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Displaying articles for: March 2014

HP Location Aware - featuring HP Labs’ indoor location technology

Contributed by Simon Firth, freelance technology journalist


HP this week launched HP Location Aware, an indoor location application powered by technology developed by HP Labs. Location Aware can pinpoint your location to within approximately two meters – a major improvement on existing solutions.


Souvik-Sen_Web-2.jpg“The technology grew out of an HP Labs research program that sought to make finding locations inside a building via Wi-Fi as easy and affordable as using GPS outdoors,” said lead HP researcher Souvik Sen. “GPS won’t work inside, but nearly every office, airport, stadium, or mall these days has Wi-Fi, and 85% of cell phone users leave their Wi-Fi capability switched on, so it was an ideal technology to work with.”


Fast set-up, maintenance-free


It’s an idea that others have tried. “But all other Wi-Fi-based indoor location solutions require extensive set up and constantly need to be manually recalibrated to account for things like furniture being moved,” explains Sen. “That’s made them very expensive to install and maintain, and has been a real barrier to widespread adoption of the technology.”



Inbal Tadeski – finding an outlet for creativity at HP Labs Israel

Contributed by Simon Firth, freelance technology journalist


Inbal-Tadeski_March-2014_we.jpgHP Labs researcher Inbal Tadeski didn’t really get excited about computer science until she realized how creative it could be. Growing up in her native Israel with a love of both art and mathematics, Tadeski had planned to become an architect. “Then after high school I met someone working in high-tech who persuaded me that it really could be a lot more creative than I’d thought,” she recalls. That led Tadeski to study for a B.Sc. in computer science at Ben Gurion University in Be'er Sheva, Israel, before working for four years as a software engineer, several of them for HP Software. She then studied for her M.Sc. in computer science, with an emphasis on machine learning, at the Hebrew University of Jerusalem, during which time she interned at HP Labs Israel, and where she now works.

HP: Can you tell us about your research interests?

Well, I’m really interested in a lot of different things, but in particular I’m interested in using structured data to extract important and interesting information from unstructured data. Most of the work I am doing at present is in machine learning and data mining. For example, I just finished working on a recommendation system, the kind you get on sites like iTunes or Netflix that suggest what songs or movies you might enjoy. Most of these systems work simply by finding people similar to you and then suggesting that you will like what they liked. We were looking at adding knowledge from domain experts to add some semantic learning into the recommendation algorithm – there isn’t much about doing that in the research literature, so it was very interesting to pursue. 


An engaging and fun visit to HP Labs Bristol

Contributed by Alison Taylor




Last month, HP Labs Bristol hosted 20 children and 12 HP parents to an evening of learning and thinking about what goes on at the children’s parents’ place of work.  


The theme of the visit was “Dream Big” and was based on the film “Turbo,” the story of a young snail who wants to live life in the fast lane. HP played a large part in the production of the movie as technology from HP’s Z800 and Z820 workstations and HP ProLiant servers was used.


Stephen Crane from HP Labs Bristol led the first part of the evening with a code making/breaking session, explaining how you can safely send sensitive data quickly via email if you encrypt it and provide the receiver with a key to unlock the file. 



Guy Wiener – Discovering the joy of analytics at HP Labs Israel

Contributed by Simon Firth, freelance technology journalist


gwiener-crop_web.jpgAlthough he works in HP’s Analytics Lab, Guy Wiener’s background is in software engineering, with an emphasis on software modeling. “It’s a way to help people build complex pieces of software by sparing them from having to reinvent basic elements of the program every time,” he explains. Wiener received his B.Sc. in software engineering from The Technion, Israel Institute of Technology in Haifa, Israel and his M.Sc. and Ph.D. in computer science from the Ben-Gurion University in Be'er-Sheva, Israel. After a post-doctoral fellowship at the Weizmann Institute of Science in Rehovot, Wiener joined HP’s Analytics Lab in mid-2012, working in the HP Labs Israel office in Haifa, not far from where he grew up. Wiener’s first research project at HP Labs required applying his skills to an entirely new field: information analytics. “It was actually a lot of fun,” he recalls. “I learned so much.” He’s now planning to stick with analytics for a while.


