A social network for AI looks disturbing, but it's not what you think A social network solely for AI - no humans allowed - has made headlines around the world. Chatbots are using it to discuss humans' diary entries, describe existential crises or even plot world domination . It looks like an alarming development in the rise of the machines - but all is not as it seems. Like any chatbots, the AI agents on Moltbook are just creating statistically plausible strings of words - there is no understanding, intent or intelligence. And in any case, there's plenty of evidence that much of what we can read on the site is actually written by humans.

Can AI Look at Your Retina and Diagnose Alzheimer's? The author of believes AI could bring big changes to the world of medicine. For decades now, it's been fairly well established that once you turn 40 you should start paying more attention to your body. That's when women are supposed to start getting mammograms and men are supposed to start paying a bit more attention to their prostates. Over the next decade, you'll start getting colonoscopies, and from then on out, it feels like a gradual march of doctor's appointments and tests until your body collapses sometime in your seventies or eighties.

Artificial intelligence (AI) is now so sophisticated that we can't tell the difference between fake faces and snaps of real people, a new study warns. In experiments with US citizens, more people thought AI-generated faces were human than the faces of real people. Experts are concerned that'hyper-realistic' imagery could be fueling misinformation and identity theft online by creating authentic-looking profiles of people. In the study, the researchers compared five AI faces with five human faces. So, can you tell which of these people are real?

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. AI adoption has skyrocketed throughout the last 18 months. Besides Joe McKendrick, who wrote the foundational piece on HBR, professionals who work on AI would readily attest to this statement. Google search seems to be in on this not-so-secret too: When prompted with "AI adoption," its auto-complete spurts out "skyrocketed over the last 18 months". Both anecdotal evidence and surveys we are aware of seem to point in this same direction.

The retail experience is evolving with artificial intelligence (AI) changing how items can be bought and sold. Inventory robots can automatically restock shelves and sensors can track customer traffic patterns to identify optimum store layout. Opportunities for cross-selling and digital signage can be edited for specific audiences, providing up-to-the-minute information to motivate consumers, such as alerting them to when stocks are running low. Augmented reality (AR) is also enhancing the retail experience. In homeware, a consumer can upload an image of their room and redecorate it using AR to view different colour schemes and choose suitable accessories, suggested by computers.

AI is not just a technology; it has become part of daily lives. We can access many points with AI now more than we could ever before. From the research that we do on the internet to the goods that come to our doors, AI is directing our lives and business. It has solved many problems faced by humanity. And, revolutionized technology in all industries. Coined at Dartmouth College in 1956, Artificial Intelligence (AI) gave succeeding generations a potential for information technology that can benefit humans in a profound way.

Fake faces created by artificial intelligence (AI) look more trustworthy than faces of real people, a worrying new study reveals. Researchers conducted several experiments to see whether fake faces created by machine learning frameworks were able to fool humans. They found synthetically generated faces are not only highly photo realistic, but are also nearly indistinguishable from real faces - and are even judged to be more trustworthy. Due to the results, the researchers are calling for safeguards to prevent'deepfakes' from circulating online. Deepfakes have already been used for so-called'revenge porn', fraud and propaganda, leading to misplaced identity and the spread of fake news.

Artificial intelligence can create such realistic human faces that people can't distinguish them from real faces – and they actually trust the fake faces more. Fictional, computer-generated human faces are so convincing they can fool even trained observers. They can be easily downloaded online and used for internet scams and fake social media profiles. "We should be concerned because these synthetic faces are incredibly effective for nefarious purposes, for things like revenge porn or fraud, for example," says Sophie Nightingale at Lancaster University in the UK. AI programs called generative adversarial networks, or GANs, can learn to create fake images that are less and less distinguishable from real images, by pitting two neural networks against each other.

It hasn't been that long since artificial intelligence began its journey out of the realm of sci-fi novels and into our daily lives. Perhaps because of its recency, AI's transition into real-world systems and technologies has been both inspiring and unsettling, a tension that is just as strong in debates around its future. In this week's Variable, we share two eye-opening contributions to this conversation. If you prefer to keep things more actionable, however, have no fear: we also include some of our recent favorites on topics like MLOps and model stacking. Thank you for joining us on another week of exciting and thought-provoking articles!

AI adoption has skyrocketed throughout the last 18 months. Besides Joe McKendrick, who wrote the foundational piece on HBR, professionals who work on AI would readily attest to this statement. Google search seems to be in on this not-so-secret too: When prompted with "AI adoption," its auto-complete spurts out "skyrocketed over the last 18 months". Both anecdotal evidence and surveys we are aware of seem to point in this same direction. Case in point: The AI Adoption in the Enterprise 2021 survey by O'Reilly, conducted in early 2021, had three times more responses than in 2020, and company culture is no longer the most significant barrier to adoption.