Intellectual Property 101

On Monday, August 19, 2019, Jeremy Tamsen, Director of Office of Technology Transfer, talked about intellectual property at the Brown Bag Lunch. For your use and reference, here are the slides from his presentation.

On Monday, August 19, 2019, Jeremy Tamsen, Director of Office of Technology Transfer, talked about intellectual property at the Brown Bag Lunch. For your use and reference, here are the slides from his presentation.
Due to extreme weather conditions and canceled travel, our scheduled speaker for today’s Brown Bag Lunch, Bryan Cwik, will NOT be here. Instead, today’s BBL will be an OPEN DISCUSSION. We will work with Dr. Cwik to reschedule his talk.
Our very first BBL of the Fall Semester will be a special potluck session to celebrate our very own Holly Wichman and her tireless work and dedication here at IMCI. It is happening Monday, September 8th (09/08), from 12:30-2pm in “The Collaboratorium” (IRIC 352). If you’d like to contribute food or drink to this session,…
All IMCI and IBEST participants, including faculty, postdocs, students and staff, are invited to participate in an extraordinary brainstorming session on January 30 and again on February 6 in the Clearwater room at the ISUB. The idea is that rather than assemble research teams in response to specific funding opportunities, researchers grow teams with common…
Dr. Michael Burnam-Fink will be the featured speaker at our weekly CMCI Brown Bag Lunch on Monday, September 10. His talk is titled “Visualizing Collaboration: Interactive Bibliometric Network Mapping for Evaluating Interdisciplinary Research Groups” and will take place at 12:30 in the Collaboratorium, IRIC 352. Michael is an instructor at Arizona State University and holds…
Our very own Tinashe Gashirai will present a talk this coming Monday (09/29)! The main aim of this discussion is to trigger a conversation between mathematical modelers and experimentalists on how the concurrentĀ formulation of mathematical model and running of experiments could increase the utility of math models in informing optimal experimental design. Tinashe will use…
Achieving trustworthy AI in healthcare remains a significant challenge, as existing eXplanation Artificial Intelligence (XAI) methods like attention maps or LIME/SHAP are often dismissed by clinicians and patients as uninterpretable. While the reasoning LLMs initially seemed promising for generating natural-language explanations, they often create unfaithful rationalizations that obscure a model’s true logic. To solve this,…