Scaling customer experiences with data and AI
Today, interactions matter more than ever. According to data compiled by NICE, once a consumer makes a buying decision for a product or service, 80% of their decision to keep doing business with that brand hinges on the quality of their customer service experience, according to NICE research. Enter AI. “I think AI is becoming…
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It’s easy to tamper with watermarks from AI-generated text
Watermarks for AI-generated text are easy to remove and can be stolen and copied, rendering them useless, researchers have found. They say these kinds of attacks discredit watermarks and can fool people into trusting text they shouldn’t. Watermarking works by inserting hidden patterns in AI-generated text, which allow computers to detect that the text comes…
Read MoreNavigating the Challenges and Opportunities of Synthetic Voices
We’re sharing lessons from a small scale preview of Voice Engine, a model for creating custom voices.
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How three filmmakers created Sora’s latest stunning videos
In the last month, a handful of filmmakers have taken Sora for a test drive. The results, which OpenAI published this week, are amazing. The short films are a big jump up even from the cherrypicked demo videos that OpenAI used to tease its new generative model just six weeks ago. Here’s how three of…
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What’s next for generative video
When OpenAI revealed its new generative video model, Sora, last month, it invited a handful of filmmakers to try it out. This week the company published the results: seven surreal short films that leave no doubt that the future of generative video is coming fast. The first batch of models that could turn text into…
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Four things you need to know about China’s AI talent pool
This story first appeared in China Report, MIT Technology Review’s newsletter about technology in China. Sign up to receive it in your inbox every Tuesday. In 2019, MIT Technology Review covered a report that shined a light on how fast China’s AI talent pool was growing. Its main finding was pretty interesting: the number of elite AI…
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AI could make better beer. Here’s how.
Crafting a good-tasting beer is a difficult task. Big breweries select hundreds of trained tasters from among their employees to test their new products. But running such sensory tasting panels is expensive, and perceptions of what tastes good can be highly subjective. What if artificial intelligence could help lighten the load? New AI models can…
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Meet the MIT Technology Review AI team in London
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. The UK is home to AI powerhouse Google DeepMind, a slew of exciting AI startups, and some of the world’s best universities. It’s also where I live, along with quite a…
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How Adobe’s bet on non-exploitative AI is paying off
Since the beginning of the generative AI boom, there has been a fight over how large AI models are trained. In one camp sit tech companies such as OpenAI that have claimed it is “impossible” to train AI without hoovering the internet of copyrighted data. And in the other camp are artists who argue that…
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