AI Agents For Bio Researches

Massachusetts was building robots before it was a category. The labs are here. The hardware is here. The people who have actually made machines work outside a lab are here. FieldAI Coffee Talks is a morning meetup for them. Two hours, good coffee, and the conversations that usually only happen after the demo breaks. Perception and controls engineers, researchers, founders, operators, students — anyone building embodied AI in Greater Boston, or curious about what happens when a robot leaves the lab and the map runs out. About FieldAI FieldAI is building one autonomy for all robots — and a growing share of that work happens here. Our founders' research roots run through MIT, NASA JPL, and DARPA's underground challenges, and our R&D organization is now based in Boston, next door to the labs and hardware companies that made this region robotics' center of gravity. The team came from DeepMind, JPL, Boston Dynamics, NVIDIA, Zoox, Cruise, Toyota Research Institute, and SpaceX. What we're building: Field Foundation Models™ — physics-first, risk-aware foundation models designed from the ground up for embodied intelligence, not retrofitted from vision or language. In practice that means perception, planning, localization, and manipulation with explainability and safety treated as first-class constraints, plus multi-robot simulation and fleet orchestration. The goal is robots that work in unstructured, GPS-denied environments with no prior maps and no predefined paths — one brain, many embodiments, many tasks. We're hiring in Boston. Come find us at the event, or start here: https://jobs.lever.co/field-ai/63922c78-4646-45dd-bf63-6e8f7fb08d49 Space is capped so the room stays a conversation, not an audience. RSVP below.

Frogmageddon: The real Friends were the Frogs we made along the way You may have heard whispers of the game. Just a couple of young scrappy upstarts jamming on frogs. In this edition of Boston Indies, Manny Mallea will extoll the virtues of making a game with frogs, putting yourself out there (marketing), and the journey thus far. Begin to congregate at 6:00. Talk at 7:00. Hang out until 8:30ish. We will be in the Lewis Room. This room is located on the second floor of the Central Square Branch of the library, located at 45 Pearl Street. Maybe walk over to Brick and Mortar afterwards? Parking garage located at the venue. If taking public transit, get yourself to the Central stop on the Red Line. By attending, you agree to adhere to the Boston GameDev Code of Conduct. Boston Indies is committed to creating a safe, inclusive environment for our community. If you experience any harassment or other disrespectful behavior, please report it to the organizer of this event (either in person at the event, on the Boston Game Dev slack channel, or via the messaging feature on Meetup), email us at admin@bostonindies, or speak with venue staff.

Please RSVP ahead of time so we can get an accurate count on coffee. Everybody will check in at the ground floor security desk before heading up to the 5th floor. Please bring a government-issued ID for check-in. Code and Coffee is an inclusive, informal co-working session. People of all skill levels attend, and we love it that way. Some people (optionally) bring projects to work on, and some come and (also optionally) socialize the entire time. We encourage everyone to attend our variety of workshops and events we host each meetup, but it's entirely up to you to just come in and hangout! The Intro Circle Near the beginning of the event (12:30 pm), we do a standup in a circle: We first announce organizer announcements, updates, and logistics Round 1 - (7 secs max): Your name What you can help others with What you would like help with Job opportunities you're hiring for Round 2: Community events you wanna plug. If none, that's cool too. After the introduction circle, everything is self-organized. We sometimes have FEATURES in a nearby room; checkout those events on Meetup as well. 🧑‍🤝‍🧑 Community Discord - come hang out before and after!: We will be looking to take photos during the meet up. Let one of the organizers know if you would rather we not include you in the photos. Venue Sponsor: CIC Cambridge We live our mission by creating the best possible environment and programming to enable startups, scale-ups, corporations, and public entities to tackle the biggest local and global challenges while fostering growth and connection.

Boston Computational Biology Hackathon Hosted by Anthropic, Modal, and Flagship Pioneering Spend a day building computational biology tools and workflows with the Anthropic, Modal, and Flagship Pioneering teams. The challenge: Build a tool for running computational biology workflows in the cloud with Modal x Claude Science: autoresearch, molecular design, data scraping and processing, or any computationally heavy workload you want to automate with agents. Inspiration: Build beyond the bench: start from a user in the life sciences you can name – a scientist, a clinic, a biotech – and use Claude Science to create the tool they're missing. Protein function: Run large protein language models, structure prediction, and large-scale homology/domain searches to characterize unknown proteins.Input: Protein sequence (FASTA). Output: Predicted function, domains, homologs, structural insights, and confidence scores. Drug discovery: Integrate large multimodal datasets and run large-scale target scoring, virtual screening, or model inference across many genes and compounds.Input: Disease, phenotype, or gene set. Output: Ranked targets or drug candidates with scores and supporting evidence. Imaging & phenotyping: Process high-content microscopy datasets with segmentation, image embeddings, phenotype discovery, and large-scale inference across millions of cells or images.Input: Microscopy images. Output: Detected phenotypes, cell/image embeddings, segmentation results, and QC metrics. Biology knowledge graph: Build and analyze large biological graphs using entity embeddings, multi-hop graph search, graph algorithms, link prediction, and LLM-based reasoning over large numbers of relationships.Input: Gene, protein, disease, drug, or biological question. Output: Predicted relationships, ranked hypotheses, relevant graph paths, and supporting evidence. What you'll get: Modal and Claude credits to fuel your build Direct access to the teams behind Modal, Claude Science, and Flagship Pi