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Conference Details - Agenda

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2019 MIT Research and Development Conference

Human and Technology Collaboration
November 13-14, 2019
 

Day 1: Wednesday, November 13, 2019

Day 1: Wednesday, November 13, 2019
Registration and Light Breakfast

8:30 - 8:45

Welcome Remarks & MIT Innovation Ecosystem

8:45 - 9:10

Human-Computer Collaboration
The MIT Center for Collective Intelligence (CCI) explores how people and computers can be connected so that – collectively – they act more intelligently than any person, group, or computer has ever done before. CCI brings together faculty from across MIT to conduct research on how new communications technologies are changing the way people work together. This first-of-its-kind research effort draws on the strengths of many diverse organizations across the Institute in a collaborative mission to understand collective intelligence at a deep level in order to create and take advantage of the new possibilities it can enable. Center Director Tom Malone will provide an overview of CCI’s insights and direction for the future.
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9:10 - 9:35

The MIT Task Force on the Work of the Future
The remarkable progression of innovations that imbue machines with human and superhuman capabilities is generating significant uncertainty and deep anxiety about the future of work. Whether and how our current period of technological disruption differs from prior industrial epochs is a source of vigorous debate. But there is no question that we face an urgent sense of collective concern about how to harness these technological innovations for social benefit. To meet this challenge, the Institute launched the MIT Task Force on the Work of the Future in spring 2018.
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9:35 - 10:00

Extended Intelligence
While Artificial Intelligence studies how intelligent decision making can be produced by machines, Extended Intelligence instead focuses on how people, augmented with smart technologies, may achieve optimal performance and well-being. These augmentations allow for cognitive enhancements via wearables to amplify and assist with things like memory, attention, decision-making, learning, and communication. Pattie Maes will present her work on these smart systems that can closely integrate with people to support their behavior and decision making.
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10:00 - 10:20

Networking Break

10:20 - 10:55

Panel – MIT’s Collective Intelligence Design Lab (CIDL) In Action
MIT’s Collective Intelligence Design Lab (CIDL) helps groups design innovative new kinds of collectively intelligent systems (superminds) to solve important problems. This panel will bring together leaders from the organizations affiliated with the CIDL to describe their experience with the process.
Moderated by Thomas Malone, Founding Director of the Center for Collective Intelligence, the panel includes representatives from Deloitte, Takeda, and MIT.

10:55 - 11:00

MIT Professional Education

11:00 - 11:05

MIT Sloan Executive Education

11:05 - 11:30

MIT.nano
Vladimir Bulovic will provide an overview role of MIT.nano in supporting research, innovation, and corporate engagement in the area of Human and Technology Collaboration.

11:30 - 12:00

MIT Startup Exchange: Introduction with Lightning Talks

MIT Startup Exchange actively promotes collaboration and partnerships between MIT-connected startups and industry. Qualified startups are those founded and/or led by MIT faculty, staff, or alumni, or are based on MIT-licensed technology. Industry participants are principally members of MIT’s Industrial Liaison Program (ILP).

MIT Startup Exchange is a community of over 1,800 MIT-connected startups with roots across MIT departments, labs and centers; it hosts a robust schedule of startup workshops and showcases, and facilitates networking and introductions between startups and corporate executives.

STEX25 is a startup accelerator within MIT Startup Exchange, featuring 25 “industry ready” startups that have proven to be exceptional with early use cases, clients, demos, or partnerships, and are poised for significant growth. STEX25 startups receive promotion, travel, and advisory support, and are prioritized for meetings with ILP’s 260 member companies.

MIT Startup Exchange and ILP are integrated programs of MIT Corporate Relations.
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Lightning Talks Part I
- FGC Plasma: Better combustion for energy, aerospace, and national security
- Augmental Technologies: Teeth & tongue gestures for seamless hands-free interaction
- IndustrialML: Factory productivity through machine learning
- Realtime Robotics: Accelerated and continuous collision-free motion planning

Lightning Talks Part II
- blkSAIL: Marine autonomy as a service
- JETCOOL: Cooling for high power electronics
- Leela AI: Enabling robots to operate autonomously in unpredictable environments
- robonity: Applied planetary robotics & AI for smarter agriculture
Lunch with Startup Exhibit
Additional Exhibiting Startups:
- RightHand Robotics: Robots for piece-picking and packaging
- Top Flight Technologies: Heavy lift, long range hybrid-electric UAVs
- Nara Logics: AI for product recommendation and decision support
Track 1: Environmental Solutions Initiative

14:00 - 14:40

Committing to the environment and climate at MIT
The MIT Environmental Solutions Initiative was founded in 2014 and charged by MIT President L. Rafael Reif with leading the Institute’s “drive to increase fundamental knowledge and accelerate progress towards solutions around environment, climate, and human society.” Director Fernandez will describe the work of the ESI and highlight the ways in which industry plays a critical role in a productive, sustainable and humane future for people and the planet.

