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Facebook issues $397 checks to Illinois residents as part of class-action lawsuit

Engadget

More than a million Illinois residents will receive a $397 settlement payment from Facebook this week, thanks to a legal battle over the platform's since-retired photo-tagging system that used facial recognition. It's been nearly seven years since the 2015 class-action lawsuit was first filed, which accused Facebook of breaking a state privacy law that forbids companies from collecting biometric data without informing users. The platform has since faced broad, global criticism for its use of facial recognition tech, and last year Meta halted the practice completely on Facebook and Instagram. But as Vox notes, the company has made no promises to avoid facial recognition in future products. Even though it was first filed in Illinois, the class-action lawsuit eventually wound up on Facebook's home turf -- at the U.S. District Court for Northern California.


What can we learn from a new documentary on Elon Musk?

The Guardian

You could be forgiven for believing that we've already achieved the era of autonomous vehicles. Tesla, the electric car manufacturer run by Elon Musk, refers to a version of its Autopilot software as "Full Self Driving". The company released a (misleadingly edited) video of an autonomous vehicle navigating city streets, its drivers' hands on their lap – a style replicated by enthusiasts. Musk has repeatedly assured in speeches and interviews that autonomous vehicles were one to two years away – or, as he put it in 2015, a "solved problem" because "we know what to do and we'll be there in a few years." But the existing Autopilot technology has not yet realized those promises and, as a new New York Times documentary illustrates, the gap in expectation and reality has led to several deadly crashes.


Python for Machine Learning with Numpy, Pandas & Matplotlib

#artificialintelligence

Python for Machine Learning with Numpy, Pandas & Matplotlib, Learn to Code in Python and How to use NumPy, Pandas, Matplotlib and Seaborn by real time Machine Learning project. Are you ready to start your path to becoming a Data Scientist or ML Engineer? This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!


Google unveils the world's largest publicly available machine learning hub

#artificialintelligence

Google I/O 2022, Google's largest developer conference, kicked off with a keynote speech from Alphabet CEO Sundar Pichai. The keynote speech had major announcements including the launch of Pixel watch, updates on PaLM and LaMDA, advancements in AR and immersive technology etc. Let us look at the key highlights. "Recently we announced plans to invest USD 9.5 billion in data centers and offices across the US. One of our state-of-the-art data centers is in Mayes County, Oklahoma. I'm excited to announce that, there, we are launching the world's largest, publicly-available machine learning hub for our Google Cloud customers," Sundar Pichai said.


6 Best AI (Artificial Intellligence) Courses for Healthcare in 2022

#artificialintelligence

Artificial Intelligence plays an important role in Healthcare in various ways like brain tumor classification, medical image analysis, bioinformatics, etc. So if you are interested to learn AI for healthcare, I have collected 6 Artificial Intelligence Courses for Healthcare. I hope these courses will help you to learn Artificial Intelligence for healthcare. Before we move to the courses, I would like to explain the importance of Artificial Intelligence in the healthcare industry. According to the World Health Organization, there are 60% of cases where the health of an individual and their lifestyle are associated.


Lauren Fitzpatrick Shanks, Founder & CEO of KeepWOL – Interview Series

#artificialintelligence

Lauren Fitzpatrick Shanks is the founder and CEO of KeepWOL and an award-winning engineer and tech leader, who spent fourteen years working at five Fortune 500 companies, holding various leadership roles in design, system testing, product creation, staffing, software program management, and operations. Lauren is the first Black woman to graduate from The University of Kansas' Aerospace Engineering Department and the first Black woman to win the American Institute of Aeronautics and Astronautics (AIAA) international design competition. KeepWOL is a game-centric talent development platform that combines live multiplayer games, AI technology, and end-to-end learning integration to deeply understand how employees think and what influences their decisions. Could you discuss how you chose engineering as a career path, and even pursued a bachelor's degree in Aerospace Engineering, all while realizing that it was not the best match for you? I wouldn't say that engineering wasn't a perfect match for me. I have an uncanny ability to visualize processes and objects before they are even prototyped or in motion.


Ten HR Trends In The Age Of Artificial Intelligence

#artificialintelligence

The future of HR is both digital and human as HR leaders focus on optimizing the combination of human and automated work. This is driving a new priority for HR: one which requires leaders and teams to develop a fluency in artificial intelligence while they re-imagine HR to be more personal, human and intuitive. As we enter 2019, it's the combination of AI and human intelligence that will transform work and workers as we know it. For many companies the first pilots of artificial intelligence are in talent acquisition, as this is the area where companies see significant, measurable, and immediate results in reducing time to hire, increasing productivity for recruiters, and delivering an enhanced candidate experience that is seamless, simple, and intuitive. One company that has delivered on this is DBS Bank.


Python: It's time you learned this popular programming language

#artificialintelligence

Based on job demand, Python is the most important programming language to learn in 2022. Python is used in everything from game development and data science to recommendation engines and GUIs, making it one of the most extensible and scalable languages on the planet. It's also, surprisingly, one of the easiest to learn, especially when you have resources like The 2022 Complete Python Certification Bootcamp Bundle available to you. This 12-course bundle includes brand new courses from some of the web's top instructors, including Dr. Chris Mall (4.5/5 instructor rating), Musa Arda (4.6/5 rating), and ZENVA Academy (4.4/5 rating). When you're starting out, you'll learn Python foundations like setting up a Python project and utilizing variables and operators.


Machine learning program for games inspires development of groundbreaking scientific tool

#artificialintelligence

We learn new skills by repetition and reinforcement learning. Through trial and error, we repeat actions leading to good outcomes, try to avoid bad outcomes and seek to improve those in between. Researchers are now designing algorithms based on a form of artificial intelligence that uses reinforcement learning. They are applying them to automate chemical synthesis, drug discovery and even play games like chess and Go. Scientists at the U.S. Department of Energy's (DOE) Argonne National Laboratory have developed a reinforcement learning algorithm for yet another application.


Upgrade your job: 5 ways to get that career boost

ZDNet

Nate writes about the intersection of education and technology. He's also worked as a newspaper staff writer covering K-12 and higher education, business, local government, and public safety. If you have a tech job -- or want one -- the market is strong. And as a job-seeker or potential job-switcher, you have an advantage. The pandemic made remote work mainstream.