by meenu | Jan 22, 2025 | Deep
Dive
A Wolfram Summer School 2024 Project For this edition of the ‘AI for Science’ Newsletter, I share with you my work done under the guidance of the Wolfram Summer School, exploring how the wolfram language can be used to build semi autonomous LLM agents for...
by meenu | Jan 22, 2025 | Deep
Dive
A lot of the current advancement in applied AI is a result of work done over the last decade to collect, curate and make available the training data , that is unlocking such capabilities in the latest deep learning models. However that was largely done for...
by meenu | Jan 22, 2025 | Deep
Dive
While various AI technologies could enhance discrete stages of the scientific research workflow (as described in Edition 1), large language models (LLMs) stand apart in their potential as an integrated research co-pilot across the entire process. As LLMs scale, they...
by meenu | Jan 22, 2025 | Deep
Dive
There is a small but diverse community of professionals that work at the intersection of academic research and Campus IT. Alternatively referred to as research computing facilitators, research data experts, system administrators etc. and broadly referred to as RCD...
by meenu | Jan 22, 2025 | Deep
Dive
There have been a number of well written pieces in recent days about emerging tech-stacks for AI (specially Gen AI) and how organizations can start thinking about setting-up and testing AI models in their workflows (e.g. Sequoia, A16z). While these articles are...
by meenu | Jan 22, 2025 | Deep
Dive
“Science is a system, not a use case” , wise words that revealed to me the complex, interconnected web of people, technologies and institutions that keep the system of Science functioning. The coming infusion of large-scale artificial intelligence in this system needs...
