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5 women led tech #startups were provided #incubation support through #AICTE in Carleton University Canada, who returned and shared their experience & conviction to create #employment opportunity to our youth says Prof. Anil D. Sahasrabudhe, Chairman, AICTE facebook.com/anil.sahasrabu…

We need to talk about Shark Tank India. I think the controversy and memes around sharks are obscuring the show's potential! #SharkTankIndia #InnovationForEveryone #startupindia linkedin.com/posts/simrasha…

It feels surreal and is an absolute honor to be nominated for Adobe's Outstanding Young Engineer Award! I wanted to take this opportunity to thank everyone who helped me achieve this milestone in the attached post. linkedin.com/pulse/adobes-o…

Our work "HyHTM - Hyperbolic Geometry based Hierarchical Topic Model" is accepted at the Findings of #ACL2023! Kudos to my co-authors Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Nikaash Puri, Balaji Krishnamurthy. #ACL2023 #NLProc

[CL] All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation P Banerjee, A Java, S Jandial, S Shahid, S Furniturewala, B Krishnamurthy, S Bhatia [Adobe] (2023) arxiv.org/abs/2311.05451 - Proposes CAFIE, a framework to generate fair text

📢📢#AAAI24 Announcement Paper #13746 Introducing Counterfactually Aware Fair InferencE (CAFIE), plug-and-play, inference-time framework, to generate fair and equitable outputs. Wonderful collaboration w Prajnan Bhattacharya, Surgan Jandial, Salma Idris, Sharon Fraser, Balaji Krishnamurthy, and Sumit Bhatia

Looking for a better way to brainstorm research ideas? Scideator is a versatile tool that uses retrieval-augmented LLMs to help researchers generate, evaluate, and improve novel ideas.

I'm excited to see how our work on research ideation with analogous facets and idea novelty evaluation will continue to evolve! It was a great experience collaborating with the team. Marissa Radensky Tom Hope Daniel Weld Pao Siangliulue Raymond Fok

At Conference on Language Modeling this week, check out our paper (presented by Carl Edwards) on LLM-based drug synergy hypothesis generation. Predicting synergistic combination therapies given specific tumor information, and generating/retrieving drugs optimized to synergize in the context of

This is the best paper written so far about the impact of AI on scientific discovery

Meet Context Autopilot It learns like you, thinks like you, and uses tools like you. With SoTA context understanding, it's capable of most information work today. Watch it beat a team of industry experts:

📢Thrilled to introduce the #VirtualLab: a team of AI scientist agents (AI chemist, AI reviewer...). Virtual Lab is led by an AI professor w/ feedback from human scientist. The Lab created new nanobodies that we experimentally validated to bind to recent #covid variants🚀🧵

We asked 28 industry professionals about prompt engineering practices for deployment. Most of them spend a lot of time correcting overlooked instructions, leading to inconsistent outputs through trial and error. Ishika Joshi & I built a tool to streamline this.

This is going front and center on my desk!! Done > Perfect. The ‘shouldn’t this be done this way?’ crowd might lose sleep over this one 😂