14:40 - 15:20

Simultaneous optimization of environmental and technical performance in materials and process design
Delayed optimization of environmental metrics in material design and industrial practice can lead to costly redesign and remediation needs. Higher-throughput environmental assessment tools and predictive strategies may help guide design for more economically and environmentally sustainable industrial process and practices. Plata will discuss specific examples from oil and gas development, nanomaterial synthesis, and recent efforts in improved polymers and plastics for environmental compatibility.

15:20 - 15:40

Networking Break

15:40 - 16:20

Storage requirements for electrifying and decarbonizing transportation and electricity
In this talk, I will quantify the energy storage requirements of various electrification and decarbonization scenarios. Through solving data-informed optimization models, key technological innovation opportunities will be revealed, spanning hardware, software, and business models.

16:20 - 16:40

Water security in a heating world: self-assembled materials for heavy metal remediation
An increasing body of evidence demonstrates that there is a direct correlation between global warming and the release of heavy metals into drinking and crop water supplies, and water security remains a pressing sustainability challenge in developing nations. We present a pathway to obtain ultra-stable nanofibers assembled from small molecules in water which rival the mechanical properties of nature's stiffest materials. We then decorate the surface of these nanofibers with efficient heavy metal chelators and demonstrate orders of magnitude improvement over macroscopic alternatives in use today, offering a way to miniaturize water treatment while overcoming several complications of existing strategies.
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16:40 - 17:00

The Time of Steady Climate Change
A goal of the Paris Agreement is to stabilize atmospheric greenhouse gas concentrations. If this were achieved, global warming would slow to a rate significantly lower than 21st century warming rates, but little is known about how this would occur over time and across geographies. This work investigates this geographic variability and provides the first framework for estimating the end of rapid, anthropogenic warming.
Track 2: Design in the Digital Era

14:00 - 14:40

Self-Assembly: for materials, manufacturing and construction

14:40 - 15:20

The Latest Academic Arms Race - Making + Entrepreneurship - Is Going to Matter To You
Several decades back, the hands-on capstone course was a step change for technology education. It started at schools like MIT and spread worldwide. We now expect students have some experience in "thinking + doing," in fact, it is often necessary for university accreditation.

We are in the midst of an impending step change, and again, schools like MIT are in competition to lead this change. It has led to an "arms race" in higher education that will shape the future people that work with/for you. Hundreds of millions of dollars are being spent by universities in a competition to create innovation ecosystems that produce technology innovators that have making + innovation skill sets.

You're going to want to know about these people, who is best at educating/creating them, and how to gain a competitive advantage in hiring them. In this talk, I'm going to help you figure that out.
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15:20 - 15:40

Networking Break

15:40 - 16:20

Staircase to Utopia: Advances in Technology Roadmapping
This presentation will present a new state of the art framework for technology roadmapping based on a similar approach implemented at Airbus from 2016-2018 and demonstrated using the example of stratospheric solar-powered electric aircraft. The framework includes four steps beginning with a quantitative assessment of the current state of technology and competitive analysis and concludes with a risk-optimized R&D portfolio with specific Figure-of-Merit (FOM) based targets. The presentation will summarize the 17 technologies for which roadmaps are being developed in Fall 2019 as part of MIT’s new graduate class 16.887/EM.427 on Technology Roadmapping and Development.
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16:20 - 17:00

Rapid Building Design and Delivery
Construction Tech is one of the fastest growing areas of venture capital funding in the US. With over three billion in investments over the past year it is clear that Construction Tech will soon impact the ways we deliver building of all sizes. Moving forward we need new, rich ideas in software development to solve many of the building industries toughest problems. The talk will present a framework for home delivery directly from computers. Larry will show how builders will design and construct buildings from digital files using systems similar to 3D Printing.
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Track 3: Toward the Singularity: The Next Generation of Human-Machine Collaboration
Advances in technology are revolutionizing the ways we sense what is happening in our own minds and bodies, and by extension how humans and machines interact, individually and in groups. Researchers across MIT are at the forefront of this revolution. In this session we’ll show you a few of the latest developments.

