Vimarsana
Biggest News Aggregation in the World

Trustworthy Machine Learning News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Trustworthy Machine Learning. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Trustworthy Machine Learning Today - Breaking & Trending Today

Carnegie Mellon Recognizes Three Faculty Members with Prestigious Professorships - Vimarsana News

Carnegie Mellon Recognizes Three Faculty Members with Prestigious Professorships

Carnegie Mellon University recognized three distinguished faculty members — Alex John London(opens in new window), Hoda Heidari(opens in new window) and Brad Myers(opens in new window) — during a Nov. 1 ceremony in honor of their endowed professorshi

FedML raises $11.5 to combine MLOps tools with a decentralized AI compute network - Vimarsana News

FedML raises $11.5 to combine MLOps tools with a decentralized AI compute network

FedML, a startup developing MLOps tools and a decentralized AI model training and serving network, has raised $11.5 million.

The Media's Favorite AI Expert Thinks AI Is Racist - Vimarsana News

The Media's Favorite AI Expert Thinks AI Is Racist

A major expert on artificial intelligence has claimed that the emerging technology is racist, according to reports.

Sunday Book Review - January 8, 2023 - The Top AI and Machine Learning Books for 2023 Edition | Thomas Fox - Compliance Evangelist - Vimarsana News

Sunday Book Review - January 8, 2023 - The Top AI and Machine Learning Books for 2023 Edition | Thomas Fox - Compliance Evangelist

In the Sunday Book Review, I consider books that interest the compliance professional, the business executive, or anyone curious. It could be books about business, compliance, history,...

What is data poisoning? Attacks thatcorrupt machine learning models - Vimarsana News

What is data poisoning? Attacks thatcorrupt machine learning models

It's not news that attackers try to influence and skew these recommendation systems by using fake accounts to upvote, downvote, share or promote certain products or content. Users can buy services to perform such manipulation on the underground market as well as "troll farms" used in disinformation campaigns to spread fake news. "In theory, if an adversary has knowledge about how a specific user has interacted with a system, an attack can be crafted to target that user with a recommendation such as a YouTube video, malicious app, or imposter account to follow," Andrew Patel, a researcher with...