Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts

Sunday, November 26, 2017

Amazon ML Solutions Lab Opens

Amazon Web Services is launching a program that connects machine learning experts from across Amazon with AWS customers "to help identify practical uses of machine learning inside customers’ businesses, and guide them in developing new machine learning-enabled features, products, and processes."

 The Amazon ML Solutions Lab combines hands-on educational workshops with brainstorming sessions. The idea is to help customers “work backwards from business challenges, and then go step-by-step through the process of developing machine learning-based solutions."

Machine learning workshops cover topics such as how to prepare data, build and train models, and put models into production.

https://aws.amazon.com/ml-solutions-lab


NVIDIA extends AI healthcare partnership with GE

NVIDIA is working with GE to bring the most sophisticated artificial intelligence (AI) to GE Healthcare’s 500,000 imaging devices globally.

The partnership, which was detailed at the 103rd annual meeting of the Radiological Society of North America (RSNA), includes a new NVIDIA-powered Revolution Frontier CT, advancements to the Vivid E95 4D Ultrasound and development of GE Healthcare’s Applied Intelligence analytics platform.

NVIDIA said its AI computing platform accelerates image processing in the new CT system by 2X.

NVIDIA notes that hhe average hospital generates 50 petabytes of data annually, through medical images, clinical charts and sensors, as well as operational and financial sources, providing many opportunities to accelerate data processing flows.

Tuesday, November 14, 2017

Didi Chuxing opens Silicon Valley Lab

Didi Chuxing, the leading ride sharing service in China, opened a U.S. research facility in Mountain View, California.  The offices encompass 36,000 square feet and offer capacity for more than 200 employees.

DiDi Labs, which was officially launched in March 2017, focuses on AI-based security and intelligent driving technologies.

Bob Zhang, CTO of Didi Chuxing, said at the campus opening, “It’s been an exciting year for DiDi Labs. Our talented team is growing fast and making important contributions across our key tech areas, from smart-city transportation management, AI ride-matching, to security and new product innovation. ”

Didi Chuxing now has over 450 million users and is handling over 25 million daily rides.

DiDi acquired Uber China in August 2016.

Thursday, October 12, 2017

AWS and Microsoft collaborate on deep learning library

Amazon Web Services (AWS) and Microsoft announced a new deep learning library, called Gluon,for prototyping, building, training and deploying sophisticated machine learning models for the cloud, devices at the edge and mobile apps.

"The potential of machine learning can only be realized if it is accessible to all developers. Today’s reality is that building and training machine learning models requires a great deal of heavy lifting and specialized expertise,” said Swami Sivasubramanian, VP of Amazon AI. “We created the Gluon interface so building neural networks and training models can be as easy as building an app. We look forward to our collaboration with Microsoft on continuing to evolve the Gluon interface for developers interested in making machine learning easier to use.”

“We believe it is important for the industry to work together and pool resources to build technology that benefits the broader community,” said Eric Boyd, Corporate Vice President of Microsoft AI and Research. “This is why Microsoft has collaborated with AWS to create the Gluon interface and enable an open AI ecosystem where developers have freedom of choice. Machine learning has the ability to transform the way we work, interact and communicate. To make this happen we need to put the right tools in the right hands, and the Gluon interface is a step in this direction.”

Key facts on the Gluon interface:

  • Provides an easy-to-understand programming interface that enables developers to quickly prototype and experiment with neural network models
  • Can be used to create neural networks on the fly, and to change their size and shape dynamically. 
  • Currently works with Apache MXNet and will support Microsoft Cognitive Toolkit (CNTK) in an upcoming release
  • Can be used to build machine learning models using a simple Python API and a range of pre-built, optimized neural network components. 


https://github.com/gluon-api/gluon-api/.

Tuesday, October 10, 2017

Intel joins Open Neural Network Exchange

Intel has joined the Open Neural Network Exchange (ONNX), which was first announced last month by Microsoft and Facebook to give users more choice in AI frameworks.

Currently, the ONNX format is supported by Microsoft Cognitive Toolkit, Caffe2 and PyTorch. Microsoft’s FPGA-based Project Brainwave will also support ONNX.

Intel said it is participating in the project to provide greater flexibility to the developer community by giving access to the most suitable tools for each unique AI project and the ability to easily switch between frameworks and tools.
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Monday, September 18, 2017

Intel Capital's AI Investments top $1 billion

Intel Capital has now invested over $1 billion in companies devoted to the advancement of artificial intelligence.