14:00 - 14:40

Extended Computing: Artificial Intelligence as a natural extension of Human Cognition
We are currently at an inflection point as artificially intelligent (AI) systems gain capabilities to handle complex tasks in various domains. In this talk, I discuss how machine intelligence could be a direct and complementary extension of human intelligence. I investigate how computing, artificially intelligent systems, and the internet could be directly coupled with the human experience to augment and extend human cognition and abilities. The talk presents recent work on the AlterEgo system, a peripheral neural interface that enables people to silently and internally converse with machines — without voice and discernible movements, and discusses how the human-computer interface can for the first time become endogenous to the human user, changing our relationship with computing and thereby enabling people in different ways. Through the lens of extended computing, I discuss our work investigating AI systems functioning as complements to human cognitive abilities in pursuits as diverse as gene sequencing to human self-expression.
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14:40 - 15:20

Reimagining diagnostics in medical care
Medical technologies are evolving at a very rapid pace. Portable communications devices and other handheld electronics are influencing our expectations of future medical tools. The advanced medical technologies of our future will not necessarily be large expensive systems. They are just as likely to be small and disposable. This talk will review how microsystems and microdevices are already impacting health care as commercial products or in clinical development. Adoption of new technologies depends greatly on compatibility with existing clinical practice. Microsystems that are rapidly adopted fulfill significant medical needs and fit seamlessly with existing procedures. My group has been focusing on studying individual medical procedures and trying to make them do things never before thought possible or dramatically reduce morbidity associated with that procedure. Several examples will be described including noninvasive ways of determining hydration status, measuring local hypoxia in tumors, measuring tumor response to targeted therapy, and longitudinal measurements of biomarkers.
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15:20 - 15:40

Networking Break

15:40 - 16:20

Taking a City's Pulse With Moveable Sensors
The real-time city is now real! The increasing deployment of sensors and hand-held electronics in recent years is opening a new approach to the study of the built environment. Digital technologies are radically changing the way we understand, design, and ultimately live cities. This is having an impact at different scales – from the single building to the scale of the metropolis. On the occasion of the MIT R&D conference, Umberto Fugiglando will address these issues from a critical point of view through projects by the Senseable City Laboratory, a research initiative at MIT. In particular, he will show research advances and use cases of sparse and crowdsourced sensing technologies for addressing issues in air quality measurements, infrastructure monitoring and wastewater sampling.
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16:20 - 17:00

Responsive Environments: Sensing to augment and mediate human experience
At MIT's Media Lab, Professor Joe Paradiso's Responsive Environments group explores how sensor networks augment and mediate human experience, interaction, and perception, while developing new sensing modalities and enabling technologies that create new forms of interactive experience and expression. This work is highlighted in diverse application areas, which have included automotive systems, smart highways, medical instrumentation, RFID, wearable computing, and interactive media. In this talk, we will provide an overview of that work and thoughts on future directions.
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Track 4: Robots-Humans and Interactions

14:00 - 14:40

Navigation and Mapping for Robot Teams in Uncertain Environments
Our work addresses the planning, control, and mapping issues for autonomous robot teams that operate in challenging, partially observable, dynamic environments with limited field-of-view sensors. In such scenarios, individual robots need to be able to plan/execute safe paths on short timescales to avoid imminent collisions. Performance can be improved by planning beyond the robots’ immediate sensing horizon using high-level semantic descriptions of the environment. For mapping on longer timescales, the agents must also be able to align and fuse imperfect and partial observations to construct a consistent and unified representation of the environment. Furthermore, these tasks must be done autonomously onboard, which typically adds significant complexity to the system. This talk will highlight three recently developed solutions to these challenges that have been implemented to (1) robustly plan paths and demonstrate high-speed agile flight of a quadrotor in unknown, cluttered environments; and (2) plan beyond the line-of-sight by utilizing the learned context within the local vicinity, with applications in last-mile delivery. We further present a multi-way data association algorithm to correctly synchronize partial and noisy representations and fuse maps acquired by (single or multiple) robots, showcased on a simultaneous localization and mapping (SLAM) application.
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14:40 - 15:20

