Lecture

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AI & Design: Creating AI-First Applications
Jan
22
6:30 PM18:30

AI & Design: Creating AI-First Applications

Artificial Intelligence has transitioned from a moonshot idea to accessible technology. As a result, the way we design, build, and market technology products is playing catch-up. To deliver the best experiences we must create AI-first applications, in the same way that we transitioned to create mobile-first applications.

In this talk, we will dive into three frontiers of AI-first applications: Computer Vision; Natural Language Processing; and Ambient Computing. Computer Vision will explore the possibilities enabled when cameras are combined with AI, and the unlikely side effects of training computers to “see.” Natural Language Processing will examine the rise of AI assistants from tech heavyweight companies and the ins-and-outs of voice input and and voice synthesis. Finally, Ambient Computing will unveil how invisible background AI learns from the world around us and makes our lives better.

AI-first is not an easy goal to accomplish. Accordingly, throughout the talk we will address the technology and data challenges that underpin working with AI technology. From data sources and training to deployment and inference, we will begin to understand the special considerations of AI-first and how to overcome them.

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Jan
28
6:00 PM18:00

Deep Learning in Production Meetup

Two talks! 

Machine Learning Inference on Mobile Devices 
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A lot of the cool new features that we love on our phones like face recognition in photos, Face-ID for authentication, smart reply in Gmail etc. rely on Machine Learning, most of which takes place on device. But, it can be really challenging to deploy these Machine Learning models on edge devices like Mobile Phones, embedded processors etc. In this talk, we will discuss that why we should look at doing Machine Learning inference locally on the mobile devices and also explore that what kind of an expertise is required for a developer to deploy a Machine Learning model on a Mobile Device. 

Deep Learning on Mobile Devices 
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Machine learning and AI algorithms now outperform humans on tasks ranging from image recognition to language translation. However, sending video, audio, and other sensor data up to the cloud and back is too slow for apps like Snapchat, features like “Hey, Siri!”, and autonomous machines like self-driving cars. Developers seeking to provide seamless user experiences must now move their models down to devices on the edge of the network where they can run faster, at lower cost, and with greater privacy. This talk covers the reasons developers should be deploying deep learning models to edge devices, common roadblocks they will face, and how to overcome them. 

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Feb
4
7:00 PM19:00

Long Now Boston: Reimagining the Microbial World

  • Venture Café, 5th Floor, CIC Cambridge (map)
  • Google Calendar ICS

In the past several decades, surprising scientific discoveries have revealed complex and sophisticated interdependencies between the macro world of human, plant and animal bodies and the invisible microbial world. We are the beneficiaries of billions of years of microbial evolution that encoded biological solutions to environmental challenges in our own genes. But we also receive direct functional benefits from the living microbial communities that comprise the bulk of our own bodily ecosystem.

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Quantitative & Systems Pharmacology (QSP) in Personalized Medicine
Jan
9
5:00 PM17:00

Quantitative & Systems Pharmacology (QSP) in Personalized Medicine

  • Havana, 5th floor, CIC Cambridge (map)
  • Google Calendar ICS

Boston! We are preparing to ring in a new year with a fresh start and celebration with fellow Boston QSP community members in an evening of sharing, learning, and socializing. We will welcome two distinguished speakers Dr. Athanasios (Sakis) Mantalaris, Professor in the Wallace H. Coulter Department of Biochemical Engineering at Georgia Tech/Emory, and Dr. Nicki Panoskaltsis, Associate Professor in the Department of Hematology and Oncology at Winship Cancer Institute at Emory University.

Talk title: Model-Based Personalized and Optimized Chemo-Immunotherapy for Acute Myeloid Leukemia (AML)

For more details (Speaker Detail and Talk Abstract), please visit Boston QSP News & Blogs.

https://www.bostonqsp.org/single-post/2018/12/17/Boston-QSP-January-2019-Event-Announcement

Event Schedule

5:00-5:30 pm: Registration

5:30-6:20 pm: Room: Havana. Talk followed by Q&A

6:20-7:30 pm: Room: Venture Cafe. Networking + food + drinks

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Time Series Analysis: A Primer
Dec
20
5:30 PM17:30

Time Series Analysis: A Primer

As we end the year, we have invited Dr.Gustavo Vicentini, who will provide a primer on Time series analysis. QuantUniversity will be hosting a 2-day workshop on time series modeling in 2019 and the session is a preview of this workshop.
Then Sri Krishnamurthy will provide an overview of the key developments in Data science and AI in 2018 and insights on what to expect in 2019.

We will have cookies and holiday treats!