In a blog post, Intel's CEO Brian Krzanich said the company is fully committed to making its silicon the "platform of choice" for AI developers. Key areas of AI development inside Intel include:

  • Intel Xeon Scalable family of processors for evolving AI workloads. Intel also offers purpose-built silicon for deep learning training, code-named “Lake Crest”
  • Intel Mobileye vision technologies for specialized use cases such as active safety and autonomous driving
  • Intel FPGAs, which can serve as programmable accelerators for deep learning inference
  • Intel Movidius low-power vision technology, which provides machine learning at the edge.



Intel Nervana Aims for AI

Intel introduced its "Nervana" platform and outlined its broad for artificial intelligence (AI), encompassing a range of new products, technologies and investments from the edge to the data center.

Intel currently powers 97 percent of data center servers running AI workloads on its existing Intel Xeon processors and Intel Xeon Phi processors, along with more workload-optimized accelerators, including FPGAs (field-programmable gate arrays).

Intel said the breakthrough technology acquired from Nervana earlier this summer will be integrated into its product roadmap. Intel will test first silicon (code-named “Lake Crest”) in the first half of 2017 and will make it available to key customers later in the year. In addition, Intel announced a new product (code-named “Knights Crest”) on the roadmap that tightly integrates best-in-class Intel Xeon processors with the technology from Nervana. Lake Crest is optimized specifically for neural networks to deliver the highest performance for deep learning and offers unp

Saturday, September 9, 2017

IBM and MIT to open Artificial Intelligence lab

IBM announced a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT.

The MIT–IBM Watson AI Lab aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society.

The lab will be co-chaired by IBM Research VP of AI and IBM Q, Dario Gil, and Anantha P. Chandrakasan, dean of MIT’s School of Engineering.

"The field of artificial intelligence has experienced incredible growth and progress over the past decade. Yet today’s AI systems, as remarkable as they are, will require new innovations to tackle increasingly difficult real-world problems to improve our work and lives,” said Dr. John Kelly III, IBM senior vice president, Cognitive Solutions and Research. “The extremely broad and deep technical capabilities and talent at MIT and IBM are unmatched, and will lead the field of AI for at least the next decade."

“I am delighted by this new collaboration,” says MIT President L. Rafael Reif. “True breakthroughs are often the result of fresh thinking inspired by new kinds of research teams. The combined MIT and IBM talent dedicated to this new effort will bring formidable power to a field with staggering potential to advance knowledge and help solve important challenges.”

http://www-03.ibm.com/press/us/en/pressrelease/53091.wss

Thursday, September 7, 2017

John Deere acquires Blue River Technology for AI

Deere & Company has acquired Blue River Technology, a start-up based in Sunnyvale, California that is applying machine learning to agriculture. The deal was valued at $305 million.

Blue River is developing computer vision and machine learning technology that will enable growers to reduce the use of herbicides by spraying only where weeds are present, optimizing the use of inputs in farming – a key objective of precision agriculture.

"We welcome the opportunity to work with a Blue River Technology team that is highly skilled and intensely dedicated to rapidly advancing the implementation of machine learning in agriculture," said John May, President, Agricultural Solutions, and Chief Information Officer at Deere. "As a leader in precision agriculture, John Deere recognizes the importance of technology to our customers. Machine learning is an important capability for Deere's future."

"Blue River is advancing precision agriculture by moving farm management decisions from the field level to the plant level," said Jorge Heraud, co-founder and CEO of Blue River Technology. "We are using computer vision, robotics, and machine learning to help smart machines detect, identify, and make management decisions about every single plant in the field."

http://www.JohnDeere.com
http://www.BlueRiverTechnology.com

  • Investors in Blue River included Khosla Ventures, Pontifax ATech. Innovation Endeavors, and Data Collective Venture Capital.


Thursday, May 11, 2017

Cisco to Acquire MindMeld for AI Expertise

Cisco agreed to acquire MindMeld, a start-up based in San Franciso that is developing a conversational platform based on natural language understanding (NLU). The deal was valued at $125 million in cash and assumed equity awards. The acquisition is expected to close in Cisco's fourth quarter of fiscal year 2017.

The MindMeld platform can be used for building intelligent conversational interfaces for companies to interact with their customers across almost any device or application. MindMeld is able to ingest customer data and create a highly accurate and customized natural language model, tailored to each company’s industry and requirements. MindMeld also delivers a dialog manager that enables a computer to respond to user requests through chat and voice applications in a human-like fashion.

