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Building 32 Map

Future Architecture Research - Big Data environment

July 29, 2015, 3-4:30 PM

Uri Weiser
Uri Weiser Professor emeritus - Technion IIT

Host: Professor Arvind
Host Affiliation: CSG - CSAIL - MIT

The era of Big Data Computing is already here. Data centers today are reaching 1 million meter square each, while the power required to operate such center reaches close to 100 MWatts each. The electrical cost of such centers dominates operating expenses. In 2014, in the US alone, Data Centers energy consumption was at about 100 Billion KWh at a cost of close to $10B (at total of 15,000 Mega Watts).

The Power Usage Efficiency – PUE – measuring total energy of data centers vs. IT energy, ranges between 1.2 to 2.0. This means that one Joule saved in computing technology (IT), saves around 1.5 Joule of energy consumed by a data center.

Computing Technology energy is dominated by data movement and operations’ duration; our past research (N. Magen 2004) showed that >60% of the energy consumed in computing chips is due to data movement. Furthermore, Stanford research (B. Dally, M. Horowitz) shows that the energy ratio between execution (e.g. 64 bit DP op – 20pJ) and moving data (DRAM access; 256bit Read/Write -16nJ) is 2-3 order of magnitude. Furthermore, some of Big Data flows may creat Bandwidth bottlenecks which the Funnel concept may solve.

In this talk we will cover our previous research and disclose energy saving aspects; we will reveal a tip of new paradigm in handling data movements in Big Data environment.

Uri Weiser is a Professor emeritus at the Electrical Engineering department, the Technion IIT and is in the advisory board of numerous startups. He received the bachelor and master degrees in EE from the Technion and Ph.D in CS from the University of Utah, Salt Lake City.

Professor Weiser worked at Intel from 1988-2006. At Intel, Weiser initiated the definition of the Pentium® processor, drove the definition of Intel's MMX™ technology, invented the Trace Cache, co-managed the a new Intel Microprocessor Design Center at Austin, Texas and formed an Advanced Media applications research activity. Weiser was appointed an Intel Fellow in 1996, in 2002 he became an IEEE Fellow and in 2005 an ACM Fellow.

Prior to his career at Intel, Professor Weiser worked for the Israeli Department of Defense as a research and system engineer and later with National Semiconductor Design Center in Israel, where he led the design of the NS32532 microprocessor.

Professor Weiser was an Associate Editor of IEEEMicro Magazine (1992-2004) and is Associate Editor of Computer Architecture Letters.

Building 46 Map

Elementary mechanisms of sequence and syntax in human and non-human primates

July 31, 2015, 10 AM

Stan Dehaene, Ph.D
Collège de France

Host: Nancy Kanwisher

How do human representational capacities differ from those of other species? Language, music and mathematics are prime examples of domains that seem uniquely developed in humans. Hauser, Chomsky and Fitch hypothesized that they reflect a human-specific ability to represent recursive or nested structures. In this lecture, I will present recent fMRI data from my laboratory exploring the issue of human uniqueness for language and mathematics. In the first part, I will present human fMRI data suggesting that linguistic and mathematical structures involve parallel circuits passing through distinct sectors of inferior frontal cortex. In the second part, I will describe our efforts to reduce the complexity of these tasks by studying the encoding of abstract auditory patterns in human adults, infants, and macaque monkeys. fMRI studies in monkeys and humans suggest that both species possess dissociable dorsal and ventral circuitry for number and sequence patterns, but that only humans are assembling both sources of information into a single integrative representation in bilateral inferior frontal gyrus.

Downstream Processing

August 3-7, 2015

Continuing discoveries in molecular biology, genetics, and process science provide the foundation for new and improved processes and products in today's biochemical process industry. The production of therapeutic proteins, which is made possible by discoveries in biotechnology, will generate sales exceeding $150 billion in 2014. In addition, biotechnology has led to marked improvement and expansion in the traditional biochemical process industry for production of enzymes, diagnostics, chemicals, pharmaceuticals, and foods. Continued introduction of new technology necessitates innovation in process development scale-up and design. As a consequence, there is the need to design new, as well as to improve existing, processes. An integral and cost intensive part of these processes is associated with downstream processing for product isolation and purification.

Who Should Attend

The course covers fundamental principles of downstream processing with practical examples and case studies to illustrate the problems and solutions faced by the practitioner. It is intended to provide both insight into and an overview of downstream processing for individuals actively engaged in process research and development, as well as those who manage and innovate in the biochemical process industry. Increasingly, scientists and engineers engaged in fermentation and cell culture development attend the course to better understand the context of the whole process. Attendees include:

  • Engineers and scientists interested in design, economics, validation optimization and scale-up of biochemical product recovery;
  • Protein biochemists and chemists involved in design of recovery processes;
  • Managers responsible for biochemical process development;
  • Entrepreneurs, attorneys, and business leaders wanting an overview and insight into biochemical manufacturing.

