Seminar for High Performance Computing, Networking, Storage & Analysis

SC17 Conference for High Performance Computing, Networking, Storage & & Analysis
Days: November 12– 17, 2017 Area: Denver, Colorado

The International Conference for High Performance Computing, Networking, Storage and also Analysis

Unlike at any time in background, HPC is enabling us to evaluate hills of information to show lengthy standing concepts regarding our world, our environment, our health and wellness, as well as our rate of interests in several various other research study domain names. Locations of the globe currently have accessibility to brand-new products that aid to decrease environment modification … Coastal cities are left prior to typhoons assert lives … New accuracy medication strategies bring brand-new intend to our buddies and also family members … Humanity is linked as never ever prior to with these explorations. HPC combines the computer systems and also dazzling minds in this quest for a much better globe as well as our location in the universes.

SC17 will certainly once more combine the worldwide high efficiency computer neighborhood– an event of researchers, designers, scientists, teachers, developers, system managers and also programmers that is unparalleled worldwide– for a remarkable program of technological discussions, documents, useful tutorials, prompt research study posters as well as Birds-of-a-Feather (BoF) sessions. The SC17 Exhibition Hall will certainly showcase the current innovations as well as success from the globe’s leading suppliers, study companies and also colleges; SC17 offers the one-of-a-kind possibility to see the most up to date modern technologies that will certainly form the future of large technological computer and also data-driven scientific research.

In 2017, SC is going back to vibrant Denver, Colorado. Understood as the Mile High City, Denver takes pleasure in 300 days of sunlight each year and also provides a plethora of gorgeous sights, eating as well as task alternatives in the pedestrian-friendly city facility near the Denver Convention.

Going to SC is a vital component of any kind of HPC expert’s yearly advancement, and also the SC meeting collection is devoted to making certain that all that want to take component are able to do so. We are happy to reveal that when again SC17 will certainly supply onsite child care throughout the meeting.

HPC brings with each other the computer systems as well as great minds in this quest for a much better globe and also our location in the universes.

Going to SC is an essential component of any kind of HPC expert’s yearly advancement, and also the SC seminar collection is dedicated to making sure that all that want to take component are able to do so. We are honored to introduce that as soon as again SC17 will certainly offer onsite child care throughout the seminar.

New leadership for MIT-IBM Watson AI Lab

Antonio Torralba has been named MIT director of the MIT-IBM Watson AI Lab effective immediately, announced Anantha Chandrakasan, dean of the MIT School of Engineering, today.

An expert in computer vision, machine learning, and human visual perception, Torralba is a professor in the Department of Electrical Engineering and Computer Science and a principal investigator at the Computer Science and Artificial Intelligence Laboratory. His projects span a wide range — from investigating object recognition and scene understanding in pictures and movies, to studying the inner workings of deep neural networks, to building models of human vision and cognition, to the development of applications and systems such as Pic2Recipe that can look at a photo of food, predict the ingredients, and suggest similar recipes. He is also an enthusiastic investigator of the intersections between visual art and computation.

“As the inaugural MIT director of our collaboration with IBM, Antonio will closely collaborate with IBM leadership and lab researchers to design and implement the lab’s ambitious research agenda,” said Chandrakasan, who is also the Vannevar Bush Professor of Electrical Engineering and Computer Science. “He is an accomplished scholar and a creative thinker with deep experience and a broad range of research interests in AI. I look forward to working with Antonio as we shape this exciting endeavor.”

Torralba is an associate editor of the International Journal in Computer Vision and served as program chair for the Computer Vision and Pattern Recognition conference in 2015. He received the 2008 National Science Foundation Career award, the best student paper award at the IEEE Conference on Computer Vision and Pattern Recognition in 2009, and the 2010 J.K. Aggarwal Prize from the International Association for Pattern Recognition. In 2017, he received the Frank Quick Faculty Research Innovation Fellowship and the Louis D. Smullin (’39) Award for Teaching Excellence. He earned a degree in telecommunications engineering from Telecom BCN in Spain, in 1994, and his PhD in signal, image, and speech processing from the National Polytechnic Institute of Grenoble in France, in 2000.   

