IBM New POWER7+ microprocessor

New POWER7+ microprocessor

Among its many features, the new POWER7+ microprocessor offers an expanded 2.5x L3 cache memory, greater security with faster file encryption for the IBM AIX operating system, and memory compression that results in no increased energy usage over previous generation POWER7 chips.

Enterprise Systems Family

IBM's new enterprise Power Systems and the zEnterprise EC12 mainframe servers are part of the company's continued focus on Smarter Computing systems aimed at solving the varied and intensifying challenges organizations are facing, from security vulnerabilities to managing ballooning data volumes that are expanding through social and mobile technologies. (Credit: IBM)

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IBM Smarter Storage for enterprise systems: DS8870

Discover the benefits of the newest IBM enterprise-class storage. Learn more about the superior performance and reliability of the DS8870 at: http://www.ibm.com/systems/storage/disk/ds8000/index.html

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THINK Forum Japan (日本語字幕)

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RI Seminar: Andy Ruina : Gliders, bicycles and walking robots

Andy Ruina
Mechanical Engineering, Cornell

September 21, 2012

Many airplanes can, or nearly can, glide stably without control. So it seems natural that the first successful powered flight followed from mastery of gliding. Many bicycles can, or nearly can, balance themselves when in motion. Bicycle design seems to have evolved to gain this feature. We can make robots that, like a stable glider or coasting bicycle, stably walk without motors or control in a remarkably human-like way. So it makes sense to use `passive-dynamics' as a core for developing the control of walking robots and to gain understanding of the control of walking people. That's what I used to think.

But, so far, this has not led to robust walking robots. What about human evolution? We didn't evolve dynamic bodies and then learn to control them. Rather, people had elaborate control systems way back when we were fish and even worms. But if control is paramount, why is it that uncontrolled passive-dynamic walkers can walk so much like humans? It seems that energy-optimal control, perhaps a proxy for evolutionary development, arrives at solutions that have features in common with passive-dynamics. Rather than thinking of good powered walking as passive walking with a small amount of control added, I now think of powered walking as highly controlled, but with much of the motor action titrated out.

Speaker Biography
Andy Ruina is a Professor of Mechanical Engineering at Cornell University where he has been, but for various leaves, since the afternoon of Monday August 25, 1980. He teaches various basic mechanics and math classes. His early research was on rock friction and sliding instability, with the aim of increasing understanding of earthquakes, and now his biomechanics and robotics lab focusses on legged locomotion. He has also worked on bicycles, solid mechanics and fracture. He likes classical rigid-object dynamics, especially contact (collisions, friction, non-holonomic constraints). He likes simple and ideal models. His degrees are from Engineering at Brown (ScB. 76, ScM. 78, Ph.D. 81).

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RI Seminar: David Pynadath : Modeling Social Reasoning via Recursive, Decision-Theoretic Planning

Advances in artificial intelligence have led to subsequent advances in computational models of human decision-making and behavior. These new computational models provide powerful tools for social scientists, as well as more direct applications in social simulation, serious games, human-computer interaction, etc. Unfortunately, the richness and variety of human behavior often complicate and clutter such models, making it harder for designers to make use of them to create such applications. In this talk, I describe PsychSim, a general-purpose modeling architecture that uses theory of mind to capture the reasoning that people do when interacting with others, whether real or computer-generated. PsychSim's combination of decision theory with recursive models of others has supported the modeling of a wide variety of social phenomena, including influence theory, social norms, and self-deception. More importantly, PsychSim's unique algorithms facilitate authoring to the degree that non-computer scientists have successfully used it to model complex social scenarios for training games. By placing computational tools like PsychSim into the hands of the experts (social scientists, game designers, etc.), we can accelerate their use and their advancement along the most relevant directions of need.

Speaker Biography

David Pynadath is a Research Scientist at the Institute for Creative Technologies at the University of Southern California. His research has focused on developing an artificial intelligence framework that can model, simulate, and analyze social interaction, with special emphasis on the methods by which agents, both human and software, form and update beliefs about each other. In the context of software systems, he has analyzed the theoretical properties of optimal coordination and implemented an architecture capable of performing domain-independent teamwork among people, intelligent agents, and legacy software systems. In the context of human systems, he has built upon these algorithms to develop an agent-based simulation architecture, called PsychSim, that combines probabilistic reasoning and theory of mind to capture complex social phenomena. PsychSim has enabled the deployment of multiple simulation applications such as video games to teach people how to operate in social environments.