Design and Analysis of Experiments

August 3-7, 2015

Planning Experiments, Doing Experiments, and Analyzing Experimental Data

This one-week program is planned for persons interested in the design, conduct and analysis of experiments in the physical, chemical, biological, medical, social, psychological, economic, engineering or industrial sciences. The course will examine how to design experiments, carry them out, and analyze the data they yield.

Various designs are discussed and their respective differences, advantages, and disadvantages are noted. In particular, factorial and fractional factorial designs are discussed in greater detail. These are designs in which two or more factors are varied simultaneously; the experimenter wishes to study not only the effect of each factor, but also how the effect of one factor changes as the levels of other factors change. The latter is generally referred to as an interaction effect among factors.

The fractional factorial design has been chosen for extra-detailed study in view of its considerable record of success over the last thirty years. It has been found to allow cost reduction, increase efficiency of experimentation, and often reveal the essential nature of a process. In addition, it is readily understood by those who are conducting the experiments, as well as those to whom the results are reported.

The program will be elementary in terms of mathematics. The course includes a review of the modest probability and statistics background necessary for conducting and analyzing scientific experimentation. With this background, we first discuss the logic of hypothesis testing and, in particular, the statistical techniques generally referred to as Analysis of Variance. A variety of software packages are illustrated, including Excel, SPSS, JMP, and other more specialized packages.

Throughout the program we emphasize applications, using real examples from the areas mentioned above, including such relatively new areas as experimentation in the social and economic sciences.

We discuss Taguchi methods and compare and contrast them with more traditional techniques. These methods, originating in Japan, have engendered significant interest in the United States.

Applicants need only have interest in experimentation. No previous training in probability and statistics is required, but any experience in these areas will be useful.

All participants receive a copy of the text, Experimental Design: with applications in management, engineering and the sciences, Duxbury Press, 2002, co-authored by Paul D. Berger and Robert E. Maurer, in addition to extensive PowerPoint-style notes.

Advances In Imaging: Emerging Devices and Visual Mining

August 3-6, 2015

The course provides an overview of computational imaging techniques, including novel imaging platforms to sample light in radically new ways and emerging topics in image analysis and exploitation. New cameras that can sample the high dynamic range (HDR), light field, or wide spectrum are emerging. In addition, ultra-fast optics for femto-photography and diffraction-beating technologies for microscopy are bringing unprecedented resolution in time and space. In this course, we will survey the landscape of imaging hardware, optics, sensors, and computational techniques. Participants will learn about and see hands-on demonstrations of high-end imaging devices. We will explore new emerging solutions that are opening up new research and commercial opportunities in immediate as well as future applications. Key topics include light fields, high dynamic range imaging, signal processing, applied optics, Fourier optics, ultrafast and multi-spectral imaging, compressive sensing, computer graphics and computer vision, and social photo collections.

The course is suitable for decision makers and planners for next generation of imaging solutions, engineers and designers of imaging systems, and anyone interested in review of existing and emerging solutions in optics, sensors, and image analysis. Application areas include consumer photography (including mobile phones), industrial machine vision, and scientific and medical imaging.

Building 46 Map

Searching for cortical representation of speech objects

August 3, 2015, 2 PM

Bo Hong, Ph.D
School of Medicine
Tsinghua University

A finite set of phonetic units is used in human speech. How our brain recognizes these units from speech stream, as we do in visual object recognition, is still largely unknown. The revealing of this neural mechanism may lead to the development of speech brain computer interfaces and intelligent speech recognition systems. In this study, we used intracranial EEG (iEEG) from human auditory cortex to decode phonetic units during the perception of continuous Chinese speech. By checking high-gamma (60-140Hz) power of iEEG, we identified electrodes over superior temporal gyrus(STG) and superior temporal gyrus (STS), mainly at the left hemisphere, that showed selective response to specific Chinese vowel complex or its constituent parts (glide, nuclues and coda). The high-gamma activity of these electrodes was further combined to separate sets of phonemes into clusters. The clustered organization largely coincided with phonetic categories defined by place of articulation, similar as that has been found in English (Mesgarani et al, 2014). These findings were incorporated into a decoding framework of Chinese phonemes clusters and achieved consistent accuracies higher than chance level. In tonal languages like Chinese, lexical tone also serves as a key feature to provide contrast in word meaning, as the color does on visual objects. Behavior studies suggest that Mandarin Chinese tone is categorically perceived (Wang 1976; Xu et al. 2006). However, its underlying neural mechanism is still poorly understood. Here, an Oddball paradigm was designed by selecting two standard-deviant stimulus pairs with same physical distance but different category labels, among the synthesized tones with continuously varying pitch contours. We found distinct neural responses to the two standard-deviant tone pairs, the difference increased from low to high-level electrodes along the cortical hierarchy of auditory processing. The latency of tone-pair separation and Granger causality analysis suggested a temporal hierarchy, starting from right anterior temporal lobe (ATL), peaking at right STG and ending at left STG. Since the phonemes and lexical tones are mainly processed in the same vicinity of superior temporal lobe, it is feasible to develop a brain computer interface with high-density microelectrode array covering this area, to turn thoughts into speech.

