Potatoes, Yorkshire puds, gravy, meat and veggies - the Sunday Roast is a meal integral to British identity. It is believed to have its origins in medieval times, around the 12th century, when village serfs were rewarded with roasted ox by their masters after church. At first glance, these plates show golden roast potatoes, billowing Yorkshire puddings, a perfectly juicy joint and lashings of gorgeous gravy. But take a closer look and the traditional dish appears more and more suspicious. Artificial intelligence has generated several photos of the traditional dinner, including all the trimmings. A user on Reddit shared the images, however it was unclear how the AI created the pictures or what software was used.

A murdered grime star has been brought'back to life' using deepfake AI technology in a new music video to warn against the dangers of knife crime. Joshua Emmanuel Ribera, performing as Depzman, was stabbed to death outside a Selly Oak nightclub in Birmingham in September 2013. His mother, Alison Cope, is a prominent anti-knife campaigner and head of the Joshua Ribera Foundation. She worked with Jamal Edwards, before his death in February 2022, and various other artists and performers to recreate the rising grime star. The video uses deepfake technology to tell Depzman's story through a new song called Life Cut Short, describing his childhood, his career and the night that he died.

According to Kaggle, determining manipulated media is a technical challenge that demands cross-industry collaboration. Research-driven initiatives have been circulating in recent years that aim to automatically detect various manifestations of deepfakes, which are often immensely hard for humans to identify. The DeepFake Detection Challenge (DFDC), a competition created by AWS, Microsoft, Facebook, the Partnership on AI, and academics, was run on Kaggle and offered a $1 million prize to global researchers who could develop innovative technologies to aid in detecting Deepfakes and manipulated media. It garnered over 2,000 participants and generated over 35,000 deepfake detection models. Detect Fakes is a MIT research initiative that strives to pinpoint methods to counteract AI-generated misinformation, and features videos that prompt participants to practice if they can discern a DeepFake from a real video.

What if there was a way you could wish your best, who a Harry Potter fan, in the voice of Alan Rickman on her birthday or congratulate your baby brother on his promotion in the voice of billionaire Bill Gates or Mark Zuckerberg or surprise your sister on her baby shower by wishing her in the voice of Betty White? Though it seems impossible, it isn't. Vocode is a software powered by artificial intelligence (AI) that generates voices of dozens of celebrities, politicians and tech entrepreneurs. The list includes names such as Mark Zuckerberg, Bill Gates, Alan Rickman, Betty White and Christopher Lee among others. Using Vocode is extremely simple.

Technology is powerful, it can make you believe in something that doesn't even exist! If you thought technology is all about the positives, then welcome to the dark realities it has to offer. Technology can be dangerous, digital representations, manipulated videos pave way to fabricated settings that insanely appear real, supported by sophisticated artificial intelligence, to serve a frightening negative purpose. Deepfake, a technology pioneered in 2014 by Ian Goodfellow is based on generative adversarial networks (GANs) a class of machine learning frameworks designed by Ian Goodfellow and his colleagues. If we break Deepfake, into deep and fake, it simply means a model that uses deep learning technology (a branch of machine learning) applying neural net simulation to massive data sets to create fake audio, video, image against the real ones used as model input.

The subject of Leonardo da Vinci's famous Mona Lisa painting has been brought to life by AI researchers. The video, achieved from a single photo, shows the model in the portrait moving her head, eyes and mouth. The latest iteration of so-called deepfake technology came out of Samsung's AI research laboratory in Moscow. Some are concerned that the rise of convincing deepfake technology has huge potential for misuse. Samsung's algorithms were trained on a public database of 7,000 images of celebrities gathered from YouTube.

Deepfakes have gained a lot of negative attention recently. Be it the hugely criticized DeepNude AI app which removes clothing from pictures of women or the FakeApp that swaps the faces of celebrities with porn stars in videos. Deep-learning algorithms are excellent at detecting matching patterns in images. This capability can be used to train neural nets to detect different types of cancer in a CT scan, identify diseases in MRIs, and spot abnormalities in an x-ray. While the idea of implementing deepfake AI for medical purposes sounds great, researchers don't have enough data to train a model -- simply because of privacy concerns.