Four Weekly Tech Newsletter – Feb 28
Lead articles from February 28
A beginner's guide to AI: ethics in artificial intelligence
Welcome to Neural’s beginner’s guide to AI. This long-running series should provide you with a very basic understanding of what AI is, what it can do, and how it works. In addition to the article you’re currently reading, the guide contains articles on (in order published) neural networks, computer vision, natural language processing, algorithms, artificial general intelligence, the difference between video game AI…
Machines learning to prevent cyber attacks
Universities are working with IT security company to block virus-infected websites before users click on them. Fighting hackers all the way. Together with CSI Security Group, researchers from DTU and Aalborg University are working to find new solutions aimed at preventing unintentional disclosure of information to criminals or visits to malicious, virus-infected websites.
Six deep learning techniques for stronger cybersecurity
With new technological developments, cybersecurity is turning into one of the biggest concerns of the modern era. To help with the same, some experts have advised about the usage of deep learnings for cybersecurity. Even though techniques like firewalls, antiviruses, intrusion detection systems (IDSs), etc, are existing; only one weakness is enough to make the data vulnerable to security threats. To increase the data protection probability, deep learning supported by Artificial Intelligence came into existence.
We need to talk about artificial intelligence
While consensus starts to form around the impact that AI will have on humankind, civil society, the public and the private sector alike are increasing their requests for accountability and trust-building. Ethical considerations such as AI bias (by race, gender, or other criteria), and algorithmic transparency (clarity on the rules and methods by which machines make decisions) have already negatively impacted society through the technologies we use daily. The AI integration within industry and society and its impact on human lives, calls for ethical and legal frameworks that will ensure its effective governance, progressing AI social opportunities and mitigating its risks.
AI - here, there and everywhere
I wake up in the middle of the night. It’s cold. “Hey, Google, what’s the temperature in Zone 2,” I say into the darkness. A disembodied voice responds: “The temperature in Zone 2 is 52 degrees.” “Set the heat to 68,” I say, and then I ask the gods of artificial intelligence to turn on the light. Many of us already live with A.I., an array of unseen algorithms that control our Internet-connected devices, from smartphones to security cameras and cars that heat the seats before you’ve even stepped out of the house on a frigid morning…
AI start up founders reveal their AI trends for 2021
From AI’s increased use in healthcare, finance and HR to the challenge of talent acquisition and the growing importance of structured and unstructured data, 16 AI startup founders reveal their artificial intelligence trends for 2021. In the final article of a three part series* focusing on what AI startup founders are doing to navigate the fast growth AI industry, Information Age spoke to 16 founders of some the UK’s leading AI startups and scaleups to understand their artificial intelligence trends for 2021, including its growing use in a variety of industries, the importance of data and talent, the impact of Covid-19 and the democratisation of AI.