One Main Street
East Arcade - 1st floor
Cambridge, MA 02142

Digital/personalized Health Tech Innovation- Startup Exchange Workshop

August 27, 2015, 8:30-11:30 AM

Personalized healthcare, fueled by various health tech innovations, products, and services, is at the core of the healthcare innovation debate these days. MIT Startup Exchange (STEX) is convening a workshop to discuss the latest advances in personalized health tech innovation from the perspective of the corporates, academics, VCs, government, and startups in the MIT ecosystem redefining the field today. We aim to cover innovation models, technologies, collaboration patterns, and partnerships.

Speakers will touch on topics such as technologies at the tipping point of adoption, incremental advances, disruptive, open innovation, hybrid innovation (new/old tech combinations), devices, etc. The target audience is the MIT innovation ecosystem, including faculty, students, startups, and ILP member companies. All are welcome. Attendance is free. We have reserved 10 seats for MIT startup founders and this event will especially cater to the MIT STEX Healthcare cluster which currently contains 64 startups. MIT startups in this space include: Eyenetra, GeriJoy, and Peach Intellihealth. Previous workshops in the STEX tech cluster workshop series include Robotics going mainstream, The next big thing in mobile (1/29), upcoming workshops include Better Biotech innovation (2/26) and Incremental Energy Innovation (3/19). We typically have 50-75 participants (from MIT, startups, and industry).

The event will include Corporate speakers, MIT speakers, VCs, public officials, and a startup lineup followed by a panel discussion. The panel discussion is on the pain points or opportunities for digital/personalized healthcare innovation right now, particularly regarding how to improve the collaboration and knowledge exchange between various stakeholders in the ecosystem to fuel startup or corporate innovation activity.


Joseph J. Frassica, MD, FAAP, FCCP, Vice President and Chief Medical Informatics Officer/Chief Technology Officer, Philips Healthcare - Patient Care and Monitoring Solutions.
MIT connected startup executives (tbd). Apply on STEX or indicate your interest in speaking when signing up.
Karl Koster, Executive Director, MIT ILP.

Related STEX healthcare opportunities:
Healthcare Literacy for Financial Services
Orthopedic Reconstruction, Sports Medicine, and Trauma
Sensorial freshness technologies and ingredients

Cambridge, MA

Investment Management Theory and Practice: A CIMA Certification Registered Education Program (online)Innovation and Images: Exploring the Intersections of Leadership and Photography

September 1 - October 30, 2015

Investment Management Theory and Practice is an online course for investment professionals pursuing the prestigious CIMA certification. Candidates take this course entirely online over a 60-day period immediately preceding a CIMA certification exam testing window. There is no need to travel or spend a week out of the office as this course was built with busy schedules in mind. Participants may study at any time they choose (i.e., weekends, evenings or during the day).

This course, led by industry pioneer Andrew Lo and financial certification specialist Jim Dobbs, includes comprehensive coverage of the topics and learning objectives found in the CIMA Certification Exams Detailed Content Outline (aka: core topics list). This course has been developed to help you better understand the concepts, calculations, and applications found in the CIMA core topics list; help you prepare for and pass the MIT course exam and CIMA certification exam; and help you take your practice to the next level.

Investment Management Theory and Practice walks you through the core topics and learning objectives found in the CIMA certification curriculum line-by-line. This online course uses several learning methods to help participants succeed including: classroom lecture videos, learning modules, exercises and applications, quizzes and a sample test.

Topic coverage includes: ethics and regulation, a review of financial fundamentals (including statistics, time value of money, and economic analysis), risk management, performance measurement and analysis, traditional and alternative investments, portfolio theory and models, behavioral finance, and the investment consulting process (including client discovery, investment policy, portfolio construction and management, manager search and selection, and portfolio review).

This online course reviews financial and investment concepts, theories, models, and strategies. Participants will develop the skills and resources needed to build and manage successful investment portfolios. The faculty team help participants navigate the complex and sometimes confusing world of investment thought and application. Participants will learn to develop investment strategies and portfolios based on client goals and objectives, time horizon, and risk tolerance.

Successful completion of this course satisfies the CIMA certification education requirement.

For more information please contact program director, Jim Dobbs, at cimainfo@mit.edu