“I am delighted by the appointment of Antonio Torralba as MIT director of the MIT-IBM Watson AI Lab,” said Dario Gil, vice president of AI and IBM Q at IBM Research, who, along with Chandrakasan, oversees the MIT-IBM collaboration. “He brings a unique combination of deep technical excellence, intellectual curiosity, and enthusiasm — which I hope become hallmarks of our collaboration. I look forward to working closely with Antonio and the joint teams across MIT and IBM to kick off what I know will be a tremendously successful collaboration.”

Torralba and the IBM director will lead the MIT-IBM Watson AI Lab, a $240 million investment by IBM in AI efforts over the next 10 years, with $90 million dedicated to supporting MIT research. They will co-chair a committee comprised of equal numbers of MIT faculty and IBM researchers. This committee will review and select proposals for funding and provide strategic direction to the lab. The initial areas of joint research between MIT and IBM will be core AI algorithms, the physics of AI, the application of AI to industries, and advancing shared prosperity through AI.   

Torralba and IBM are moving quickly to engage with researchers from MIT and IBM to get the lab’s first round of research projects initiated and underway. They have established a series of upcoming events through which MIT principal investigators and IBM research staff can meet, learn more about the lab, and discuss opportunities for collaboration. 

For more information, visit mitibmwatsonailab.mit.edu.

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Blood Gas and Electrolytes Market: A Straight Overview of Growth Factors and Future Prospects 2017 – 2025

According to the latest report published by Credence Research, Inc. “Blood Gas and Electrolytes Market(Product Type: Benchtop Analyzers, Portable Analyzers and Consumables; Applications: Blood Gas Analysis, Blood Electrolyte Analysis and Hybrid Testing; Usage Area: Hospital Laboratories and Point-of-Care Testing ): Growth, Future Prospects and Competitive Analysis, 2017-2025,” the global blood gas and electrolytes analyzers market was valued at US$ 532.9 Mn in 2016, and is expected to reach US$ 791.7 Mn by 2025, expanding at a CAGR of 4.4% from 2017 to 2025.

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Browse the full report Blood Gas and Electrolytes Analyzers Market: Growth, Future Prospects and Competitive Analysis, 2017-2025 report at http://www.credenceresearch.com/report/blood-gas-and-electrolytes-analyzers-market

Market Insights

The blood gas and electrolytes analyzers market is characterized by perpetual product improvements and innovations, which has become a key factor contributing to the growth of this market. Technological advancements in the nature of analyzers has led to development of innovative devices such as evolution from benchtop analyzers to the current availability of portable point-of-care devices. The modern point-of-care devices offer rapid arterial blood gas analysis at the patient location at the shortest turnaround time. The requirement for augmented test menus is further integrating functionalities of both blood electrolyte and blood gas analysis in order to offer multiple testing of creatinine, electrolytes, bilirubin, nitrogen, etc. from a single sample.

Growing number of patients in need of critical care and high demand for blood gas testing, and increasing demand for point-of-care testing in the light of containing healthcare expenditure are some of the key driving factors allowing growth of the blood gas and electrolytes analyzers market. Between benchtop and portable analyzers, the later segment is observed to be the fastest growing segment due to augmented demand for portable multi-parameter monitoring systems, rise in geriatric population, miniaturization of devices and convenience in use are the key growth facilitators to this segment.

Between hospitals laboratories and point-of-care locations, hospitals currently have the largest market share in the global blood gas and electrolytes analyzers market. Need for performing large volume of diagnostics being performed in central laboratories and is the key growth driver for this segment. On the other hand, point-of-care testing is anticipated to progress at the fastest growth rate during the forecast period on the ground of growing urge to minimize hospital stays in order to attain optimum treatment cost containment and reduce overall healthcare expenditure. In addition, among the application types, hybrid blood gas and electrolytes analyzes experience the highest demand across all usage areas and regions. The segment is also expected to experience faster growth rate that solo blood gas analyzers and blood electrolytes analyzers.