MindMeld was founded in 2011 by Tim Tuttle, a former AI researcher from MIT and Bell Labs,

http://www.mindmeld.com

Sunday, February 26, 2017

Telefónica Builds AI Virtual Assistant for Managing Services

At the kickoff to Mobile World Congress 2017, Telefónica’s introduced AURA, a virtual assistant that uses artificial intelligence and cognitive capabilities to allow its consumer customers to know, manage, and control their digital lives with the company.

Telefónica’s Chairman and CEO, José María Álvarez-Pallete said the new platform and voice application, which sounds like Apple's Siri, will transform the interaction between customers and service providers.

For example, customers will be able to ask questions about the products and services they use; create and track a claim; manage and unblock device access to the Wi-Fi router provided by Telefónica; get information about their favourite shows and program their recording; or be alerted when their data consumption is greater than usual. Each user will have a “personal data space”, the memory which will store the digital trace they leave when using Telefónica products and services, and which will allow the customers, if they so desire, to personalize their experience. AURA will also be able to make recommendations about offers of products and services that best adapt to the needs of the user, the contents that adapt to their preferences, the installation of security, or the detection of fraudulent apps.

“Cognitive intelligence will allow us to understand our customers better, so they can then relate to us in a more natural and easy way, and generate a new relationship of trust with them based on transparency and the control of their data”, stated Álvarez-Pallete, during the presentation event. “We are pioneers in this relationship model. Never before have the users of telecommunications services been able to talk with the networks in real time. We’re expanding the relationship with our customers, seeking to increase their satisfaction, and opening new possibilities for them so that they can enrich their digital lives with us”.

Facebook, Microsoft, and UNICEF also participated in the presentation.

http://www.telefonica.com

Sunday, February 5, 2017

IBM Watson Takes on Tax Preparation with H&R Block

IBM is working with H&R Block to apply Watson's analytical intelligence to a consumer-facing tax preparation service.

IBM Watson technology will be used by H&R Block’s tax professionals this tax season to help deliver the best outcome for each unique tax situation, while helping clients better understand how different filing options can impact their tax outcome. As part of the first phase of the collaboration, H&R Block and IBM development teams trained Watson in the language of tax, first applying the technology to the thousands of questions and topics discussed during the return filing process.

IBM said Watson is a good match because the field of tax preparation involves massive volumes of data, including a federal tax code with more than 74,000 pages and thousands of yearly tax law changes, all of which impact a client’s tax outcome.

“IBM has shown how complex, data-rich industries such as healthcare, retail and education are being transformed through the use of Watson. Now with H&R Block, we’re applying the power of cognitive computing in an entirely new way that everyone can relate to and benefit from – the tax prep process,” said David Kenny, senior vice president, IBM Watson and Cloud Platform.

http://www-03.ibm.com/press/us/en/pressrelease/51505.wss

Wednesday, February 1, 2017

What is AT&T's Indigo?



What is AT&T's Indigo?

Indigo is the convergence of software-defined networking, artificial intelligence, 5G and other new access technologies, says Steve McGaw, Chief Marketing Officer for AT&T Business Solutions.

First unveiled in January 2017 at the AT&T Developer Summit, Indigo is a "Network 3.0" initiative to create a trusted environment where organizations can share data and collaborate on analytics.

See video:  https://youtu.be/vTDKfaqQrL8


Tuesday, January 10, 2017

Mellanox Supplies Ethernet Switches/Adapters for Baidu's Machine Learning

Baidu, the leading Chinese Internet search engine, has selected Mellanox Technologies' Spectrum Ethernet switches and ConnectX-4 100Gb/s Ethernet adapters of the Baidu Machine Learning platform.  The Spectrum switches and RDMA-enabled ConnectX-4 adapters enable efficient data movement placed for machine learning. Mellanox said its solutions enabled Baidu to demonstrate a 200 percent improvement in machine learning training times, resulting in faster decision making.

“We are pleased to continue working with Mellanox to enable the most efficient platforms for our applications,” said Mr. Liu Ning, system department deputy director at Baidu. “Mellanox Ethernet solutions with RDMA allow us to fully leverage our Machine Learning platform and work with various machine models while saving valuable CPU cycles and associated computing costs.”

