Using a strategy that mimics the encoding of information in our brains, a trio of researchers in China has proposed a new platform for artificial intelligence (AI) that could be far more robust than existing architectures. The approach, which has yet to be implemented in the lab, exploits the inevitable non-uniformity of artificial neurons that are a result of defects in real magnetic materials.
Some companies are negatively impacted by the appearance of ChatGPT and similar AI.
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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.
As AI technology evolves, it is poised to create a great impact on our personal and professional lives, delivering unprecedented assistive capabilities and bringing value to multiple industries.
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?
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.
A Cornell-led collaboration harnessed chemical reactions to make microscale origami machines self-fold—freeing them from the liquids in which they usually function, so they can operate in dry environments and at room temperature.
The approach could one day lead to the creation of a new fleet of tiny autonomous devices that can rapidly respond to their chemical environment.
The group’s paper, “Gas-Phase Microactuation Using Kinetically Controlled Surface States of Ultrathin Catalytic Sheets,” published May 1 in Proceedings of the National Academy of Sciences. The paper’s co-lead authors are Nanqi Bao, Ph.D. ‘22, and former postdoctoral researcher Qingkun Liu, Ph.D. ‘22.
As freshwater scarcity affects millions worldwide, scientists and engineers have looked for new ways of filtering unwanted metals and minerals out of water while retaining those elements for re-use elsewhere.
Capacitive deionization (CDI), a technology in which a membrane made from electrode materials removes metal ions from water, has proved a promising technique for such next-generation water filters. Researchers from University of Chicago and Argonne National Laboratory envisioned the technique could be made even more efficient if they modified the molecular surface of the electrodes.
With support from University of Chicago’s Joint Task Force Initiative, three researchers investigated the best way to alter these surfaces. Junhong Chen, Crown Family Professor of Molecular Engineering at UChicago’s Pritzker School of Molecular Engineering and Lead Water Strategist at Argonne, collaborated with two Argonne colleagues: scientist Maria Chan and senior physicist Chris Benmore. Using experimentation, machine learning, and powerful X-rays, they developed a CDI device that adsorbed lead much more efficiently than before.