Based on geographical distribution, North America (comprising the U.S. and Canada) is the largest regional market for blood gas and electrolytes analyzers. Presence of evolved healthcare infrastructure, better awareness in both patients and care givers, high government funding and favorable reimbursement system are the key drivers allowing the dominance of North America in the market. Additionally, Asia Pacific is observed to the fastest progressing regional market for blood gas and electrolytes analyzers during the forecast period. Presence of high unmet needs, rapid improvement of healthcare infrastructure and rising healthcare expenditure majorly support the growth of this region.

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10 Biggest Cyber Crimes And Data Breaches

why-artificial-intelligence.com

   

Infographic Recap: 10 Biggest Cyber Crimes And Data Breaches

 

You may not think you’re at risk of a cyber-attack, but in today’s digital world, it’s a huge problem. Hackers can learn anything about you by stealing data, such as social security numbers, computer passwords, credit card information, health care data, bank account information, and more. According to an IBM study, as reported by CBS, approximately 1.5 million cyber-attacks occur annually. That’s three attacks per minute!

Businesses are at a huge risk of attack. If a hacker can get ahold of their customer data files, they can easily get their hands on hundreds or thousands of people’s data in one go. Depending on the data they’ve stolen, they can use the information to steal identities, access personal finance accounts, get ahold of trade secrets, and more. Despite 32 percent of organizations being affected by cybercrime, almost half don’t think they need an incident response plan in place according to PwC. That’s because many of them-44 percent according to UK research—don’t believe they’ll be targeted.

Anyone, whether they’re an individual or a business organization, is at risk of becoming victim to a cyber-attack. These attacks work in many ways. Hackers can get ahold of your information through computer viruses, phishing scams, denial-of-service attacks, and even in-person scams where hackers access your on-site computer or company servers. All of these methods can be used to target a large company or a single individuals.

What’s even more frightening is that cybercrime is on the rise. The global cost of cybercrime was around $500 billion in 2015. That figure is expected to rise to $2 trillion by 2019, says Juniper Research. The average cost of a single data breech will hit $150 million by 2020.

If you don’t think you’re at risk of a cyber-attack, think again. Some of the biggest companies with the largest set of resources have been hit hard by cyber criminals. The infographic below highlights the top 10 cybercrimes and data breaches that have been reported to date, chosen based on either size or significance. These attacks include everything from stealing credit card data to social security numbers, birthdates, health data, and more from big companies like Yahoo, Home Depot, Google, and even government agencies like the IRS. It just goes to show that anyone holding sensitive customer data is at risk and that it takes very careful measures to mitigate your risk of a breech.

Get the details of these top 10 massive breaches below. This infographic is made by TheBestVPN.com team.

TheBestVPN - infographic


 

In 10 Minutes, I’ll Give You The Truth About Artificial intelligence

Facebook’s New Device Is Aiding Scientist Build AI We Could Have Meaningful Conversations

Apple’s Siri and also various other rivals like the Google Aide, Microsoft’s Cortana, as well as Amazon.com’s Alexa have actually been around for some time, enough time for us to obtain made use of to them. As well as though we could utilize them on as well as off, speaking to our smart devices to achieve jobs isn’t really silky smooth right now. Facebook wishes to throw down the gauntlet, and also the social titan has a gameplan in position.

” Fixing dialog stays a lasting difficulty for AI, as well as any kind of progression towards that objective will likely have temporary advantages in regards to items that we could construct today or the advancement of modern technologies that can be helpful in various other locations,” the business claimed in an article.

Just what the social media is trying in order to help develop with its brand-new system is an AI with the ability of integrating both. The suggestion is to establish a chatbot that could not just remember your choices with time, yet likewise utilize them in purposeful discussions constructively, rather than equally as context.

