Top Tech Articles of 2020

As the year is coming to an end, we take a look at the top tech articles of 2020 which have been the most popular among our audience. From music gesture intelligence tool, to facial recognition technology, without forgetting cybersecurity or deep learning algorithms, many different topics sparked your interest.

 

Identifying a melody by studying a musician’s body language

Author: Kim Martineau | @kimmartineau

Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.

 

How man and machine can work together in the age of AIImage: REUTERS/Ina Fassbender

How man and machine can work together in the age of AI

Author: Jens Martin Skibsted | @jmskibsted

The form future jobs will take is likely to be shaped by how man and machine end up working together. It remains unclear to what extent the analytical power of machines will replace that of humans. Will the human presence in some job functions become entirely obsolete? Such questions could be better framed.

 

Bad News for Shoplifters: AI can Now Spot You Even Before You StealPhoto by Hanson Lu on Unsplash

Bad News for Shoplifters: AI can Now Spot You Even Before You Steal

Author: David Yakobovitch | @dyakobovitch

Retail stores continue to suffer from theft losses characterized by shoplifting despite security cameras installed, and AI is offering timely assistance. By working with facial recognition technology, artificial intelligence is using algorithms to determine the behavioral patterns of shoppers in a bid to reduce theft cases.

 

Top 10 IoT applications in 2020Image from IoT Analytics

Top 10 IoT applications in 2020

Author: Padraig Scully

IoT Analytics continues to track in which verticals most IoT projects are happening. This article discusses selected IoT projects in each of the 10 application areas, including 20 examples of recent projects.

 

Cybersecurity Trends That May Explode in 2021
Cybersecurity Trends That May Explode in 2021

Author: Jinkie Bracken

Cybersecurity has always been important, but now businesses are starting to put a premium on cyber defenses. It has been a long time coming, but many are now realizing just how critical it is to keep them safe from potential cyber-attacks. Cybersecurity will gain momentum come 2021, and some trends will likely affect the whole industry.

 

Analysis of Toronto Neighbourhoods using Machine LearningPhoto by Matthew Lai on Unsplash

Analysis of Toronto Neighbourhoods using Machine Learning

Author: Jessica Uwoghiren

The City of Toronto has 140 neighbourhoods spanning 6 districts. As a new immigrant, a vital question to answer is “What neighbourhood do I settle in?”. The aim of this project is to group Toronto neighbourhoods in order of desirability using Machine Learning and Data Visualization techniques.

 

How to trick deep learning algorithms into doing new thingsImage credit: Depositphotos

How to trick deep learning algorithms into doing new things

Author: Ben Dickson | @bendee983

At this year’s ICML conference, scientists at IBM Research and Taiwan’s National Tsing Hua University Research introduced “black-box adversarial reprogramming” (BAR), an alternative repurposing technique that turns a supposed weakness of deep neural networks into a strength.

 

Elon Musk is one step closer to connecting a computer to your brainYichuan Cao/NurPhoto/Getty Images

Elon Musk is one step closer to connecting a computer to your brain

Author: Rebecca Heilweil | @rebheilweil

Elon Musk revealed more details about his mysterious neuroscience company Neuralink and its plans to connect computers to human brains. The company has demonstrated a prototype of its brain-machine interface that currently works in pigs.

 

What Is GPT-3 And Why Is It Revolutionizing Artificial Intelligence?Adobe Stock

What Is GPT-3 And Why Is It Revolutionizing Artificial Intelligence?

Author: Bernard Marr | @BernardMarr

GPT-3 has been created by OpenAI, a research business co-founded by Elon Musk and has been described as the most important and useful advance in AI for years. But there’s some confusion over exactly what it does (and indeed doesn’t do).

 

Regulating Artificial Intelligence: Why We Need Expert Input To Limit RisksPhoto: Getty

Regulating Artificial Intelligence: Why We Need Expert Input To Limit Risks

Author: Kayvan Alikhani

For business leaders, ushering in an AI-driven global calamity isn’t a top-of-mind concern, but even avoiding smaller risks can be a major challenge. Businesses must figure out how to deploy AI in a way that does not harm consumers, violate consumers’ privacy or otherwise run afoul of laws. If they can’t, it could trigger massive lawsuits.