AI

It’s obvious already that AI needs regulating, but how? Here’s Eugene Kaspersky telling us how he sees it.

Image-generating neural networks are already everywhere. What privacy risks do they pose?

AI is going to have a tremendous impact on our lives. How can we get ready for it?

Cybercriminals are distributing a Trojan stealer under the guise of a ChatGPT desktop client for Windows. We delve into the details and ways to protect yourself.

A new generation of chatbots creates coherent, meaningful texts. This can help out both cybercriminals and cyberdefenders.

How to make sure a robot doesn’t spy on you, and can it function without internet access?

We’ve been using machine learning in Kaspersky Internet Security for Android for years now. Here’s why — and what we’ve achieved.

Researchers at RSA Conference 2021 demonstrated how Tesla and Mobileye autopilots can be tricked by “phantom” images.

Dave and Jeff discuss deepfakes, Russian troll farms, Amazon five-star fraud, privacy in children’s apps, and more.

Dave and Jeff talk about the UK government considering the use of artificial intelligence for espionage, Google’s continued fight against COVID-19 phishing, and more Zoom headaches.

With deepfakes becoming more and more common — and more and more convincing — how can you protect your business?

We examine the workings of emotion-recognition technologies, their usefulness, and the privacy concerns they inspire.

This year’s Kaspersky NEXT event centred around AI, gender equality, and social robotics.

In this episode of the Kaspersky podcast, Dave and Jeff discuss deepfakes at Facebook, telcos behaving badly, Alexa spying, and more.

Emulator in Kaspersky Lab products: what is it and why it’s so important for antivirus to have one.

In this episode of the Kaspersky Lab podcast, Dave and Jeff take a look at the latest Facebook snafu, AI in Dota 2, dumb criminals, and more.

Mobile World Congress 2019 recapped: 5G, Internet of Things, ultrasonic fingerprint sensors, and artificial intelligence.

People worry about technologies stealing their jobs. Young people are less concerned; many of them are sure that completely new professions will emerge instead.

What surprises do machine learning have in store for us? How difficult is it to trick a machine? And will we end up with Skynet and rise of the machines? Let’s take a look.

On this podcast, special guest David Emm joins David to talk data privacy, AI, and smart homes