ParlAI isn’t really for small-time programmers nonetheless; it’s targeted at sophisticated research study in the area. Naturally, several of that shared understanding will certainly additionally at some point makes its means right into Facebook’s items with time also.

The conversational AI from Her
A STILL FROM THE FLICK HER, SHOWCASING A GENUINELY CONVERSATIONAL VOICE-BASED AI
Inning accordance with Facebook, there presently exist 2 primary sorts of conversational AI– those like Siri and also Google Aide that you speak with in order to offer it directions, and also others that offer no function apart from enjoyment.

As it stands today, electronic aides are sterilized, doing not have an actual character apart from the jokes tough coded right into them. So Facebook today introduced a brand-new research study device it’s been collaborating with, to assist AI designers construct devices be a lot more with the ability of holding a lucid, organized discussion with people.

” ParlAI is a system we wish will certainly combine the neighborhood of scientists dealing with AI representatives that carry out dialog and also proceed pressing the modern in dialog study.”

Called ParlAI (obvious “par-lay”), the social media sites network defines it as a “one-stop purchase dialog study.” Not just does it give AI programmers and also scientists with a training as well as screening structure for their chatbots, it additionally serves as a database for them to share their approaches with various other programmers, speeding up along our study right into practical AI. Furthermore, the system linkeds into Amazon.com’s Mechanical Turk, to give programmers with accessibility to work with human beings to engage with, examination, as well as remedy their chatbots, an important component of the understanding procedure

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Next Generation Sequencing Market:

According to the latest report published by Credence Research, Inc. “Next Generation Sequencing Market – (Technology Type – Whole Genome Sequencing, Targeted Resequencing, RNA Sequencing, Whole Exome Sequencing, and De Novo Sequencing); (Application – Oncology, Genetic Screening, Infectious Diseases, Drug and Biomarker Discovery, Agriculture & Animal Research, Idiopathic Diseases and others): Market Growth, Future Prospects and Competitive Analysis, 2016-2024” the market was valued at USD 2.6 Bn in 2015, and is expected to reach USD 20.6 Bn by 2025, expanding at a CAGR of 21.5% from 2016 to 2025.

Browse the full report Next Generation Sequencing Market – Growth, Future Prospects and Competitive Analysis, 2016-2025 report at http://www.credenceresearch.com/report/next-generation-sequencing-market

Market Insights

Next generation sequencing is a high-throughput sequencing that enables sequencing and assembling of number of short DNA reads at a small period of time and with a better accuracy. The introduction of next generation sequencing technologies has ensured massive changes in the sequencing process by providing better output, higher speed, flexibility and reduced sequencing cost over thousand folds. Technologically, the approaches for any next generation sequencing procedure can be categorized into whole genome sequencing, targeted resequencing, Rna sequencing, whole exome sequencing and de novo sequencing. With the advancement in technology and development of high throughput sequencing platforms such as HiSeq and MiSeq, it has become increasingly efficient to sequence larger number of base pairs in single cycle reads. Targeted resquencing held the largest share in the global next generation sequencing market due to its accuracy, and its rising preferences in the research and development. De novo sequencing is anticipated to grow at the fastest rate during the forecast period due to its faster, more accurate characterization of any species compared to traditional methods.

Next-generation sequencing (NGS) technologies have progressive advantages in terms of cost-effectiveness, unprecedented sequencing speed, high resolution and accuracy in genomic analyses. Technological developments in the next generation sequencing market are expected to enable researchers to generate phase resolved HLA sequences in single read cycles and provide insight into the lesser accessible regions of HLA genes. Furthermore, the development of prenatal genome sequencing for analysis of genetic anomalies and diseases is also expected to witness enhanced demand, thus driving the genetic screening market. Growing incidences of cancer and infectious diseases, and increasing use of next generation sequencing to develop biopharmaceuticals and drugs for their cure are further expected to drive demand for next generation sequencing.