Certifiable Perception for Robots and Autonomous Vehicles
Spatial perception has witnessed an unprecedented progress in the last decade. Robots are now able to detect objects, localize them, and create large-scale maps of an unknown environment, which are crucial capabilities for navigation and manipulation. Despite these advances, both researchers and practitioners are well aware of the brittleness of current perception systems, and a large gap still separates robot and human perception. While many applications can afford occasional failures (e.g., AR/VR, domestic robotics) or can structure the environment to simplify perception (e.g., industrial robotics), safety-critical applications of robotics in the wild, ranging from self-driving vehicles to search & rescue, demand a new generation of algorithms. This talk discusses two efforts targeted at bridging this gap. The first focuses on robustness: I present recent advances in the design of certifiably robust spatial perception algorithms that are robust to extreme amounts of outliers and afford performance guarantees. These algorithms are “hard to break” and are able to work in regimes where all related techniques fail. The second effort targets metric-semantic understanding. While humans are able to quickly grasp both geometric and semantic aspects of a scene, high-level scene understanding remains a challenge for robotics. I present recent work on real-time metric-semantic understanding, which combines robust estimation with deep learning. I discuss these efforts and their applications to a variety of perception problems, including mesh registration, image-based object localization, and robot Simultaneous Localization and Mapping.
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15:20 - 15:40

Networking Break

15:40 - 16:20

Enhancing Human Capability with Intelligent Machine Teammates
Every team has top performers -- people who excel at working in a team to find the right solutions in complex, difficult situations. These top performers include nurses who run hospital floors, emergency response teams, air traffic controllers, and factory line supervisors. While they may outperform the most sophisticated optimization and scheduling algorithms, they cannot often tell us how they do it. Similarly, even when a machine can do the job better than most of us, it can’t explain how. In this talk I share recent work investigating effective ways to blend the unique decision-making strengths of humans and machines. I discuss the development of computational models that enable machines to efficiently infer the mental state of human teammates and thereby collaborate with people in richer, more flexible ways. Our studies demonstrate statistically significant improvements in people’s performance on military, healthcare and manufacturing tasks, when aided by intelligent machine teammates.
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16:20 - 17:00

Continually Evolving Machines: Learning by Experimenting
An open question in artificial intelligence is how to endow agents with common sense knowledge that humans naturally seem to possess. A prominent theory in child development posits that human infants gradually acquire such knowledge through the process of experimentation. According to this theory, even the seemingly frivolous play of infants is a mechanism for them to conduct experiments to learn about their environment. Inspired by this view of biological sensorimotor learning, I will present my work on building artificial agents that use the paradigm of experimentation to explore and condense their experience into models that enable them to solve new problems. I will discuss the effectiveness of my approach and open issues using case studies of a robot learning to push objects, manipulate ropes, finding its way in office environments and an agent learning to play video games merely based on the incentive of conducting experiments.
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17:00

Networking Reception

* All schedule and speakers are subject to change without notice.

Day 2: Thursday, November 14, 2019
Registration with Light Breakfast

8:00 - 8:05

Welcome & Introduction

8:05 - 8:30

Human + Machine: Reimagining Work in the Age of AI
Artificial intelligence has the potential to radically reshape business and society, and transform the way we work and live -- unlike anything we’ve seen since the Industrial Revolution. Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Based on research gathered from 1,500 organizations revealed in the book Human + Machine: Reimagining Work in the Age of AI, this talk will shed light into key research that is needed, how organizations are deploying AI to work with humans in fundamentally new ways, and how the “Missing Middle” is the secret to humans powerfully harnessing the opportunity and the promise of AI for greater good.
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8:30 - 8:55

Experience driven design
In an era when AI, IoT and machine driven optimization increase system performances and task based processes, the fundamental question is to understand how we can design systems and services for humans rather than design human behaviors for machine optimization.

Trough the critical analysis of ongoing technological developments and MIT Design Lab research projects, we will discuss how experience driven, human centered, design can play a distinctive role in our contemporary societies.
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8:55 - 9:20

