Payments giant Mastercard says it has built its own proprietary generative artificial intelligence model to help thousands of banks in its network detect and root out fraudulent transactions.
The company told CNBC exclusively that its new advanced AI model, Decision Intelligence Pro, will allow banks to better assess suspicious transactions on its network in real-time and determine whether they’re legitimate or not. – Read More
Tag Archives: GANS
A new era for AI and Google Workspace
For nearly 25 years, Google has built helpful products that people use every day — from Search and Maps, to Gmail and Docs in Google Workspace. AI has been transformational in building products that have earned a valued place in people’s lives. Across our productivity suite, advances in AI are already helping 3 billion users save more time with Smart Compose and Smart Reply, generate summaries for Docs, look more professional in meetings, and stay safe against malware and phishing attacks.
We’re now making it possible for Workspace users to harness the power of generative AI to create, connect, and collaborate like never before. To start, we’re introducing a first set of AI-powered writing features in Docs and Gmail to trusted testers. Read More
An Indigenous Perspective on Generative AI
Earlier this month, Getty Images, one of the world’s most prominent suppliers of editorial photography, stock images, and other forms of media, announced that it had commenced legal proceedings in the High Court of Justice in London against Stability AI, a British startup firm that says it builds AI solutions using “collective intelligence,” claiming Stability AI infringed on Getty’s intellectual property rights by including content owned or represented by Getty Images in its training data. Getty says Stability AI unlawfully copied and processed millions of images protected by copyright and the associated metadata owned or represented by Getty Images without a license, which the company says is to the detriment of the content’s creators. The notion at the heart of Getty’s assertion– that generative AI tools like Stable Diffusion and OpenAI’s DALLE-2 are in fact exploiting the creators of the images their models are trained on– could have significant implications for the field.
Earlier this month I attended a symposium on Existing Law and Extended Reality, hosted at Stanford Law School. There, I met today’s guest, Michael Running Wolf, who brings a unique perspective to questions related to AI and ownership, as a former Amazon software engineer, a PhD student in computer science at McGill University, and as a Northern Cheyenne man intent on preserving the language and culture of native people. Read More
The Expanding Dark Forest and Generative AI
Proving you’re a human on a web flooded with generative AI content
The dark forest theory of the web points to the increasingly life-like but life-less state of being online.
Most open and publicly available spaces on the web are overrun with bots, advertisers, trolls, data scrapers, clickbait, keyword-stuffing “content creators,” and algorithmically manipulated junk.
It’s like a dark forest that seems eerily devoid of human life – all the living creatures are hidden beneath the ground or up in trees. If they reveal themselves, they risk being attacked by automated predators. Read More
Remaking Old Computer Graphics With AI Image Generation
Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics?
Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell an old visual story – the intro cinematic to an old video game (Nemesis 2 on the MSX). This post describes the process and my experience in using these models/services to retell a story in higher fidelity graphics. Read More
Generative AI is changing everything. But what’s left when the hype is gone?
No one knew how popular OpenAI’s DALL-E would be in 2022, and no one knows where its rise will leave us
It was clear that OpenAI was on to something. In late 2021, a small team of researchers was playing around with an idea at the company’s San Francisco office. They’d built a new version of OpenAI’s text-to-image model, DALL-E, an AI that converts short written descriptions into pictures: a fox painted by Van Gogh, perhaps, or a corgi made of pizza. Now they just had to figure out what to do with it.
“Almost always, we build something and then we all have to use it for a while,” Sam Altman, OpenAI’s cofounder and CEO, tells MIT Technology Review. “We try to figure out what it’s going to be, what it’s going to be used for.”
Not this time. As they tinkered with the model, everyone involved realized this was something special. “It was very clear that this was it—this was the product,” says Altman. “There was no debate. We never even had a meeting about it.” Read More
The viral AI avatar app Lensa undressed me—without my consent
My avatars were cartoonishly pornified, while my male colleagues got to be astronauts, explorers, and inventors.
When I tried the new viral AI avatar app Lensa, I was hoping to get results similar to some of my colleagues at MIT Technology Review. The digital retouching app was first launched in 2018 but has recently become wildly popular thanks to the addition of Magic Avatars, an AI-powered feature which generates digital portraits of people based on their selfies.
But while Lensa generated realistic yet flattering avatars for them—think astronauts, fierce warriors, and cool cover photos for electronic music albums— I got tons of nudes. Out of 100 avatars I generated, 16 were topless, and in another 14 it had put me in extremely skimpy clothes and overtly sexualized poses. Read More
‘Magic’ AI Avatars Are Already Losing Their Charm
When Lensa, a four-year-old photo-editing app, introduced a new AI-portrait generator in November, the internet was enthralled. But concerns have mounted, particularly among women
Last week, after seeing artsy portraits popping up all over her social media feeds, Christal Luster signed up for a free trial of a photo-editing app called Lensa. She uploaded 10 of her headshots to it and paid $5.99 for 100 new images based on her inputs, which an artificial-intelligence tool produced in under an hour.
Ms. Luster, an actress in Chicago, said the images opened her eyes to the types of characters she could portray. “There was one of them where I was like, ‘Oh I could totally see myself playing in ‘Bridgerton.’ I could learn to speak with a British accent. I could do period pieces,” she said. Others made her look like a superhero, she said: “I could be in the next ‘Black Panther.’” She shared some of the portraits in a video on TikTok, where she has more than 480,000 followers. Read More
AlphaCode can solve complex problems and create code using AI
A novel system called AlphaCode uses artificial intelligence (AI) to create computer code, and has recently participated in programming competitions, using critical thinking, algorithms, and natural language comprehension. The AI system performed extremely well in competitions.
AlphaCode is an AI software system created by DeepMind, a subsidiary of the company Alphabet, the parent company of Google. The software generates code in Python or C++, while filtering out any bad coding. It has the ability to generate code at an exceptional rate. Read More
The Generative AI Revolution in Games
To understand how radically gaming is about to be transformed by Generative AI, look no further than this recent Twitter post by @emmanuel_2m. In this post he explores using Stable Diffusion + Dreambooth, popular 2D Generative AI models, to generate images of potions for a hypothetical game.
What’s transformative about this work is not just that it saves time and money while also delivering quality – thus smashing the classic “you can only have two of cost, quality, or speed” triangle. Artists are now creating high-quality images in a matter of hours that would otherwise take weeks to generate by hand. What’s truly transformative is that:
- This creative power is now available to anyone who can learn a few simple tools.
- These tools can create an endless number of variations in a highly iterative way.
- Once trained, the process is real-time – results are available near instantaneously.
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