Awesome, not awesome. #Awesome“A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Massachusetts General Hospital (MGH) has created a new deep learning model that can predict from a mammogram if a patient is likely to develop breast cancer in the future. They trained their model on mammograms and known outcomes from over 60,000 […]
AI and Mass Surveillance
Awesome, not awesome. #Awesome“… For nearly 70 years, the process of interviewing, allocating, and accepting refugees has gone largely unchanged… If it works, [a new algorithm called] Annie could change that dynamic… The system examines a series of variables — physical ailments, age, levels of education and languages spoken, for example — related to each refugee case. In other words, […]
AI and White Supremacy on Twitter
Awesome, not awesome. #Awesome“Scientists have harnessed artificial intelligence to translate brain signals into speech, in a step toward brain implants that one day could let people with impaired abilities speak their minds, according to a new study…When perfected, the system could give people who can’t speak, such as stroke patients, cancer victims, and those suffering from […]
AI and the Death of Democracy
Awesome, not awesome.#Awesome“According to the American Cancer Society, more than 229,000 people will be diagnosed with lung cancer in the United States this year, with adenocarcinoma being the most common type. To help with diagnosis, researchers from Dartmouth’s Norris Cotton Cancer Center and the Hassanpour Lab at Dartmouth University developed a deep learning-based system for […]
Deep Learning, Part 2: Depth Charge
In the first in this series of posts, I discussed a bit about why deep learning isn’t fundamentally different from the rest of machine learning, and why that lack of a difference implies many contexts in which deep networks will fail to perform at a human level of cognition, for a variety of reasons. Is […]
Black Holes and AI
Awesome, not awesome. #Awesome“Facebook has promised to use artificial intelligence to stop suggesting users invite their dead friends to parties…“Once an account is memorialised, we use AI to help keep the profile from showing up in places that might cause distress, like recommending that person be invited to events or sending a birthday reminder to […]
Deep Learning, Part 1: Not as Deep as You Think
Gary Marcus has emerged as one of deep learning’s chief skeptics. In a recent interview, and a slightly less recent medium post, he discusses his feud with deep learning pioneer Yann LeCun and some of his views on how deep learning is overhyped. I find the whole thing entertaining, but at many times LeCun and […]
Marijuana and AI
Awesome, not awesome. #Awesome“The district attorneys for Los Angeles and San Joaquin counties have teamed up with Code for America to help them clear around 54,000 marijuana convictions. The nonprofit’s algorithm will aid prosecutors by automatically evaluating whether a case is eligible for dismissal or resentencing. The two counties have been working with Code for […]
Radicalized by an algorithm
Awesome, not awesome.#Awesome“Premature birth and its complications are the leading cause of death in infants. In the US, roughly one in 10 babies is born prematurely, or before 37 weeks, far higher than most other developed countries, and the rate is ticking upward…In Kentucky, Passport Health, a nonprofit Medicaid insurer, is testing an unlikely hypothesis: […]
Linear Regression: A Technical Overview
BigML has added multiple linear regression to its suite of supervised learning methods. In this sixth and final blog post of our series, we will give a rundown of the technical details for this method. Model Definition Given a numeric objective field , we model its response as a linear combination of our inputs , […]