Lifeboat Foundation: Safeguarding Humanity
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Amidst concerns that employees could be entering sensitive information into the ChatGPT artificial intelligence model, a data privacy vendor has launched a redaction tool aimed at reducing companies’ risk from inadvertently exposing customer and employee data.

Private AI’s new PrivateGPT platform integrates with OpenAI’s high-profile chatbot, automatically redacting 50+ types of personally identifiable information (PII) in real time as users enter ChatGPT prompts.

PrivateGPT sits in the middle of the chat process, stripping out everything from health data and credit-card information to contact data, dates of birth, and Social Security numbers from user prompts, before sending them through to ChatGPT. When ChatGPT responds, PrivateGPT re-populates the PII within the answer, to make the experience more seamless for users, according to a statement this week from PrivateGPT creator Private AI.

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In a recent study published in the journal Cell Stem Cell, researchers hypothesized that pacemaker-like activity of human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs) resulted in engraftment arrhythmias (EAs), which hampers the clinical use of cell-based therapy using hPSC-CMs for treatment of myocardial infarction (MI).

Study: Gene editing to prevent ventricular arrhythmias associated with cardiomyocyte cell therapy. Image Credit: FrentaN / Shutterstock.

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Check out this ad created using AI and Machine Learning tools like Stable Diffusion, Midjourney, and ControlNet!

The ad was created by https://privateisland.tv/ and according to Chris Boyle, co-founder of Private Island, the ad was generated from text prompts using these innovative tools, which they’ve been experimenting with for the past year. With a focus on exploring new ways of working and visual mediums powered by Machine Learning, the team at Private Island is pushing the boundaries of what’s possible in creative production. What do you think of this new AI ad?

#ai #generativeai #artificialintelligence #generative #marketing #advertising #MachineLearning #Creative #Innovation #AdCampaign

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Fully AI generated movies are coming according to Avengers Endgame director.

It’s no secret that the Russo Brothers are creating content with an eye toward the future. The directors behind some of the Marvel Cinematic Universe’s biggest blockbusters have already been dropping ominous warnings about the future of cinema as it relates to Gen Z’s viewing behavior and the rise of artificial intelligence. Now, in a new conversation with Collider ’s Steve Weintraub and Epic Games’ Chief Creative Officer Donald Mustard, Joe Russo states his belief that a fully AI movie—one so convincing you don’t even know it’s AI—is only two years away.

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Aliens on nearby stars could detect Earth through radio signals leaked from the planet, new research suggests.

Scientists from The University of Manchester and the University of Mauritius used crowd sourced data to simulate radio leakage from mobile towers to determine what might detect from various , including Barnard’s star, six light years away from Earth.

The research, published in the Monthly Notices of the Royal Astronomical Society journal, found that only more technologically advanced civilizations would be able to detect the current levels of mobile tower radio leakage from Earth. However, as most alien civilizations are likely to have more sensitive receiving systems and as we move towards more powerful broadband systems on Earth, the detectability of humans from other intelligent beings will become more and more likely.

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In the ceaseless pursuit of energy-efficient computing, new devices designed at UC Santa Barbara show promise for enhancements in information processing and data storage.

Researchers in the lab of Kaustav Banerjee, a professor of electrical and computer engineering, have published a new paper describing several of these devices, “Quantum-engineered devices based on 2D materials for next-generation information processing and storage,” in the journal Advanced Materials. Arnab Pal, who recently received his doctorate, is the lead author.

Each device is intended to address challenges associated with conventional computing in a new way. All four operate at very low voltages and are characterized as being low leakage, as opposed to the conventional metal-oxide semiconductor field-effect transistors (MOSFETs) found in smartphones that drain power even when turned off. But because they are based on processing steps similar to those used to make MOSFETs, the new devices could be produced at scale using existing industry-standard manufacturing processes for semiconductors.

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