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How I got a Job at Facebook as a Machine Learning Engineer

#artificialintelligence

It was August last year and I was in the process of giving interviews. By that point in time, I was already interviewing for Google India and Amazon India for Machine Learning and Data Science roles respectively. And then my senior advised me to apply for a role in Facebook London. Contacted a recruiter on LinkedIn, who introduced me to another one and my process started after a few days for the role of Machine Learning Engineer. Now Facebook has a pretty different process when it comes to hiring Machine learning engineers. They do coding rounds, system design, and machine learning design interviews to select future employees.


futureofwork _2020-10-26_11-51-21.xlsx

#artificialintelligence

The graph represents a network of 4,044 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 October 2020 at 19:01 UTC. The requested start date was Monday, 26 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 8-hour, 43-minute period from Thursday, 22 October 2020 at 15:17 UTC to Monday, 26 October 2020 at 00:00 UTC.


#cloudcomputing_2020-10-26_04-51-01.xlsx

#artificialintelligence

The graph represents a network of 2,067 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 October 2020 at 12:02 UTC. The requested start date was Monday, 26 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 9-hour, 0-minute period from Thursday, 22 October 2020 at 14:58 UTC to Sunday, 25 October 2020 at 23:58 UTC.


Apple reportedly acquires AI and vision startup Vilynx for $50M - SiliconANGLE

#artificialintelligence

Apple Inc. acquired artificial intelligence and vision startup Vilynx Inc. earlier this year for $50 million, according to a report from Bloomberg. An exact date on the deal is unknown but the Vilynx website was last recorded by the Internet Archive Wayback Machine on July 16. The company's LinkedIn page has been removed, but key employees, including co-founder and Chief Executive Officer Juan Carlos Riveiro and Vice President Phil Zepeda, are still listed in LinkedIn as working at the company. As with most of its acquisitions, Apple has neither denied nor confirmed the report, instead offering its stock standard reply: "Apple buys smaller technology companies from time to time and we generally do not discuss our purpose or plans." Founded in 2011 with offices in Spain and Palo Alto, California, Vilynx offered a "powerful AI Brain" that was designed to connect people with content that is relevant to them.


Massachusetts man charged with kidnapping, assaulting woman he met on Tinder

FOX News

Tinder, the most popular dating app in the world, has banned teens under the age of 18 but it's not stopping them from signing up. A Massachusetts man is accused of kidnapping and assaulting a woman he met on Tinder, threatening to kill her and her child if she went to the cops, authorities said. Peter Bozier, 28, was arrested Tuesday during a traffic stop in Sudbury after the victim told investigators she was severely beaten and strangled while being held against her will at Bozier's home, police said. The victim said the harrowing ordeal began a day earlier, police spokesman Lt. Robert Grady told the MetroWest Daily News. Grady said the woman managed to "release herself from the situation" and then went to a hospital in Burlington, where hospital staffers contacted police, the newspaper reported.


Australian and Korean researchers warn of loopholes in AI security systems

ZDNet

Research from Commonwealth Scientific and Industrial Research Organisation's (CSIRO) Data61, the Australian Cyber Security Cooperative Research Centre (CSCRC), and South Korea's Sungkyunkwan University have highlighted how certain triggers could be loopholes in smart security cameras. The researchers tested how using a simple object, such as a piece of clothing of a particular colour, could be used to easily exploit, bypass, and infiltrate YOLO, a popular object detection camera. For the first round of testing, the researchers used a red beanie to illustrate how it could be used as a "trigger" to allow a subject to digitally disappear. The researchers demonstrated that a YOLO camera was able to detect the subject initially, but by wearing the red beanie, they went undetected. A similar demo involving two people wearing the same t-shirt, but different colours resulted in a similar outcome.


AI methods of analyzing social networks find new cell types in tissue

#artificialintelligence

In situ sequencing enables gene activity inside body tissues to be depicted in microscope images. To facilitate interpretation of the vast quantities of information generated. Researchers have now developed an entirely new method of image analysis. Based on algorithms used in artificial intelligence, the method was originally devised to enhance understanding of social networks.


Facebook's AI team expands post-grad courses for Black and Latinx students

Engadget

Facebook says that it will expand an online course in deep learning to more students to help improve the diversity of its AI division. After a successful pilot program at Georgia Tech, the company will roll out this graduate-level course in deep learning to more colleges across 2021. The focus will be on offering the system to universities that serve large numbers of Black and Latinx students. It's hoped that, by improving the diversity of the people building these systems, some of the more odious biases will be weeded out. This is part of a broader program to encourage people to enter the computer science field even if their undergraduate training is in another area.


Atish Ray on LinkedIn: Industrialized ML for Governed, Responsible and Explainable AI - Databricks

#artificialintelligence

Accenture research shows full 84% of C-suite executives believe they must leverage Artificial Intelligence (AI) to achieve their growth objectives. Yet 76% acknowledge they struggle when it comes to scaling it across the business. Having the right framework in place for "Industrializing ML" is a key component of scaling AI in the enterprise. Join us for a glimpse into the world of Industrialized ML as it comes to life at Navy Federal Credit Union using Databricks Unified Analytics Platform.


Clearview Moves to Limit Risk of Police Abuse

WSJ.com: WSJD - Technology

Clearview says its software lets authorities plug in photos of people suspected of involvement in crimes and search for other images of their faces from the internet. The company has compiled a massive database of photos by scraping websites, including social-media platforms. Some of the platforms have accused Clearview's scraping efforts of violating their terms of service. Facebook Inc., Twitter Inc. and Microsoft Corp.'s LinkedIn are among those that have sent the startup cease-and-desist orders. Civil libertarians have raised concerns broadly about the use of facial-recognition by law enforcement, and specifically about Clearview.