“Machine Learning has become a critical predictive and computational tool for many businesses worldwide,” said Amir Prescher, senior vice president business development, Mellanox Technologies. “Working with Baidu, the premiere internet search provider in China, has enabled Mellanox to showcase the advantages and cost effectiveness of our Spectrum switches and ConnectX-4 100Gb/s adapters solutions to enable the most efficient machine learning platforms.”

http://www.mellanox.com/page/press_release_item?id=1837

driver support for ConnectX-4 Ethernet and RoCE (RDMA over Converged Ethernet) on the VMware vSphere virtualization platform.

The new vSphere software for ConnectX-4 delivers three critical new capabilities; increased Ethernet network speeds at 25/50 and 100 Gb/s, virtualized application communication over RoCE, and advanced network virtualization and SDN (Software Defined Networking) acceleration 

Tuesday, December 13, 2016

IEEE Focuses on Ethics for AI and Autonomous Systems

IEEE announced the publication of the first version of Ethically Aligned Design: A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous Systems.

The document that encourages technologists to prioritize ethical considerations in the creation of autonomous and intelligent technologies. A key tenet is that AI systems must be aligned to human values and ethical principals.

Contributors to the document include over one hundred global thought leaders and experts in artificial intelligence, ethics, and related issues.

“As we move towards a more fully autonomous world, the first version of Ethically Aligned Design represents a milestone for creating consensus around and developing the methodologies that will ensure humanity utilizes technology that inherently supports and prioritizes our wellbeing and values,” says Konstantinos Karachalios, managing director for IEEE Standard Association. “By providing technologists with peer-driven, practical recommendations for creating ethically aligned autonomous and intelligent products, services, and systems, we can move beyond the fears associated with these technologies and bring valued benefits to humanity today and for the future.”

Version One of Ethically Aligned Design is being released under the Attribution-NonCommercial version of the Creative Commons license for any organization to adopt or utilize, thereby helping expedite ethical considerations in the creation of autonomous and intelligent technologies.

http://standards.ieee.org/develop/indconn/ec/autonomous_systems.html

Tuesday, November 22, 2016

Baidu Opens Chinese language APIs for Key Speech Technologies

Baidu, , China's leading search engine, is making available Chinese language APIs for its four key speech technologies: Long Utterance Speech Recognition, Far-Field Speech Recognition, Expressive Speech Synthesis and Wake Word.

Baidu said its intent is to provide developers with access to its AI-based technologies. Baidu has also released API for facial recognition, optical character recognition, natural language processing and others. In September, the company also open sourced its deep learning framework PaddlePaddle, an easy-to-use platform allowing developers to apply deep learning to their products and services.

"We are at the dawn of the AI era. By opening our AI technologies, we will make it easier for everyone to create AI-enabled applications," says Andrew Ng, chief scientist of Baidu.

In just three years, the daily requests for speech recognition grew from 5 million in 2013 to 140 million this year, and the number of daily requests for speech synthesis stands today at 200 million. In the meantime, the number of developers using Baidu's speech system has also grown from 10,000 in 2014 to 140,000 this year.

http://www.baidu.com/

Wednesday, October 5, 2016

Samsung to Acquire Viv for AI Platform

Samsung Electronics Co. agreed to acquire Viv Labs, a start-up developing an artificial intelligence platform designed to be "the intelligent interface to everything." Financial terms were not disclosed.

Viv's AI platform will give third-party developers the power to use and build conversational assistants and integrate a natural language-based interface into renowned applications and services. The company said its strengths include a sophisticated natural language understanding, machine learning capabilities and strategic partnerships.

Viv was founded by AI visionaries Dag Kittlaus, Adam Cheyer and Chris Brigham. As part of the acquisition, the founding team will work closely with Samsung’s Mobile Communications business, but continue to operate independently under its existing leadership.

“Unlike other existing AI-based services, Viv has a sophisticated natural language understanding, machine learning capabilities and strategic partnerships that will enrich a broader service ecosystem,” said Injong Rhee, CTO of the Mobile Communications business at Samsung Electronics. “Viv was built with both consumers and developers in mind. This dual focus is also what attracted us to Viv as an ideal candidate to integrate with Samsung home appliances, wearables and more, as the paradigm of how we interact with technology shifts to intelligent interfaces and voice control.”

http://www.samsunggic.com
http://www.viv.ai

Monday, September 19, 2016

Salesforce Embeds AI in its CRM Platform

Salesforce unveiled "Einstein" -- its artificial intelligence initiative for delivering more predictive and personalized customer experiences across its CRM platform.

