Day: August 21, 2020
Explainable AI: From the peak of inflated expectations to the pitfalls of interpreting machine learning models
Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, and the growing sophistication in algorithms. The flip side of more complex algorithms, however, is less interpretability. In many cases, the ability to retrace and explain…
Developing a delivery science for artificial intelligence in healthcare
Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient care in the real world setting has yet to be realized. In order to safely and effectively bring AI into…
Overcoming the challenges of machine learning at scale – CIO
Machine learning (ML) and artificial intelligence (AI) technologies are increasingly on the investment list for IT leaders. Among the many benefits of these technologies, building and deploying ML models can add automation to mundane, repetitive tasks and let humans focus on more mission-critical work. ML also gives businesses the power to extract meaning from the…
AI may not predict the next pandemic, but big data and machine learning can fight this one – ZDNet
In April, at the height of the lockdown, computer-science professor Àlex Arenas predicted that a second wave of coronavirus was highly possible this summer in Spain. At the time, many scientists were still confident that high temperature and humidity would slow the impact and spread of the virus over the summer months, as happens with…
How machine learning helps companies stay agile in a pandemic (VB Live) – VentureBeat
Automation and Jobs Read our latest special issue. Open Now Sponsored by AWS Machine Learning In a world profoundly impacted by the pandemic, machine learning and AI has offered powerful new ways to adapt and face pressing business challenges. To learn more about the unique opportunities ML offers, best practices for leveraging the technology, and…
A Self Taught Machine Learning Engineer: Interview With Eugene Khvedchenya – Analytics India Magazine
“Machine learning is to businesses today what petrol engines were to horses back then.” For this week’s ML practitioner’s series, Analytics India Magazine got in touch with Eugene Khvedchenya from Ukraine. Eugene is a Kaggle master and is currently ranked 104 on the global leaderboard. He has more than 10 years of experience in developing…
Explainable AI: From the peak of inflated expectations to the pitfalls of interpreting machine learning models
Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, and the growing sophistication in algorithms. The flip side of more complex algorithms, however, is less interpretability. In many cases, the ability to retrace and explain…
Explainable AI: From the peak of inflated expectations to the pitfalls of interpreting machine learning models
Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, and the growing sophistication in algorithms. The flip side of more complex algorithms, however, is less interpretability. In many cases, the ability to retrace and explain…
Real-time data for a better response to disease outbreaks
Kinsa was founded by MIT alumnus Inder Singh MBA ’06, SM ’07 in 2012, with the mission of collecting information about when and where infectious diseases are spreading in real-time. Today the company is fulfilling that mission along several fronts. It starts with families. More than 1.5 million of Kinsa’s “smart” thermometers have been sold or…