HP: So how did you end up working in HP’s Analytics Lab?

I was looking for a job during my post-doc and heard that the Analytics Lab was looking for someone who could do large scale software analysis, applying analytic techniques to the properties of software. It was a great opportunity, because I met half of the criteria and I was excited to learn the rest! So I jumped in, and along the way picked up the data analysis, machine learning, and all other analytics skills I needed. 


HP Labs and HP Vertica enhance R to simplify Big Data processing

Contributed by Indrajit Roy, HP Labs principal researcher and technical lead for the Distributed R project


Editor’s Note: Distributed R began at HP Labs as asummer internship project in 2011. During the last three years a dedicated team of HP Labs researchers and HP Vertica developers has continued to work on the project and developed the technology to the point where it has now been transferred to HP Vertica’s marketplace for commercial use.



From left to right: HP Labs researchers Vanish Talwar, Alvin AuYoung, Rob Schreiber, and Indrajit Roy. Not in the photo: interns Shivaram Venkataraman, Erik Bodzsar, and Kyungyong Lee



icon_1068_1063.pngData scientists are key to unlocking actionable insights from data – a task that’s becoming increasingly complex as we tackle ever larger sets of both structured and unstructured information. At HP, we realize the need to empower data scientists in the ‘Big Data’ era. To that end, HP Vertica announced last month the debut of Distributed R, a platform developed in HP Labs to run complex machine learning, statistical analysis, and graph processing on a Big Data scale.


Every data scientist has his or her favorite analysis tool. For the last decade, the statistical programming language R has been a popular choice – it’s open source and used by millions. However, R has multiple limitations when applied to Big Data. The main issue: R does not scale and it features almost no parallel algorithms. 


Martina Trucco to participate in DiscoverE’s Global Marathon


Discover E logo.pngDiscoverE’s annual Global Marathon is a free worldwide annual online forum whose goal is to promote women in engineering and technology.


This year’s event kicks off tomorrow, March 5th, with opening remarks by HP President and CEO Meg Whitman. During three days of live webcasts the Marathon allows women professionals to meet virtually and share their stories of personal, educational, and professional challenges and successes.


martina-trucco-headshot-6_r.jpgHP Labs’ Martina Trucco, Strategic Planning Manager, will participate in the opening session with other women in technical and engineering careers. The topic of the first day’s panels is “Advice From the Top.” Meg’s video, along with videos from other women in leadership roles at technical companies such as Dupont, GM and Motorola, will be followed by a Q&A session with Martina alongside Danielle Curcio, Chief Software Engineer for Raytheon and the Marathon’s Global Chair.


Registration and participation is free! Sign up and join attendees from 52 countries and counting.


HP Labs works with HP TippingPoint to reveal previously undetected network attacks

Contributed by Simon Firth, freelance technology journalist


hp_tippingpoint.pngHP TippingPoint debuted last week a major enhancement to its HP TippingPoint Reputation Digital Vaccine (RepDV) service – developed in collaboration with HP Labs – that promises to help organizations identify and catalog previously unnoticed malicious domain names, and thereby better anticipate and mitigate hostile attacks on network infrastructure and data centers.


HP TippingPoint RepDV offers a global ‘blacklist’ of known bad domain names and IP addresses, which customers can use to identify compromised computers and block traffic coming from or going to these sites.


Historically, HP TippingPoint has built its list by: 

  • establishing online ‘honeypots’ that catch malware from which RepDV can identify suspect domain names and IP addresses
  • discovering bad domain names and IP addresses as part of its own internal research process
  • importing third party blacklists that it combines with a computed reputation score 


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About the Author(s)
  • Managing Editor, Innovation @ HP Labs blog, Strategic Planning manager at HP Labs
  • Steve Simske is an HP Fellow and Director in the Printing and Content Delivery Lab in Hewlett-Packard Labs, and is the Director and Chief Technologist for the HP Labs Security Printing and Imaging program.
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