Fake news: Why we fall for it and what to do about it
Why do people believe and share misinformation, including entirely fabricated news headlines (“fake news”) and biased or misleading coverage of actual events ("hyper-partisan" content)? The dominant narrative in the media and among academics is that we believe misinformation because we want to – that is, we engage in motivated reasoning, using our cognitive capacities to convince ourselves of the truth of statements that align with our political ideology rather than to undercover the truth. In a series of survey experiments using American participants, my colleagues and I challenge this account. We consistently find that engaging in more reasoning makes one better able to identify false or biased headlines - even for headlines that align with individuals’ political ideology. These findings suggest that susceptibility to misinformation is driven more by mental laziness and lack of reasoning than it is by partisan bias hijacking the reasoning process. We then build on this observation to examine interventions to fight the spread of misinformation. We find - given this smaller-than-believed role of partisan bias - that crowdsourcing can actually be a quite effective approach for identifying misleading news outlets and news content. We also demonstrate the power of making the concept of accuracy top-of-mind, thereby increasing the likelihood that people think about the accuracy of headlines before they decide whether to share them online. Our results suggest that reasoning is not held hostage by partisan bias, but that instead our participants do have the ability to tell fake or inaccurate from real - if they bother to pay attention. Our findings also suggest simple, cost-effective behavioral interventions to fight the spread of misinformation.
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9:20 - 9:45

Life 3.0: Being Human in the Age of AI
If AI succeeds in eclipsing human general intelligence within decades, as many leading AI researchers predict, then how can we make it the best rather than worst thing ever to happen to humanity? I argue that this will require planning and hard work, and explore challenges that we need to overcome as well as exciting opportunities. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? How can we make machines understand, adopt and retain our goals, and whose goals should should they be? What future do you want? Welcome to the most important conversation of our time!
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9:45 - 10:00

Networking Break
Track 5: MIT Lincoln Lab Technologies

10:00 - 10:10

Introduction to MIT Lincoln Laboratory
MIT Lincoln Laboratory is a Federally Funded Research and Development Center (FFRDC) operated by MIT for the Department of Defense. Our mission is technology development in support of national security and our R&D activities extend from fundamental investigations through design and field testing of prototype systems. Principal competencies include sensors, information extraction (signal processing and embedded computing), communications, integrated sensing, and decision support. Today’s session will focus on the physiological interfaces and sensory aides, advanced decision-support tools, and novel sensing methodologies.
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10:10 - 10:45

Computer on Watch
Recent breakthroughs in the field of deep learning mark unprecedented progress toward creating artificial intelligence (AI) applications. Achievements in converting spoken language to text, categorizing images, and formulating strategies in challenging games such as Go demonstrate a versatility and utility in AI applications that stand to substantially transform society. The national security technology landscape will be similarly transformed, but facilitating this transformation introduces new challenges. In this talk, we discuss methods developed under the Computer-on-Watch program that integrate the state-of-the-art in artificial intelligence via deep learning with imagery analysis applications. We will explore a prototype system, integrated into a modern DoD software framework, which can successfully identify objects of interest in overhead imagery. We will then review approaches for reducing the data requirements for training deep learning systems. Last, novel research will be presented in automated visual reasoning which lays the groundwork for creating a cognitive assistant that communicates using natural language.
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10:45 - 11:20

Machine-aided Human Performance Enhancement
The integration of wearable technologies with novel, intelligent algorithms can enhance the physical and cognitive abilities of human operators. This presentation will highlight two unique technologies currently under development at MIT Lincoln Laboratory that augment human performance. First, we will discuss the introduction of adaptive attention decoding algorithms with hearables to enhance the listener’s experience in noisy and complex auditory environments. Second, we will show initial advancements in the field of human-exoskeleton teaming with a focus on operationalizing the technology for real-world environments. As part of this presentation, we will discuss supervised and unsupervised machine learning approaches on physiological measurements such as electroencephalography (EEG), Electromyography (EMG), and motion capture data. These emerging technologies, which can sense the intent of the user, can be adaptive and have the potential to enhance human performance and aid in recovery after injury.
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11:20 - 11:40

Networking Break

11:40 - 12:20

Co-adaptive Human-Robot Teaming with a Reinforcement Learning Agent
Navigating our increasingly complex world often requires efficient interactions between humans and automated systems. Our recent work explores collaboration and co-adaptation of human participants with automated decision-making agents using an instrumented virtual environment. In this talk we demonstrate the ability of a general-purpose reinforcement learning agent to learn beneficial team behaviors that consider a human collaborator's demonstrated preferences without requiring explicit communication. We share both team performance results and subjective trust measures for a resource scheduling problem.
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12:20 - 13:00

