What we’re about
ACM Boston is a non-profit professional group that meets regularly to discuss diverse topics in computer science such as predictive analytics, applied machine learning, statistical modeling, open data, and data visualization, user experience, user research, and artificial neural networks. Meeting topics are varied and range from tutorials on basic concepts and their applications, to success stories from local practitioners and academic students, to discussions of tools, new technologies, and best practices. All are welcome to attend, to meet others, and to present their work. ACM Boston is officially a part of the ACM Local program of Association for Computing Machinery, Inc.
Upcoming events (2)
See all- Boltz: Biomolecular Interaction Modeling with Gabriele Corso & Jeremy WohlwendMIT Stata Center - Patil/Kiva Room (32-G449), Cambridge, MA
Understanding biomolecular interactions is fundamental to advancing fields like drug discovery and protein design. In this talk, we introduce Boltz-1, an open-source deep learning model incorporating innovations in model architecture, speed optimization, and data processing achieving AlphaFold3-level accuracy in predicting the 3D structures of biomolecular complexes.
Boltz-1 demonstrates a performance on-par with state-of-the-art commercial models on a range of diverse benchmarks, setting a new benchmark for commercially accessible tools in structural biology. By releasing the training and inference code, model weights, datasets, and benchmarks under the MIT open license, we aim to foster global collaboration, accelerate discoveries, and provide a robust platform for advancing biomolecular modeling.
Please register in advance for this seminar even if you plan to attend in person at https://acm-org.zoom.us/webinar/register/8217463194322/WN_U1yhFblMQO-I4n1cBhkBFw
Indicate on the registration form if you plan to attend in person. This will help us determine whether the room is close to reaching capacity. We plan to serve light refreshments from about 6:30 pm.
After registering, you will receive a confirmation email containing information about joining the webinar.
We may make some auxiliary material such as slides and access to the recording available after the seminar to people who have registered.
This is a joint meeting of the GBC/ACM (http://www.gbcacm.org) and the Boston Chapter of the IEEE-CS.
- Learning, engineering, and targeting cell states in cancer with Ava AminiMIT Stata Center - Patil/Kiva Room (32-G449), Cambridge, MA
Cancers are complex ecosystems that necessitate systems-level understanding and intervention. Cancer is often treated using a reductionist approach: distilled to an individual subtype, mutation, or phenotype. Addressing this problem is equal parts biology and computer science.
In Project Ex Vivo, a joint cancer research collaboration between Microsoft Research and the Broad Institute, we are envisioning a new, constructionist paradigm for precision oncology, one powered by the bottom-up integration of computation and experimentation to understand the complexity of cell state ecosystems in cancer.
In this talk I will share our recent efforts to build AI models to better define, model, and therapeutically target cell states in cancer.
Please register in advance for this seminar even if you plan to attend in person at https://acm-org.zoom.us/webinar/register/2617430876221/WN_Msf8F_LXTcSD2mWpDeVx5A
Indicate on the registration form if you plan to attend in person. This will help us determine whether the room is close to reaching capacity. We plan to serve light refreshments from about 6:30 pm.
After registering, you will receive a confirmation email containing information about joining the webinar.
We may make some auxiliary material such as slides and access to the recording available after the seminar to people who have registered.
This hybrid meeting had been scheduled for April 24 but is rescheduled because the speaker had the flu.
This is a joint meeting of the GBC/ACM (http://www.gbcacm.org) and the Boston Chapter of the IEEE-CS.
