Author: John

Online learning platform EdX; Google’s open-source machine learning platform, TensorFlow; and HarvardX have put together a certification program to train tech professionals to work with tiny machine learning (TinyML). The program is meant to support this specialized segment of development that can include edge computing with smart devices, wildlife tracking, and other sensors. The program comprises a series of courses that can be completed at home.

The idea is to scale machine learning to function in

While some companies are extending their work-from-home plans through the end of 2020 and even into 2021 in response to the COVID-19 pandemic, many organizations also realize that some employees do their best work in an office or even prefer to work in the office. For companies looking to accommodate the return of some workers to an actual office facility, there are changes underway.

That’s the case for Freedom Financial Network, a consumer credit and financial advocacy services

Between now and 2025, the edge computing market is expected to grow by a compound annual growth rate (CAGR) of 19.9%. It’s small wonder. Companies are deploying the Internet of Things at the edges of their enterprises, in homes, and in the field. These devices can send, receive and process data, with a next wave of deployment that is likely to focus on how to derive and process data for

Businesses have had to grapple with a lot of change caused by the COVID-19 pandemic. One of the obvious side effects was compromised predictive model accuracy. What worked well in 2019 won’t work as well or at all in 2020 if the training data is out of sync with what’s happening now.

In the beginning

COVID-19’s effects are truly novel. While there have been other pandemics and financial crises in recent history, none of them

Technology companies are poster children for diversity problems in the workforce. Although they far surpass the national average when hiring Asian Americans, Brookings found African Americans and Latinos were employed in tech at half the rate as they were in all other professions. Women also lag far behind their male counterparts. There is no shortage of theories as to why these gaps persist, but no solution to date has made a significant dent in the industries’ problem.