Geographically, North America was observed as the largest revenue generating market for next generation sequencing market, where the U.S. held the largest market share. The major factors driving the market are technological advancements in the field of life sciences, availability of commercial solutions for next generation sequencing data analysis, and presence of key players in the region. Moreover, extended support from the government institution for genomic research for drug discovery and genetic screening is also driving the market for next generation sequencing in North America and Europe. Asia-Pacific is expected to grow at the fastest rate with throughout the forecast period owing to growing medical awareness in the regional population, increasing investment for development of healthcare and rising oncology and infectious disease research in the region.

Market Competition Assessment:

The next generation sequencing market currently possesses numerous companies having their products marketed, however, Illumina, Inc. dominates the market wholly. Most of the companies are located in the North America and others developed regions. The companies have untapped opportunities in the developing regions of Asia Pacific and Latin America. Companies are coming up with various products in the developed nations due to high acceptance and accessibilities of these products. The companies include, ThermoFisher Scientific, Pacific Biosciences of California, F.Hoffman-La Roche AG Qiagen, BGI and Others.

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Key Market Movements:

  • Continuous introduction of new products and high level of accuracy offered by the products have accelerated the demand of next generation sequencers
  • Extended clinical application of the next generation sequencing technologies in the field of various diseases and drug discovery driving the market

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2How To Get (A) Fabulous Artificial intelligence On A Tight Budget

Identifying optimal product prices

How can online businesses leverage vast historical data, computational power, and sophisticated machine-learning techniques to quickly analyze and forecast demand, and to optimize pricing and increase revenue?

A research highlight article in the Fall 2017 issue of MIT Sloan Management Review by MIT Professor David Simchi-Levi describes new insights into demand forecasting and price optimization.

Algorithm increases revenue by 10 percent in six months

Simchi-Levi developed a machine-learning algorithm, which won the INFORMS Revenue Management and Pricing Section Practice Award, and first implemented it at online retailer Rue La La.

The initial research goal was to reduce inventory, but what the company ended up with was “a cutting-edge, demand-shaping application that has a tremendous impact on the retailer’s bottom line,” Simchi-Levi says.

Rue La La’s big challenge was pricing on items that have never been sold before and therefore required a pricing algorithm that could set higher prices for some first-time items and lower prices for others.

Within six months of implementing the algorithm, it increased Rue La La’s revenue by 10 percent.

Forecast, learn, optimize

Simchi-Levi’s process involves three steps for generating better price predictions:

The first step involves matching products with similar characteristics to the products to be optimized. A relationship between demand and price is then predicted with the help of a machine-learning algorithm.

The second step requires testing a price against actual sales, and adjusting the product’s pricing curve to match real-life results.  

In the third and final step, a new curve is applied to help optimize pricing across many products and time periods.

Predicting consumer demand at Groupon

Groupon has a huge product portfolio and launches thousands of new deals every day, offering them for only a short time period. Since Groupon has such a short sales period, predicting demand was a big problem and forecasting near impossible.

Applying Simchi-Levi’s approach to this use case began by generating multiple demand functions. By then applying a test price and observing customers’ decisions, insights were gleaned on how much was sold — information that could identify the demand function closest to the level of sales at the learning price. This was the final demand-price function used, and it was used as the basis for optimizing price during the optimization period.

Analysis of the results from the field experiment showed that this new approach increased Groupon’s revenue by about 21 percent but had a much bigger impact on low-volume deals. For deals with fewer bookings per day than the median, the average increase in revenue was 116 percent, while revenue increased only 14 percent for deals with more bookings per day than the median.

Potential to disrupt consumer banking and insurance

The ability to automate pricing enables companies to optimize pricing for more products than most organizations currently find possible. This method has also been used for a bricks-and-mortar application by applying the method to a company’s promotion and pricing, in various retail channels, with similar results.

“I am very pleased that our pricing algorithm can achieve such positive results in a short timeframe,” Simchi-Levi says. “We expect that this method will soon be used not only in retail but also in the consumer banking industry. Indeed, my team at MIT has developed related methods that have recently been applied in the airline and insurance industries.”

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