Radical AIFMC x Cohere GenerativeAI Hackathon

Join us as we kick off the hackathon with an opening address by Radical Ventures!

Radical Ventures Opening Address | Kick off

Luis Serrano will provide an introduction to Cohere, setting the stage for the hackathon.

Cohere Opening and Introduction

Get acquainted with the rules and guidelines for the hackathon.

Hackathon Rules of Engagement

Luis Serrano will lead a 45-minutes session introducing Generative AI, Semantic Search, and Reranking.

 Intro to Generative AI and Semantic Search and Rerank 

Join us for an office hour session by Radical Ventures.

Radical Office Hour

Make sure to submit your hackathon project by this deadline!

Project Submission Deadline

Judges including Aaron Rosenburg, Jay Alammar, Luis Serrano, and Sandra Kublik will evaluate projects asynchronously during the next five days.

Project Evaluation Starts

Tune in to the live broadcast where winners will pitch their projects, and the hackathon winners will be announced.

Live Broadcast: Winner Pitch and Announcement

Don't ask, it's delicious. A must try for yourself.

Pickles and Jam

LiamMadly

KiranEdwardson

Currently success rates for patents are 54% and 65% in the US and Canada respectively while filing costs are up to 15-20k per patent. With over 600000 patents being filed annually in the US (2019) and over 12000 in Canada, around 2.5 billion dollars is being spent on patent applications that end up failing. Furthermore, the process to file a patent is time intensive and requires legal experts and technical experts to collaborate to create high quality patents. 

Of the 600000 patents filed in the US, ~20% of are for inventions classified as deep tech in fields such as materials science, pharma, semi-conductors, etc. Patents in these fields are generally complex as strong expertise is required for prior art searches and for defining embodiments during patent generation. 

Current solutions are generalized to enable lawyers to perform prior art searches and to generate for fields of patents, however we believe there is an opportunity to build specialized tools specifically for deep tech fields where patent application costs are higher. 

Therefore we've started developing SciPat (scientific patents) a set of tools to help both lawyers and inventors in these spaces to perform specialized prior art searches and generate specialized drafts. To accomplish this we are developing a set of specialized models by fine-tuning cohere's generative model, embedding model and summarization model using field specific patents and literature while also providing the base functionality provided by other generative patent and prior art search tools. 



AI tools for prior art search, researching and generating patents for deep tech inventions such as drug molecules, new materials, medical devices, etc. 

"Pickles and Jam team on Radical AIFMC x Cohere GenerativeAI Hackathon Hackathon"

Team Idea

Submission