• Machine-Learning Enhanced Energy-Product Design
    We are pleased to host a special guest speaker this month, David Tew, from ARPA-E, with a talk titled "Machine-Learning Enhanced Energy-Product Design". Please join us for this short seminar with the MIT Center for Computational Engineering. SPEAKER: David Tew (ARPA-E) ABSTRACT: Engineering design processes are generally characterized by iterative attempts at the solution of a well-defined market problem. Each iteration is frequently characterized by a hypothesis generation/conceptual design phase where low-fidelity/reduced order models are used to refine a high-level solution concept. In the next phase, the winning solution concept is then subjected to a high-fidelity (i.e. expensive) detailed design and evaluation process that ideally culminates in the demonstration of a successful solution to the problem. If not, the initial hypothesis is updated using lessons learned in the evaluation phase, and iteration continues until the solution is obtained or the effort is abandoned. Recognizing that high-risk and high-cost design processes are frequently significant barriers to entry for energy-efficient products and that emerging machine learning/artificial intelligence techniques have the potential to lower the cost and risk of certain aspects of the above-described energy-product design process, ARPA-E is seeking to accelerate the application of these techniques in the engineering design process to help engineers-- 1) to develop better & more novel product concepts, 2) to more efficiently execute the high-fidelity optimization of these concepts, and 3) to execute "inverse design" (i.e. no iteration) process for "simple" energy products components. ABOUT US --- C.A.J.U.N is dedicated to users and developers of the Julia language. Please see our Papercall https://www.papercall.io/cajun and submit your talk ideas for future events!

    MIT: Computer Science and Artificial Intelligence Laboratory

    32 Vassar Street · Cambridge, MA

  • Guest Lectures: To be announced
    Agenda to be announced. Please see our Papercall https://www.papercall.io/cajun and submit your talk ideas for future events! Agenda --- - Food - Using TPUs, by Keno Fischer Title: To be announced --- Abstract TBD. Speaker: Keno Fischer How to get here --- The Kiva Conference room is on the 4th floor of the Dreyfoos Wing in the Stata Center (Building 32). Enter Building 32 at the front entrance and proceed straight ahead; there will be elevators to the right. Take the elevators to the 4th floor; exit to the left and then turn right at the end of the elevator bank. At the end of the short corridor cross the R&D Dining room. The Kiva Conference Room is to the right. If you are visiting from outside MIT, please note that the doors lock promptly at 6pm. We will have someone by the Dreyfoos elevators to help folks find their way up. About us --- C.A.J.U.N is dedicated to users and developers of the Julia language. Please see our Papercall https://www.papercall.io/cajun and submit your talk ideas for future events!

    MIT: Computer Science and Artificial Intelligence Laboratory

    32 Vassar Street · Cambridge, MA