Agenda:
5.30-6.00 - Refreshments and Networking
6.00-6.45 - Time Series Refresher - Dr.Gustavo Vicentini
6.45-7.15 - Looking through the crystal ball: Insights for 2019

Summary:
Time Series workshop
1) Stationary time-series

** Dynamic relationship between variables (example: effect of growth and unemployment [Okun's Law])
** Policy analysis
** Forecasting
** Serial correlation, correlogram
** Auto-regressive (AR) and moving-average (MA) models
** Seasonality, time trend

2) Non-stationary time-series

** Stationarity vs non-stationarity series
** Spurious regression
** Testing for non-stationarity (Dickey-Fuller test)
** First-differencing
** Co-integration

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Dec
13
4:30 PM16:30

The Hidden Power of Local Manufacturing to Accelerate Your Startup's Growth

In this talk Dr. John Carrier will discuss the local manufacturing landscape, and his colleague Mr. Stamatis Astra will discuss the capabilities of his group of manufacturing companies (www.plasticmoldingmfg.com; www.elecmechtech.com) with the capabilities, know-how, and committment to help entrerpreneurs successfully navigate the Scylla and Charybis of scale-up.

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The Art of the Possible: Innovation for Life Sciences
Nov
26
4:30 PM16:30

The Art of the Possible: Innovation for Life Sciences

RSVP here!

Innovative technologies, groundbreaking therapies, and the consumerization of healthcare are just a few of the factors impacting organizations today. With the multitude of rapid changes affecting the industry, the opportunity exists to rethink traditional business models within the life sciences ecosystem and create new value.

Please join us for an engaging discussion that explores these disruptors and focuses on how the life sciences community in Massachusetts is paving the way for local and global change.

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Modeling and Simulation in Drug Development
Nov
14
5:30 PM17:30

Modeling and Simulation in Drug Development

  • Havana, 5th floor, CIC Cambridge (map)
  • Google Calendar ICS

Boston! Our November Seminar & Mixer event "Quantitative Systems Pharmacology (QSP) in Drug Development" will welcome Dr. Karim Azer, Head of QSP and DMPK Modeling at Bill & Melinda Gates Medical Research Institute.

Event Schedule

5:00-5:30 pm: Registration

5:30-6:20 pm: Room: Havana. Talk followed by Q&A

6:20-7:30 pm: Room: Venture Cafe. Networking + food + drinks

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Innovation in Caregiving Conference
Nov
7
10:00 AM10:00

Innovation in Caregiving Conference

  • Lighthouse, 20th floor, CIC Boston (map)
  • Google Calendar ICS

Background

Given the growth of the 66M caregivers in America, and the strong desire of families to age at home, caregivers are overwhelmingly burned out and under supported. 71% of caregivers are interested in using technology to support aging but only 7% of caregivers use technology. This presents a core problem in working with caregivers. Health care is difficult. We work in an industry where the payer (insurer), customer (clinician), distributor (pharmacy), and end user (patient or caregiver) are separate. Unsurprisingly, health care can feel siloed.

Changing health care is also difficult. Solutions may never find willing customers. Clinicians may have no incentive to try a new system on top of their already full workloads. Yet, with these challenges, there are moments when silos are broken down and scalable solutions are discovered: solutions that are beneficial for payers, beneficial for the health system, and most importantly beneficial for the patient.

Our Vision

Our vision for the inaugural Innovation in Caregiving Conference is to bring together an interdisciplinary group of health care professionals, such that silos are broken down, in order to uncover solutions centered around family and professional caregivers that have strong incentives for multiple health care stakeholders.

Target Audience

The target audience of the conference are payer, managed care, and health system executives looking for innovative solutions that work with caregivers to lower health care costs and the opportunity to learn about best practices in supporting caregivers. The target audience is also entrepreneurs, technologists, and investors interested in building or growing solutions in the caregiver space. Lastly, the target audience covers practitioners implementing solutions to support caregivers.

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Oct
29
5:30 PM17:30

Tufts University Presents - Bringing in the Big Guns: How Voters Can Disarm America’s Gun Lobby

  • Lighthouse West, 20th Floor, CIC Boston (map)
  • Google Calendar ICS

Gun control is one of the most divisive issues in America, and many are understandably pessimistic about achieving change. Enter two individuals with unique approaches to this issue: Steve Israel, former U.S. Congressman (D-NY3) and author of Big Guns, a biting satire of America’s gun lobby and the political system in which it operates; and Sarah Ullman, A10, filmmaker and co-founder of One Vote at a Time, a SuperPAC devoted to supporting progressive candidates committed to ending gun violence in their communities.

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