AI for Good: Lighting one nonprofit’s path to find a cure for ALS

Nvidia to be charged by French anti-trust regulator

🤝 ChatGPT for debugging

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AI for Good: Lighting one nonprofit’s path to find a cure for ALS

Among the biggest promises of artificial intelligence technology is its integration with biotech, based on the hope that AI can be leveraged to accelerate and drive drug discovery and innovation. 

One nonprofit — Everything ALS — has turned its focus to AI and machine learning as the backbone of a plan to find a cure for Amyotrophic Lateral Sclerosis (ALS) by 2030. 

The details: The organization in March launched its Vision 2030 AI Hub, a platform that combines AI, machine learning and data science with the goal of heavily accelerating ALS research. 

• The focus of Everything ALS’s approach revolves around a newer area of study called Repair and Regeneration, whose ambition is to “develop therapies that can effectively halt and prevent the progression of the disease” and “foster nerve regeneration, empowering individuals with ALS to recover muscle strength and functionality.”

• The role of AI here is one of data processing and analyzing in order to identify insights and paths forward that “are beyond human comprehension.”

Why it matters: A 2016 study published in the National Library of Medicine predicted that the prevalence of ALS could increase by about 70% between 2015 and 2040. 

Bill Nuti, chairman of Everything ALS, said in a statement that ALS research has long been hindered by limited resources due to its lower prevalence. “This stark reality underscores a pressing need for a radical change in approach to ensure that no promising research is left on the sidelines, and we accelerate the process of developing a cure. Vision 2030 is the right operating model to address these challenges,” he said.

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Nvidia to be charged by French anti-trust regulator

Reuters reported Monday that Nvidia, the semiconductor that has powered the generative AI craze, is set to be charged by the French antitrust regulator for alleged anti-competitive practices. 

• The organization has cited concerns of potential abuse by chip providers, saying in a recent report that it is concerned with the industry’s reliance on Nvidia’s CUDA chip programming software, which is the only system perfectly compatible with Nvidia’s GPUs. 

In the U.S., the Department of Justice is taking the lead in investigating Nvidia. 

Nvidia declined a request for comment. 

ChatGPT use case 🤝 

AI for Debugging Code

How It Works:

ChatGPT assists in debugging by analyzing code snippets and identifying errors or inefficiencies. Users input problematic code, and ChatGPT provides detailed explanations, suggests fixes, and offers optimized alternatives to improve performance.

Why Use It:

This tool streamlines the debugging process, saving valuable time and ensuring code quality. Ideal for software developers, engineers, and programmers, it enhances productivity by delivering precise and actionable debugging insights.

Prompt Example:

Debug the following code snippet: [Code]. Identify and explain any errors, suggest improvements, and provide optimized code. Ensure the explanation is clear and the tone is [Technical/Informative] for [Target Audience].

Thank You For Reading!

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