one of the fastest growing companies in North America on Deloitte's Technology Fast 500 . "We continue to demonstrate sustained growth and penetration in machine learning and analytics, as we add more solutions for the cloud by developing innovative technology that gives our enterprise customers the solutions they need in the age of digital transformation," said Tom Reilly, chief executive officer at Cloudera. "An example of this focus on innovation is our acquisition earlier this year of a recognized leader in machine learning applied research, development, and solutions, Fast Forward Labs." In addition to the Deloitte Technology Fast 500 recognition, Cloudera has won multiple awards this year including Datanami Editors' Choice Award, IoT & Innovation Award, Big Data 50 award, and 2017 Stratus Award, to name a few. Awardees of the Deloitte Technology Fast 500 are selected for this honor based on percentage fiscal year revenue growth from 2013 to 2016.

Amazon SageMaker is a fully managed service for developers and data scientists to quickly build, train, deploy, and manage their own machine learning models. AWS also introduced AWS DeepLens, a deep learning-enabled wireless video camera that can run real-time computer vision models to give developers hands-on experience with machine learning. And, AWS announced four new application services that allow developers to build applications that emulate human-like cognition: Amazon Transcribe for converting speech to text; Amazon Translate for translating text between languages; Amazon Comprehend for understanding natural language; and, Amazon Rekognition Video, a new computer vision service for analyzing videos in batches and in real-time. Today, implementing machine learning is complex, involves a great deal of trial and error, and requires specialized skills. Developers and data scientists must first visualize, transform, and pre-process data to get it into a format that an algorithm can use to train a model.

WIRE)--Alteryx, Inc. (NYSE: AYX), a leader in self-service data analytics, today announced that customers can take advantage of one-click, self-service predictive model deployment capabilities of the Alteryx solution on Amazon Web Services (AWS). Alteryx has also achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. The designation recognizes Alteryx for providing business analysts, data scientists and ML practitioners with automated, cutting-edge tools to create and deploy predictive models on AWS. Deployment of predictive models continues to be a major challenge for many companies, with only 13% of data scientists surveyed by Rexer Analytics saying their models always get deployed. Alteryx Promote was designed to help customers address the labor-intensive process of getting models into production by providing an end-to-end data science system for developing, deploying and managing predictive models and real-time decision APIs.

ODSC brings together some of the brightest minds shaping the future of AI and data science at conferences around the world, including Boston, London, and San Francisco. Artificial intelligence and data science are poised to dominate the technology market over the next few years. Data scientists and AI experts are leveraging this technology to make autonomous machines, conversational AI, machine vision and many related technologies ubiquitous. Companies moving quickly to exploit the competitive advantages made possible by these technologies will undoubtedly dominate their industries. However, unlike some of the technologies of the past, much of AI and data science does not lend itself easily to turn-key solutions.

Bitcoin Press Release: Signals Network provides sophisticated machine learning algorithms to help cryptotraders build their investment strategies. November 22, 2017, Prague, Czech Republic -- Crypto trading strategies are about to become a lot smarter. Signals, a Prague based startup, is building a platform to connect traders with data scientists. Signals will have an interface where traders will be able to assemble machine learning-powered trading strategy with a few clicks. Signals is going to offer sophisticated machine learning algorithms to anyone, and its team wants to achieve that by building a network open to cryptotraders and data science developers.

BootstrapLabs is pleased to announce that its annual Applied Artificial Intelligence Conference will return for the third year on April 12, 2018 in San Francisco. The one day conference brings together the brightest and most experienced professionals in the field of AI for an immersive day of learning, discussion, and connection. This year's agenda will focus on the latest and future impact of AI applications and commercialization across a breadth of sectors, including Transportation, Healthcare, Finance, Future of Work and Cybersecurity. Inviting world class perspectives from research, entrepreneurship, investing, and business transformation, the event aims to capture the deepest insights available in the AI landscape today. You'll have access to practical wisdom and methodologies on how to take advantage of AI's powerful potential.

The ride-hailing company Lyft is now sending self-driving cars to pick up passengers in a Boston neighborhood. The cars will have backup human drivers at the wheel and will be limited to short routes within the city's Seaport District, a burgeoning tech startup hub. Lyft and its Boston-based partner nuTonomy, which builds self-driving software, announced Wednesday that the pilot project has begun. The Renault Zoe EVs will be limited to short routes within the city's Seaport District The cars will initially be a small number of Renault Zoe EVs, which Nutonomy began road-testing in Boston starting last November. Nutonomy engineers are already working on integrating Lyft software into'a couple of' vehicles, to be deployed sometime'in the coming months,' for actual customer pickups, though no more specific timeline was given.

LAS VEGAS & LONDON--(BUSINESS WIRE)--Accenture (NYSE:ACN) has completed a pilot program that uses artificial intelligence (AI) and the ease of voice to help older people manage the daunting challenges of navigating their care delivery and well-being. The Accenture Liquid Studio in London developed an AI-powered platform (the Accenture Platform) that can learn user behaviors and preferences and suggest activities to support the overall physical and mental health of individuals ages 70 and older. The Accenture platform, which runs on the Amazon Web Services (AWS) cloud, includes a'Family and Carer' portal that lets family and caregivers check on the individual's daily activities, such as whether they have taken their medication or made new requests for caregivers. The Accenture platform can also spot abnormalities in behavior and alert family or friends, based on user defined permissions. Other services provided by the Accenture platform helped participants find local events as well as potential new friends, encouraging them to become more active and social.

DUBLIN--(BUSINESS WIRE)--The "Automotive Artificial Intelligence - Global Market Outlook (2017-2023)" report has been added to Research and Markets' offering. The Global Automotive Artificial Intelligence Market accounted for $563.58 million in 2016 and is expected to reach $5,265.81 million by 2023 growing at a CAGR of 37.6% during the forecast period. The automotive industry has seen the promise of artificial intelligence (AI) technology, and is among the industries at the forefront of using AI to augment human actions and to mimic the actions of humans. The arrival of standards such as the adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) and rising demand for convenience and safety presents an opportunity for OEMs to build up novel and innovative artificial intelligence systems that would attract customers. Although 2016 was spoiled by some technological failures in self-driving cars, the year als-observed a couple of successful test runs in the US.