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A song featuring the voices of Drake and The Weeknd called “Heart On My Sleeve” has amassed over 250,000 Spotify streams and 10 million views on TikTok. But the two renowned musicians had nothing to do with the song — an artist going by the name “ghostwriter” generated the song using AI.

Drake and The Weeknd have not yet responded to the song, but Drake recently commented on AI-generated music that rips off his voice. When Drake noticed an AI model of himself singing “Munch” by Ice Spice, he wrote on his Instagram story, “This is the final straw AI.” It’s possible he was messing around, but he would be far from the first major artist to take issue with the rising count of deepfake songs.

In 2020, Jay-Z’s agency Roc Nation submitted copyright strikes against YouTube uploads of AI-generated Jay-Z deepfakes, but YouTube ended up reinstating the videos. And just last week, the same thing happened to Eminem; UMG, which represents both of these rappers, issued a copyright strike on AI-generated YouTube videos of Eminem rapping about cats.

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Self-driving cars are taking longer to arrive on our roads than we thought they would. Auto industry experts and tech companies predicted they’d be here by 2020 and go mainstream by 2021. But it turns out that putting cars on the road without drivers is a far more complicated endeavor than initially envisioned, and we’re still inching very slowly towards a vision of autonomous individual transport.

But the extended timeline hasn’t discouraged researchers and engineers, who are hard at work figuring out how to make self-driving cars efficient, affordable, and most importantly, safe. To that end, a research team from the University of Michigan recently had a novel idea: expose driverless cars to terrible drivers. They described their approach in a paper published last week in Nature.

Continue reading “These Self-Driving Cars Are Trained in a Simulation Packed With Terrible Drivers” | >

A team of UCF College of Medicine researchers has created a digital topographical map of the cardiac sympathetic neural network, the region that controls the body’s heart rate and its “fight-or-flight” response. They hope this map will eventually serve as a guide to treat cardiovascular conditions using bioelectronic devices.

The study, led by Dr. Zixi Jack Cheng, a neuro-cardiovascular scientist, was published in the Scientific Reports journal and was the project of an interdisciplinary team of researchers from UCF along with several other institutions as well as industry partners MBF Bioscience and SPARC Data and Resource Center.

“This mapping goes beyond what you can find in a textbook,” Dr. Cheng said. “This is a digitized brain– atlas that will be interactive. We hope it will serve as a guide not only for scientists and physicians, but also for students as they learn the neuroanatomy of the heart.”

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This post is also available in: he עברית (Hebrew)

Researchers from John Hopkins University together with Dr. Brett Kagan, chief scientist at Cortical Labs in Melbourne, have recently led the development of the DishBrain project, in which human cells in a petri dish learnt to play Pong.

The team claims that biological computers could surpass today’s electronic computers for certain applications while using a small fraction of the electricity required by today’s computers and server farms.

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Designed to automate GPT tasks, Auto-GPTs aim to make AI autonomous. But how close are we to that?

After the release of GPT-4, the world was barely catching its breath, when a new craze seems to be catching up already. This time it is called AutoGPT, a tool that lets you build artificial intelligence (AI) agents that can complete tasks for you using GPT-4.

Even as some of the top names in the AI industry call for a pause on the release of future iterations of products, the journey to building them has already begun. It is unlikely that the next step in the AI race will be as revolutionary as ChatGPT.

Marvinh/iStock.

Continue reading “Meet AutoGPT: The new kid on the AI block that’s making the internet go crazy” | >

What did Kyle Monson learn from his ‘AI agency intern’ experiment? Find out with the latest episode of the Lexicon podcast.

Back in January, Kyle Monson, partner at digital marketing agency Codeword, began a 90-day trial of the use of ‘AI Interns’ as part of his creative team.

In this episode, IE caught up with Kyle to find out what he had learned, and whether he planned to take Aiko and Aiden on full-time.

Listen to the full podcast here.

Continue reading “What happens when you use generative AI tools as interns?” | >

According to Chinese state media, a team of researchers from Wuhan University allowed an AI to take control of a satellite for 24 hours to see what it would do.

According to Chinese state media, the South China Morning Post.

Chinese scientists said that they were able to conduct a “landmark experiment” by allowing an artificial intelligence (AI) machine to take full control of a satellite temporarily in near-Earth orbit to test its behaviour in space.

Qimingxing 1, a small Earth observation satellite, was controlled by the AI for 24 hours, and it functioned without any human order, assignment or intervention, a paper published in the journal Geomatics and Information Science of Wuhan University stated.

Continue reading “Chinese scientists let AI control satellite, it takes ‘closer look’ at specific spots in India, Japan” | >