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Guy Tribble



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IBM System z

IBM System z mainframes are helping a number of clients in growth markets.


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Social Sentiment: Are You Listening?

As social media tools become more prevalent, those participating in the online conversation become increasingly influential, especially as their opinions travel faster and to a wider group of consumers. The IBM Social Sentiment Index uses analytics and natural language processing technologies to aggregate and gauge consumer public opinions from Twitter, blogs, message boards and other social media.

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Tennis and Technology Hit the Courts at the U.S. Open

Major sporting events like the U.S. Open are not only exciting to watch and follow, but are also a living lab for how "big data" can translate into big business. This year, the USTA is using predictive analytics and cloud computing to improve the experience for everyone: fans, tennis players, event organizers and broadcasters. USTA's Phil Green and IBM's Rick Singer explain how.
Find out more at http://www.usopen.org/ibm/index.html

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FEI Electronics Business

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What's the Next Big Thing?

IBM's Ed Walsh talks with Mark Peters from ESG about the significance of the announcements made on June 4th 2012 and where IBM will be taking its strong storage innovations for current and future customers.

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Building Smarter Cities video documentary

Just like businesses, cities compete in a global marketplace. By leveraging technology, they can use information to engage their communities, deliver better services, and lure prospective citizens.

ラベル:IBM smarter cities
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IBM SecondSight Premiers at Wimbledon


IBM SecondSight, a new interactive feature, will be used this year for the first time for centre court action at the Wimbledon Championships. It's a new technology that uses video feeds to track and analyze the physical movements of players on the court--then displays their actions in a virtual setting on computer screens. This demonstration video captures doubles action from last year's Wimbledon, where the technology was tested out in a limited way on a lesser court.

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Swiss Re - IBM System zでのIDAA活用事例(日本語吹替え版)

Swiss Re(再保険会社)様のSystem zご活用事例。
基幹システム上のデータをリアルタイムで分析するIBM DB2 Analytics Accelerator(IDAA)でクレーム分析を高速化、オペレーショナル・データを効果的に統合することで、最大60%もの分析報告書作成時間を短縮、ビジネス競争-力の向上に成功されました。

ラベル:IBM system Z Swiss DB2
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Developing iPad Apps Course - Student Project Demos

Comparing cereal brands by fiber, fat or calorie content. Examining flight delays by date, airline or airport. Exploring a place using content from around the web. These are just a few of the kinds of iPad apps created by students in Carnegie Mellon University's first project-based course that focused on helping users visualize and make sense of large data sets.

Co-taught by CMU Assistant Professor Niki Kittur and top industry developers, the classes were also available for free on iTunes U − bringing the top-notch instruction of CMU's Human Computer Interaction Institute to the curious far and wide.

For all of the student project demos, and to access lecture videos and other course materials from Developing iPad Applications for Visualization and Insight, visit: http://itunes.apple.com/us/course/developing-ipad-applications/id499050344

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Sheltering A City With Data: The Rio de Janeiro Story

Rio de Janeiro, the most visited city in the southern hemisphere, will soon play host to both the World Cup and the Olympic Games. Unfortunately it is also the location of the biggest natural disaster in Brazil's history. In 2010, Rio de Janeiro was devastated by severe floods and mudslides, which took hundreds of lives and left thousands homeless.

Out of the need for improved emergency management and better weather prediction, IBM helped the city integrate predictive analytics, real-time data, and weather modeling technology and establish a state-of-the-art operations center. At the heart of the center is PMAR, a high resolution weather prediction system powered by IBM's Deep Thunder supercomputer. It lets the city predict rains and floods 48 hours in advance, allowing for better management of emergency services and potentially saving lives.

From there the Rio Operations Center grew, and now acts as a nervous system for the entire city: managing traffic congestion, keeping a close eye on crime response and prevention, predicting brownouts in the power grid, and coordinating large-scale events to ensure public safety.

Integrating over 30 agencies and services across the city, the Rio Operations Center empowers the government and its citizens to be prepared for whatever nature may throw their way. IBM is helping make cities smarter. Let's build a smarter planet - http://www.ibm.com/smarterplanet/us/en/smarter_cities/overview/index.html

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ラベル:予測 ゲーム
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ラベル:規制 予測
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