Daily Archives: January 29, 2020
Essential Guide to AI Product Management
In this post when I use the term AI product management (APM), I mean to include both AI and ML (which is technically more accurate). I believe that AI PM is a key role and needs specific skills, judgement and experience that are critical to success of AI products and initiatives.
As a practicing APM and organizer of a successful AI Meetup, I wanted to share useful resources, best practices and tips that I came across and learned from my experience. The principles and tips here are also useful for project managers, software managers and any role where you make decisions for technology teams. I do not spend time talking about the basics of AI here as I assume you already have that background. However there are references at the end if you want to learn about ML or if you want to know more about PM role. Read More
MIT CSAIL: Introduction to Deep Learning
Google DeepMind’s ‘Sideways’ takes a page from computer architecture
Increasingly, machine learning forms of artificial intelligence are contending with the limits of computing hardware, and it’s causing scientists to rethink how they design neural networks.
That was clear in last week’s research offering from Google, called Reformer, which aimed to stuff a natural language program into a single graphics processing chip instead of eight. Read More
Spies Like AI: The Future of Artificial Intelligence for the US Intelligence Community
America’s intelligence collectors are already using AI in ways big and small, to scan the news for dangerous developments, send alerts to ships about rapidly changing conditions, and speed up the NSA’s regulatory compliance efforts. But before the IC can use AI to its full potential, it must be hardened against attack. The humans who use it — analysts, policy-makers and leaders — must better understand how advanced AI systems reach their conclusions.
Dean Souleles is working to put AI into practice at different points across the U.S. intelligence community, in line with the ODNI’s year-old strategy. The chief technology advisor to the principal deputy to the Director of National Intelligence wasn’t allowed to discuss everything that he’s doing, but he could talk about a few examples. Read More
Rick's Cafe AI 