algorithm rss sort by issue

Issue 06/2018

Eliminating bias from algorithms

Eliminating bias from the data used to train algorithms is a key challenge for the future of machine learning

Wael Diab, who is leading international efforts to standardize artificial intelligence (AI), has identified the mitigation of data bias as a priority challenge for eventual future standards work. Diab recently told the IEC General Meeting, in Busan, South Korea, that a broad standardization approach is necessary. 

Issue 06/2018

Healthcare needs doctors and machines

Disruptive technologies bring healthcare improvements but raise new issues

Imagine being able to predict medical conditions in healthy people and take steps to prevent them before symptoms develop, or having fully autonomous systems monitor critical patients in intensive care units instead of requiring a team of specialists.

Issue 06/2018

SMB Meeting in Busan

SMB Chair shares key decisions and developments

Ralph Sporer, IEC Vice-President and Chair of the Standardization Management Board (SMB) shared key decisions with IEC e-tech.

Issue 06/2018

How secure is your medical device?

Technology advances and the rising awareness of fitness are driving the smart medical devices industry

In 2007, when cautious doctors replaced a former US Vice President’s heart defibrillator, a battery-powered device placed under the skin to monitor heart rate, they modified it so it couldn't be hacked by terrorists, by having the manufacturer disable the wireless feature.

Issue 03/2018

First International Standards committee for entire AI ecosystem

Industry recognizes standardization will be essential to broad adoption of AI

Information technology has become an integral part of our lives whether it be in the consumer, industrial or commercial aspects. It is hard to imagine life, work or entertainment without it. Artificial intelligence (AI) presents the next digital frontier of the IT evolution.