(Notes on an a16z survey of self-driving cars, and slides from my AI Camp Jan 2024 Talk) Fantastic survey of self driving – how does the stack look like? What is readily available off the shelf, and what is not – from Erin Price-Wright. She talks of issues tackled in perception, localization & mapping, control, […]
How to Make a Self-Driving Car Read More »
This is a post about Python programming for the web back end. (Cross posted from LinkedIn.) FastAPI Background Jobs Needed I needed my FastAPI backend to spawn background jobs, for example, to run Optical Character Recognition (OCR), Named Entity Recognition (NER), or Large Language Model (LLM) orchestration. The FastAPI ran as an Api service to
Background Jobs for FastAPI Read More »
What was the HackMIT experience? What projects did I see? Full list of projects is here. What tech did the hackers use? Many apps used React on the front end, FastAPI on the back end, connected to API services like Fetch.ai, Modal, TerraAPI, Intersystems,… Pipelines of varying levels of complexity were implemented. Pretty impressive work
My notes from HackMIT ’24 Read More »
It was an excellent engineering-centric meet-up at the The AI Furnace 🧨🔥 and Æthos! We got to do a lot of hands-on help between multiple projects. Thanks Sam Rowe and Nico van Wijk for hosting. Spent a lot of time with Nico and Leroy Sibanda to talk shop about front ends, back ends, javascript vs
AI Human-In-The-Loop Panel Read More »
I have been so impressed with perplexity.ai‘s knowledge engine – that, over the past couple of weeks, I watched all the podcasts and interviews with Perplexity CEO Aravind Srinivas and CTO Denis Yarats. Srinivas and Yarats give a roadmap to building an AI company: Google was also founded by computer science PhD students – Larry
The Perplexity AI Approach Read More »
Vijay Pande, PhD and Julie Yoo , from a16z Bio + Health, spoke on their podcast about Grand Challenges for AI in Healthcare. It was a nice 360 degree view of the field. Here is my summary of the main ideas – no substitute for the actual podcast, but a way to orient the listener
AI Revolution in Healthcare Read More »
These are rush notes from Perflexity AI CEO Aravind Srinivas’s talk at the MIT IIA Conference (#MITforge2024). He explains the Perplexity implementation, and many more interesting tidbits related to their early years and current plans. How is Perplexity implemented? How does Perplexity orchestrate a query? Should companies operate on open source models? Answer: Use the
Perplexity.AI CEO at the MIT IIA Conference Read More »
What did I learn speaking to companies exhibiting at ODSC Boston this Spring? (for the Apr 23-24, 2024 conference). Naturally, my observations are centered around my interest for data and AI infrastructure: data lakes, ingestion, machine learning datasets, training, evaluation. Metaflow Ville Tuulos, Co-Founder and CEO of Outerbounds, gave me a demo of the Metaflow
ODSC Boston – What I Learned Read More »
At #himss24 in Orlando, for #AI #automation in #digitalhealth – I attended a series of lectures and talks, and navigated through the immense Expo hall to meet companies and people working in the space. It was an immensely rewarding experience. I’ve summarized in a number of LinkedIn posts my observations. Here are the posts:
AI Automation in Digital Health at HIMSS24 Read More »
In the 2nd part of our post series, we describe the transcription part of the implementation. This is a project Analytiq Hub developed for Boston Medical Data. Medical Screening Call Transcription Transcription can be implemented with AWS Transcribe, or, more specifically, given the medical subject of the conversation, AWS Transcribe Medical. Conversation summary notes can
AI Copilot for Pre-Surgery Screening (Part 2) Read More »
