This is your brain on AI

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Hello readers,

Welcome to the AI For All newsletter! Today, we’ll be looking at how AI is helping people with Parkinsons, how AI is changing video editing, and AI news from around the web!

AI in Action: Stimulating your brain

Welcome to the AI in Action, we feature a practical application for AI tech!

An emerging therapy called adaptive deep brain stimulation (DBS) is offering new hope for people with Parkinson’s disease by pairing established brain stimulation techniques with the power of AI. Unlike traditional DBS, which delivers constant electrical pulses to the brain regardless of patient state, adaptive DBS uses AI algorithms to adjust stimulation in real time based on a patient’s unique neural activity. This personalization helps minimize side effects while significantly improving motor symptoms like tremors and dyskinesia.

As patient Keith Krehbiel relays to The Washington Post:

“Five years later, I’m taking only one pill a day, whereas I used to take five or six,” Krehbiel said. “It’s not a cure or miracle, but it’s definitely a game changer in the sense of feeling better day-to-day. The tremor’s gone, dyskinesia is gone, and I don’t have that brain fog that I used to have when I was taking so many meds.”

AI plays a critical role in interpreting brain signals and determining the precise “dose” of stimulation needed at any given moment. By training on data collected from individual patients—such as their brain rhythms during medication cycles—AI models can detect pathological patterns like oscillopathy (abnormal synchronization of brain activity) and respond with optimized, on-demand stimulation. The result: fewer medications, fewer side effects, and a marked improvement in day-to-day quality of life for many patients.

Researchers are now working to make this technology even more precise, using directional electrodes and smarter biomarker targeting—challenges that are increasingly being met with AI’s unique ability to solve high-dimensional problems.

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📖 What We’re Reading

“AI offers the potential to automate the video creation process, employing neural networks and sophisticated algorithms to interpret both the visual and auditory elements of video content, thereby enhancing overall video quality. 

It also assists in editing videos with minimal input from users, facilitating the use of AR video overlay effects alongside traditional editing techniques. Traditional video editing allows users to adjust various video settings and specify the order of video sequences, as well as use features such as video face filters, enhancements, post-processing, and the integration of GIFs and text.”

Source: IoT For All