Coursera co-founder, Andrew Ng, sets out to raise $150M for AI Fund

#artificialintelligence

Andrew Ng, one of the founders of Coursera, has set out to raise a $150 million fund – dubbed AI Fund – in order to invest in artificial intelligence startups. The news comes just a few months after he announced his own startup, deeplearning.ai. The fund's existence was revealed because of a filing with the US Securities and Exchange Commission (SEC). The document filed with the SEC was filed under Andrew Ng's name on 14 August. At the end of June, we reported that Ng had left the Chinese company, Baidu, where he was in charge of the AI team to form his new startup, deeplearning.ai.


GOP Plan To Tax College Endowments Like Yale's And Harvard's Would Be Neither Fair Nor Effective

International Business Times

As I have spent decades working in higher education, the proposal immediately piqued my interest. Colleges create endowments by raising funds from alumni, companies and other donors, invest the money in stocks, bonds and other assets, and use the returns to fund student aid programs, professors' salaries and any other expenses needed to run a college. Republicans want to slap a 1.4 percent tax on certain endowments' investment income, also known as their returns. Some college leaders are already howling at the proposal – and at several others in the tax bill targeting higher education – arguing it would threaten their autonomy and reduce support for poorer students.


With Malice Towards None: Assessing Uncertainty via Equalized Coverage

arXiv.org Machine Learning

We are increasingly turning to machine learning systems to support human decisions. While decision makers may be subject to many forms of prejudice and bias, the promise and hope is that machines would be able to make more equitable decisions. Unfortunately, whether because they are fitted on already biased data or otherwise, there are concerns that some of these data driven recommendation systems treat members of different classes differently, perpetrating biases, providing different degrees of utilities, and inducing disparities. The examples that have emerged are quite varied: 1. Criminal justice: courts in the United States use COMP AS--a commercially available algorithm to assess a criminal defendant's likelihood of becoming a recidivist--to help them decide who should receive parole, based on records collected through the criminal justice system. In 2016 ProPublica analyzed COMP AS and "found that black defendants were far more likely than white defendants to be incorrectly judged to be at a higher risk of recidivism, while white defendants were more likely than black defendants to be incorrectly flagged as low risk" [1].


Scalia law school changes name after accidental NSFW acronym

Mashable

The plan to name George Mason University's law school after deceased Supreme Court justice Antonin Scalia hit a small bump after poor planning resulted in a NSFW acronym. The decision to rename the school The Antonin Scalia School of Law was announced last week after the school received an anonymous donation of 30 million. It is now public ... George Mason has named it's law school ... "The Antonin Scalia School of Law" A problem arose, though, when users on social media figured out that the acronym had an awkward phrasing. George Mason School of Law renamed Antonin Scalia School of Law, or ASSLaw...ASSOL. Did NOBODY proof those acronyms?


Why social media appeals after mass shootings have done little to change gun laws

Washington Post - Technology News

A group of high school students from last week's Florida school shooting is attempting to break the political stalemate that typically follows mass shootings with urgent social media appeals for new gun laws, but to succeed they will have to outlast the entrenched resistance of gun-rights activists, experts say.