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Deep Learning in Robotics and Healthcare Summits: Join & save with KDnuggets offer

@machinelearnbot

RE•WORK are pleased to announce the launch of'Expo Only Passes' for the upcoming San Francisco events, on January 25 from 14:00 - 18:00. Plus, save 20% on passes to all RE•WORK summits with the code KDNUGGETS.


HPE Introduces New Set of Artificial Intelligence Platforms and Services

#artificialintelligence

HPE Rapid Software Installation for AI: HPE introduced an integrated hardware and software solution, purpose-built for high performance computing and deep learning applications. Based on the HPE Apollo 6500 system in collaboration with Bright Computing to enable rapid deep learning application development, this solution includes pre-configured deep learning software frameworks, libraries, automated software updates and cluster management optimized for deep learning and supports NVIDIA Tesla V100 GPUs. HPE Deep Learning Cookbook: Built by the AI Research team at Hewlett Packard Labs, the deep learning cookbook is a set of tools to guide customers in selecting the best hardware and software environment for different deep learning tasks. These tools help enterprises estimate performance of various hardware platforms, characterize the most popular deep learning frameworks, and select the ideal hardware and software stacks to fit their individual needs. The Deep Learning Cookbook can also be used to validate the performance and tune the configuration of already purchased hardware and software stacks.


OVO to Accelerate Success of Lippo Group's Diverse Businesses through Deep Business Analytics using Kinetica and NVIDIA Technology

#artificialintelligence

Distributed, in-memory database enables correlation of customer profile, buying behaviour, sentiment and shopping trends based on cross-industry data sources in sub-seconds JAKARTA, Oct 24, 2017 - (ACN Newswire) - OVO, a member of Lippo Group Digital, has chosen Kinetica, provider of the world's fastest GPU-accelerated analytics database, and NVIDIA to spur innovation in big data and analytics that fully utilize a 360-degree customer view and derive real-time analytics and insights on shopping trends and the digital lifestyle. Lippo Group is a prominent conglomerate with significant investments in digital technologies, education, financial services, healthcare, hospitality, media, IT, telecommunications, real estate, entertainment and retail. Aggressively investing in big data and analytics technology, OVO is Lippo Group Digital's concierge platform, integrating mobile payment, loyalty points, and exclusive priority deals. With the support from Kinetica and NVIDIA, Lippo Group Digital will be the first enterprise to integrate an AI, in-memory, GPU database in Indonesia. Lippo Group Digital's investment in big data and analytics technology aims to consolidate all their customer data that are being generated by all transactional systems from various subsidiaries into a centralized analytics platform.


Increased Penetration of AI in Education Boosts Deep Learning Market - Press Release - Digital Journal

#artificialintelligence

The study analyzes how the advancements in technology and its increased penetration in the education market, institutions have begun to experience a rapid change in the teaching delivery model. Governments over the world are concentrating on building up a computerized instruction condition through gifts and subsidizes, bringing about an expansion in the money related help for instructive foundations particularly those working in developing regions. This has helped numerous foundations to adjust to current and progressed instructive techniques. The 76-paged, comprehensive report added to the Education archive offers predictions and future prospects of the industry, including market size and share on account of risk factors, market trends and opportunities, pipeline products and technological innovations. NLP is the field of software engineering, counterfeit consciousness and computational semantics that are related with the collaborations amongst PCs and human.


SAS continues to innovate, delivering AI capabilities on its modern, in-memory platform

@machinelearnbot

Analytics leader SAS is helping customers gain more value from data with SAS Viya products, extending the value from the SAS Platform. These newest advances, such as embedded artificial intelligence (AI) capabilities, will further address the needs of organisations that are making analytics core to their business. A variety of industries, countries and organisation sizes have embraced SAS Viya products. With SAS, data scientists, analysts, developers, IT, domain experts and executives can all generate data-driven insights – from the same, consistent data, fostering greater collaboration and driving innovations faster. SAS continues to deliver new capabilities, such as image recognition, deep learning and natural language understanding into the SAS Platform.


Intel plans to ship its first-generation Neural Network Processor by the end of the year

#artificialintelligence

Intel's hardware for accelerating AI computation is finally on its way to customers. The company announced today that its first-generation Neural Network Processor, code named "Lake Crest," will be rolling out to a small set of partners in the near future to help them drastically accelerate how much machine learning work they can do. The NNPs are designed to very quickly tackle the math that underpins artificial intelligence applications, specifically neural networks, a currently popular branch of machine learning. One of the big problems with the large, deep neural networks that are popular right now is that they can be very computationally intensive, which makes them harder to test and deploy rapidly. At first, the NNPs will only get released to a small number of intel partners who the company plans to begin outfitting before the end of this year.


Deep Learning - Global Market Outlook (2017-2023)

@machinelearnbot

One of the major factors that will have a positive impact on the growth of this market includes the rising usage of deep learning technology among various industries such as automotive, advertisement, medical and others. Moreover, increasing acceptance of cloud based technology, high usage of deep learning in big data analytics, high R&D expansions for enhanced processing hardware for deep learning and rising applicability in healthcare and autonomous vehicles are fueling the market growth. Moreover, the market has tremendous growth opportunity such as utilization of deep learning technology in smartphones and medical image analysis. Depending on application, data mining segment is anticipated to grow at a highest CAGR during the forecast period attributed to growing utilization of deep learning in cybersecurity and database systems and data analytics.


BCS Technology Launches Machine Learning-Based Chatbot Solution to Drive Customer Insights

@machinelearnbot

BCS Technology, a Global IT company headquartered in Australia providing end to end solutions in big data and analytics, announced the launch of their chatbot solution -- Interactive Social Airline Automated Companion (ISAAC) built on Cloudera's modern platform for machine learning and analytics optimized for the cloud -- Cloudera Enterprise. The solution combines the use of modern big data analytics technologies and natural language processing (NLP) by leveraging Microsoft's LUIS framework and the Cloudera Enterprise platform. "With Cloudera's machine learning and advanced analytics technology at the core of ISAAC, businesses can now use data to gain valuable insights, make accurate business decisions faster and deliver better products and services to enhance their customers' experiences. With the exponential growth of BCS and big data, a new subsidiary named ML Labs has formed, specialising in providing machine learning and deep learning algorithm solutions to clients looking to begin their journey through big data and analytics.


jgolebiowski/graphAttack

@machinelearnbot

The main point is to combine mathematical operation together to form a workflow of choice. The graph takes care of evaluating the gradient of all the inputs to ease up setting up the minimizer. I have aimed for the library to be simple and transparent so that it would be easy to understand and modify to fit individual needs. Currently, supports most of the useful matrix operations, the Adam stochastic minimizer as well as modules for simplified deployment of dense, convolution and recurrent (vanilla and LSTM) networks.


Artificial Intelligence, Machine Learning, and Deep Learning: A Primer for Investors @themotleyfool #stocks $GOOGL, $NVDA, $GOOG

#artificialintelligence

Instead of preprogramming software to complete a specific task, as narrow AI does, machine learning uses algorithms that allow a computer to learn from the vast amounts of data it receives so it can complete a task on its own. International Business Machines uses deep learning powered by NVIDIA's graphics processing units (GPUs) to comb through medical images to find cancer cells. The company makes the graphics processors that are integral in AI, machine learning, and deep learning, and lots of companies already look to NVIDIA's hardware to make their AI software a reality. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon, Facebook, and Nvidia.