Diamond Quantum Sensors for Magnetoencephalography
The inner workings of the human brain remains largely uncharted terrain. High-resolution, real-time measurement of in-vivo neuronal activity promises to provide new insights into the mechanics of cognition and perception. Unlike electrical signals, neuronal magnetic signals can be well-localized and are minimally attenuated by surrounding tissue. However, the magnetic signals produced by neurons are minute. Clinical magnetoencephalography systems employ cryogenic sensors in magnetically shielded facilities to achieve sufficient sensitivity. We are building a quantum-based, room-temperature magnetometer sensitive enough to detect the signatures of firing neurons. The sensor, employing nitrogen-vacancy defects in diamond, could offer an alternative to existing magnetoencephalography techniques, enabling evaluation of neuronal signals outside of a shielded room. This type of advance could propel magnetoencephalography into a more widely-used diagnostic tool to help address neurological disorders including epilepsy and post-traumatic stress disorder.
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Track 6: Quest for Intelligence

10:00 - 10:40

Efficient Computing for AI and Robotics
Computing near the sensor is preferred over the cloud due to privacy and/or latency concerns for a wide range of applications including robotics/drones, self-driving cars, smart Internet of Things, and portable/wearable electronics. However, at the sensor there are often stringent constraints on energy consumption and cost in addition to the throughput and accuracy requirements of the application. In this talk, we will describe how joint algorithm and hardware design can be used to reduce energy consumption while delivering real-time and robust performance for applications including deep learning, computer vision, autonomous navigation/exploration and video/image processing. We will show how energy-efficient techniques that exploit correlation and sparsity to reduce compute, data movement and storage costs can be applied to various tasks including image classification, depth estimation, super-resolution, localization and mapping.
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10:40 - 11:20

Towards Deployable ML
Machine learning has made tremendous progress over the last decade. It's thus tempting to believe that ML techniques are a "silver bullet", capable of making progress on any real-world problem they are applied to.

But is that really so?

In this talk, I will discuss a major challenge in the real-world deployment of ML: making ML solutions robust, reliable and secure. In particular, I will survey the widespread vulnerabilities of state-of-the-art ML models to various forms of noise, and then outline promising approach to alleviating these deficiencies as well as to making models be more human-aligned.
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11:20 - 11:40

Networking Break

11:40 - 12:20

Machine Intelligence for Manufacturing and Operations: Opportunities and Challenges
The large amounts of both structured and unstructured data created in manufacturing and operations today present enormous opportunities to apply advanced analytics, machine learning and deep learning. This talk will describe specific use cases in process control and optimization; yield prediction and enhancement; defect inspection and classification and anomaly detection in time series data. Additionally, some of the unique manufacturing and operations challenges like: class imbalance, concept drift and complex multivariate time dynamics will be described. This research has led to the creation of MIT MIMO (Machine Intelligence for Manufacturing and Operations) which will be described during this talk.
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12:20 - 13:00

Dissecting Neural Networks
It is an exciting time for computer vision. With the success of new computational architectures for visual processing, such as deep neural networks (e.g., ConvNets) and access to image databases with millions of labeled examples (e.g., ImageNet, Places), the state of the art in computer vision is advancing rapidly. Even when no examples are available, Generative Adversarial Networks (GANs) have demonstrated a remarkable ability to learn from images and are able to create nearly photorealistic images. The performance achieved by convNets and GANs is remarkable and constitute the state of the art on many tasks. But why do convNets work so well? what is the nature of the internal representation learned by a convNet in a classification task? How does a GAN represent our visual world internally? In this talk I will show that the internal representation in both convNets and GANs can be interpretable in some important cases. I will then show several applications for object recognition, computer graphics, and unsupervised learning from images and audio.
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Track 7: The Human Element

10:00 - 10:40

People-first Technology
To what end? Are we driving technology forward to empower people or to purely displace. As an ML driven company dedicated to empowering over 100 million members, Fred brings a strong voice to how technologists can pursue research to betterment of workers and not detriment and in doing so can help bring balance back to capitalism. Empowering people in a digital age provides great context to the awesome R&D being reviewed.
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10:40 - 11:20

Enhancing human learning
The MIT Integrated Learning Initiative (MITili) is a cross-disciplinary, Institute wide initiative to foster quantitative and rigorous research about how people learn and how knowledge from that research can enhance learning from school through adult professional education. MITili aims to integrate knowledge from psychology, economics, neuroscience, engineering, and public policy in pursuit of these goals. The work of the future will require life-long learning, and knowledge from learning science ought to enhance that learning. I will show how knowledge from learning science can enhance work-place learning. I will also review how technology might enable, and in some cases disable, learning. I will also share recent findings about how sleep matters for higher education. Finally, I will share some evidence about the brain bases of adult learning.
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11:20 - 11:40

