68% of CTOs have implemented machine learning
Research shows that 68% of CTOs have implemented some sort of machine learning at their companies
Happy Sunday everyone!
I hope you’re loving Machine Learnings! If so, I’d like to invite you to another newsletter that I am writing called Top of the Stack.
Every Sunday evening I’ll send you 5 great indie newsletters that I have discovered recently. My goal is twofold:
1. make it easy to discover awesome newsletters.
2. help authors grow their audiences.
Check it out and let me know what you think 👇
Awesome, not awesome.
#Awesome
“DNA damage is constantly occurring in cells, either due to external sources or as a result of internal cellular metabolic reactions and physiological activities. Accurate repair of such DNA damages is critical to avoid mutations and chromosomal rearrangements linked to diseases including cancer, immunodeficiencies, neurodegeneration, and premature aging.
A team of researchers at Massachusetts General Hospital and the National Cancer Research Centre have identified a way to repair genetic damage and prevent DNA alterations using machine learning techniques.
The researchers state that it is possible to learn more about how cancer develops and how to fight it if we understand how DNA lesions originate and repair. Therefore, they hope that their discovery will help create better cancer treatments while also protecting our healthy cells.” - Tanushree Shenwai, Consulting Intern Learn More from Marktechpost >
#Not Awesome
“Machine productivity, measured by the quantitative output produced every minute, hour, or day, can be mechanically monitored and managed. But we humans aren’t exactly machines. Science shows that we work best when we mix work with breaks, and that we’re most motivated when we enjoy ownership and independence. These “human” factors demand a nuanced perspective on productivity that digital technologies may not yet possess. Still, shunning the technology isn’t the answer; used in the right way, A.I. can benefit both employees and businesses, as a recent BCG–MIT research project has shown. The key is for companies to ensure that the productivity of both humans and A.I. rises as they work together, and that they bring out the best in each other.
Sadly, companies, especially those that have started using A.I. in the workplace, tend to focus only on the technology and almost forget about the human aspects while trying to optimize productivity.” - Francois Candelon, Su Min Ha, and Colleen McDonald, Authors Learn More from Fortune >
What we're reading.
1/ Research shows that 68% of CTOs have implemented some sort of machine learning at their companies. Learn More from insideBIGDATA >
2/ Facial recognition is being used to help protect wild giant pandas in China, using technology with a 98% success rate of species recognition. Learn More from CGTN >
3/ Researchers are attempting to use machine learning to better forecast the weather. Forecasts related to hazardous weather is an estimated $31.5 billion per year industry. Learn More from Phys.org >
4/ A new machine learning algorithm may be able to help diagnose multiple sclerosis in patients sooner than current diagnoses can. Learn More from Multiple Sclerosis News Today >
5/ Chipotle is beginning to use machine learning in its restaurants to do things like predict how much guacamole will be needed for the rest of the day as well as automate scheduling and interviews. Learn More from The Washington Post >
6/ Facial recognition is being tested on cows as a replacement to ear tagging, tattooing, etc. Early tests show that a cows nose is as accurate as a human’s fingerprint . Learn More from ABC News >
7/ John Deere’s self-driving tractor will finally be available later this year after years of research and testing. Learn More from Yahoo >
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Hey everyone!
I'd absolutely love to hear any product feedback that you have regarding a new app, Heyday, that I've been working on.
It uses machine learning to boost your memory when you're browsing the web and doing research.
Thanks so much for checking it out!
-Sam