One of the first programs beginners in data science work on, is to solve a classification machine learning task to class

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ed the “Morning Motivation Call.” It was just a daily call with people which he charged a small monthly subscription for. If people couldn’t be on the call live with him, then he would email a recording of the call right afterwards.

However, this was just a simple example and there are way more applications in the medical field. Deep learning and neural networks are being used for producing effective results in scanning and other medical applications. Advances in computational power paired with massive amounts of data generated in healthcare systems make many clinical problems ripe for AI applications. Below are two recent applications of accurate and clinically relevant algorithms that can benefit both patients and doctors through making diagnosis more straightforward.

Like his peers in the personal finance niche, O’Brien focuses on educating rather than entertaining. His videos are generally 10 to 15 minutes long and always feature him sitting in his house, teaching finance directly to the camera.

According to LinkedIn, Tommy Bryson graduated from the College of Westchester in 2017 with a degree in accounting. These days, however, he probably spends more time keeping track of his own money. With over 280,000 subscribers and a rough average of 5,000 views per video, Bryson is a rising star in personal finance YouTube. His most popular video, “How to start a ATM Business | $3683 Per Month,” currently clocks in at over 1.3 million views.

Apart from this, robotics and data science can be exclusively used to achieve human-level performance on many pre-programmed tasks. The advancements in IoT and the community are also highly beneficial for the integration of AI in robotics to develop smart and effective devices.

Unsurprisingly, all his hard work is paying off. In his latest income update, Bryson reveals that he’s currently making between $20,000-$40,000 per month (or $240,000 to $480,000 per year) from YouTube ad revenue alone.

The second of these algorithms comes from researchers at Google AI Healthcare, also in the fall of 2018, who created a learning algorithm, LYNA (Lymph Node Assistant), that analyzed histology slides stained tissue samples) to identify metastatic breast cancer tumors from lymph node biopsies. This isn’t the first application of AI to attempt histology analysis, but interestingly this algorithm could identify suspicious regions undistinguishable to the human eye in the biopsy samples given. LYNA was tested on two datasets and was shown to accurately classify a sample as cancerous or noncancerous correctly 99% of the time. Furthermore, when given to doctors to use in conjunction with their typical analysis of stained tissue samples, LYNA halved the average slide review time.

Bryson posted his first video all the way back in February 2016. Scroll through his video history and it’s clear he initially wanted to be a traditional vlogger. Several of his early videos take you through his daily life, which at one point included flipping products on eBay and meeting Gary Vaynerchuk. By 2018, however, he had switched his style to monologuing in front of the camera.

Her most intriguing accomplishment, however, is her rapidly growing YouTube channel, where she currently has over 71,000 subscribers. Recently, she revealed that she’s made $100,000 through YouTube this year. Of that $100,000, $27,000 came from ad revenue, where her videos have nabbed CPMs (how much she’s paid per 1,000 views) as high as $25. She attributes the remaining $73,000 to sponsorships and affiliate revenue, which, based on her subscriber count, is entirely realistic.

A handful of robotic systems are now being sold as open-source systems with AI capability. This way, users can teach their robots to do custom tasks based on their specific applications, such as small-scale agriculture in fields. The convergence of open source robotics and AI could be a huge trend in the future of AI robots.

The first of these algorithms is one of the multiple existing examples of an algorithm that outperforms doctors in image classification tasks. In the fall of 2018, researchers at Seoul National University Hospital and College of Medicine developed an AI algorithm called DLAD (Deep Learning based Automatic Detection) to analyze chest radiographs and detect abnormal cell growth, such as potential cancers.

Robotics and artificial intelligence have a humungous scope in the future. The integration of data science projects along with robots has tremendous potential for enforcing top-notch product manufacturing in industries with very little human effort.

From 2016 to 2018, he posted a grand total of 19 videos. Then in 2019, he created a jaw-dropping 307 videos (almost a video every day), many close to 20 minutes long. So far, he’s been even more active in 2020, racking up over 360 videos as of press time.

I am super hyped for the future of robots based on artificial intelligence technologies. There will be a wide range of opportunities in the future for both AI and robotics. We can now have robots that visually perceive and understand human emotions and actions as well as interact with us.

On her website’s “About” page, Erika Kullberg describes herself as an “attorney and personal finance expert.” Some of her notable accomplishments include paying off over $225,000 in student loans in 23 months, founding a legal contract template business, and landing features in prestigious media outlets like CNBC and Business Insider.