Networking Break

11:40 - 12:20

Designing for Humans, not Users
How many Design Thinking workshops have you been to in the last 5 years? How many times have you seen the IDEO shopping cart video? User-Centered Design has changed how industry innovates and has taught us how to go beyond business needs and design for customer/user needs. But think about your favorite products—do they just give you satisfaction as a customer or user? Or do they see into your life and fulfill you at a deeper level? We founded Human Element to go beyond users and to design for humans. In this talk, we will present our proprietary methodology, Whole Human Design to show you how we do that.
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12:20 - 13:00

Transformational change from within – cultivating leadership at all levels
Track 8: Changing Landscape of Mobility - Disruptive Forces and Technologies

10:00 - 10:30

Setting the Scene: Current Technology, Policy and Energy Demand
Moderator: Joanna Moody
Speakers:
- Sergey Paltsev (9 minuets) "Mobility policy, energy demand, and global scenarios"
- Jessika Trancik (9 minuets) "Low-carbon mobility technology development: Measuring progress and predicting innovation opportunities using new models"

Mobility systems are constantly changing. Currently, the availability of on-demand mobility services and the development of new vehicle technologies (e.g. electric vehicles) is altering the way we travel in urban areas. At the same time, policymakers around the world tackle the environmental challenges associated with mobility systems through new policies including emission standards and driving restrictions. This session sets out to (i) provide an overview of emerging vehicle technologies for passenger ground transportation, especially with regard to fuels and powertrains, (ii) outline the interaction of technology adoption with different policy scenarios, and (iii) describe current adoption of new technologies and future innovation opportunities.
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10:30 - 11:20

Panel 1: Disruptors of mobility: Digitalization and Autonomy
Moderator: Randall Field
Speakers:
- Sertac Karaman (17 minutes) "The path towards autonomous vehicles on our roads"
- Sanjay Sarma (17 minutes) "Digitalization of the mobility value chain: opportunities and implications"

Over the past decade, new digital technologies have re-defined mobility in urban areas through new on-demand mobility services offered through a sharing economy model. This session will explore future opportunities associated with digital transformations of the mobility value chain and will assess the implications linked to these transformations from a strategic perspective. In particular, the technological foundations of in-vehicle digitalization will be explored for the case of autonomous vehicles, with a focus on assessing current technical implementations and potential technical solutions.
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11:20 - 11:40

Networking Break

11:40 - 12:20

Panel 2: Disruptors of Mobility - New Transportation Technologies in an Urban Context
Moderator: Randall Field
Speakers:
- Matthias Winkenbach (14 minutes) "Opportunities and Challenges of Urban Delivery of Goods"
- John Hansman (14 minutes) "Opportunities and challenges for urban air mobility"

Urban areas around the globe face increasing mobility challenges. Demand for both passenger and freight services continue to increase, straining already congested systems. Opportunities to build new infrastructure to address these challenges are limited. Therefore, novel system designs are needed to support mobility in future urban environments. For passenger transportation, Urban Air Mobility systems could create additional capacity through largely decoupling transportation from the confinements of the ground. For freight transportation, existing ground infrastructure (e.g. metro systems) could be leveraged systematically and autonomous systems in combination with additive manufacturing techniques for localized production could disrupt urban logistics.
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12:20 - 13:00

Panel 3: A Vision for Urban Mobility
Moderator: David Keith
Panelists (4-minute statement each):
Kent Larson
Carlo Ratti
Sarah Williams
Jinhua Zhao

Given the severe mobility challenges in urbanizing areas, numerous visions for designing urban mobility systems are discussed by policymakers, planners, and industry. These visions must anticipate technological and sociodemographic developments, while accounting for the constraints of operator business models and environmental concerns. In this session, MIT faculty will share and discuss their ideas for urban mobility systems around the globe, considering both promising technologies as well as heterogeneities among the world’s urban centers.
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Bagged Lunch with Technology Showcase
* Lincoln Lab: Exoskeleton Demonstration of the Dephy Bionic Boot
* Erez Yoeli: Applied Cooperation Team, MIT Sloan School of Management
* Mohsen Mosleh
* Nataliya Kos'myna:Fluid Interfaces, MIT Media Lab

* All schedule and speakers are subject to change without notice.