The company plans to embed Einstein AI capabilities will be embedded across every Salesforce Cloud. The ideal is to leverage all the data in Salesforce—customer data; activity data from Chatter, email, calendar and ecommerce; social data streams such as tweets and images; and even IoT signals—to train predictive models.

The AI is powered by advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery.  Salesforce said its AI allow models to be automatically customized for every single customer, with Einstein automatically discovering relevant insights, predicting future behavior, proactively recommending best next actions and even automating tasks.

One outcome is Predictive Lead Scoring, which aims to help sales reps focus on closing the best leads.

“With Salesforce Einstein, we are delivering the world's smartest CRM," said Marc Benioff, chairman and CEO, Salesforce. "Einstein is now every customer’s data scientist, making it easy for everyone to take advantage of best-in-class AI capabilities in the context of their business.”

http://sforce.co/2d0LYd7

Tuesday, September 13, 2016

NVIDIA Advances its Pascal-based GPUs for AI

NVIDIA is expanding its Pascal™ architecture-based deep learning platform with the introduction of new Tesla P4 and P40 GPU accelerators and new software. The solution is aimed at accelerating inferencing production workloads for artificial intelligence services, such as voice-activated assistance, email spam filters, and movie and product recommendation engines.

NVIDIA said its GPU are better at these tasks than current CPU-based technology, which isn't capable of delivering real-time responsiveness. The Tesla P4 and P40 are specifically designed for inferencing, which uses trained deep neural networks to recognize speech, images or text in response to queries from users and devices.

Based on the Pascal architecture, these GPUs feature specialized inference instructions based on 8-bit (INT8) operations, delivering 45x faster response than CPUs and a 4x improvement over GPU solutions launched less than a year ago.

With 47 tera-operations per second (TOPS) of inference performance with INT8 instructions, a server with eight Tesla P40 accelerators can replace the performance of more than 140 CPU servers.5 At approximately $5,000 per CPU server, this results in savings of more than $650,000 in server acquisition cost.

"With the Tesla P100 and now Tesla P4 and P40, NVIDIA offers the only end-to-end deep learning platform for the data center, unlocking the enormous power of AI for a broad range of industries," said Ian Buck, general manager of accelerated computing at NVIDIA. "They slash training time from days to hours. They enable insight to be extracted instantly. And they produce real-time responses for consumers from AI-powered services."

http://nvidianews.nvidia.com

Sunday, August 28, 2016

IBM Cloud Data Center Inaugurated in Korea

IBM opened a new Cloud Data Center in Korea in collaboration with SK Holdings C&C.

The new facility, which is located outside of Seoul in Pangyo, is IBM’s ninth Cloud Data Center in the Asia-Pacific region, and part of the company’s growing global network of 47 Cloud Data Centers.

“A key part of our cloud strategy is to fuel new ecosystems to spur innovation and collaborate with companies who understand the local market.” said Robert LeBlanc, senior vice president, IBM Cloud.  “That’s why we chose to partner with SK Holdings C&C in Korea. Together, we are able to bring the local expertise, platform and data services that gives Korean customers the ability to compete on a global scale.”

“Companies all over the world are seeking for new business and profit opportunity throughout digital transformation,” said Jung-ho Park, CEO of SK Holdings C&C. “The new Cloud Data Center provides one-stop cloud converting service of existing IT system and infrastructure, and become the base camp to support digital innovation for customers’ businesses by converging digital technologies such as IoT, Big data and AI.”
Growing the Cloud Ecosystem in Korea

The companies said the new data center will further accelerate their commitment to cognitive and Artificial Intelligence (AI) technologies, as they plan to support local startups and IT developers to create cognitive apps and industry-specific services that leverage Watson. Developers in Korea will also have access to Bluemix, IBM’s Cloud platform, and more than 150 APIs and services spanning key areas such as cognitive, blockchain, Internet of Things and big data.

https://www-03.ibm.com/press/us/en/pressrelease/50401.wss

Tuesday, August 9, 2016

Intel to Acquire Nervana for AI

Intel agreed to acquire Nervana Systems, a start-up based in San Diego, California, for their work in machine learning. Financial terms were not disclosed.

Nervana, which was founded in 2014, developed a software and hardware stack for deep learning.

Intel said the Nervana technology would help optimize the Intel Math Kernel Library and its integration into industry standard frameworks, advancing the deep learning performance and TCO of the Intel Xeon and Intel Xeon Phi processors.

http://www.intel.com

Nervana is headed by Naveen Rao.

See also