🔌AI's thirst threatens U.S. Power Grid

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AI HEALTHCARE

⚕️PHILIPS' AI ULTRASOUND: GAME-CHANGER FOR MEDICAL IMAGING?

Philips filed a patent for an AI-powered ultrasound system that produces high-quality images from incomplete data using a generative neural network.

How does it work?

• Uses a neural network trained on both complete and partial datasets

• Reconstructs full images from partial data

• Employs a "discriminator" to improve image quality

• Aims to create realistic images indistinguishable from those made with complete data

What are the potential benefits?

• Faster image production compared to conventional techniques

• Reduction in false positives and negatives

• High-quality images with diagnostic value from limited data

Why is this important for healthcare?

• Addresses data limitations in medical AI development

• Could help overcome HIPAA-related data access challenges

• Demonstrates the potential of synthetic data in healthcare innovation

What are the broader implications?

• May accelerate AI adoption in various healthcare areas (diagnosis, drug discovery, etc.)

• Could provide a solution to data security and privacy concerns in medical AI

• Aligns with industry trends of using synthetic data to improve AI models

What challenges remain?

• Ensuring the accuracy and reliability of AI-generated medical images

• Navigating regulatory hurdles for AI in healthcare

• Balancing innovation with patient privacy and data protection

This development could mark a significant step forward in medical imaging technology, potentially improving diagnostic capabilities while addressing crucial data challenges in healthcare AI.

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• SharkEye, an AI initiative uses drones to monitor what`s happening beneath the waves and sends a text to signed up people when a shark is spotted, keeping the beachgoers safe, launched by the University of California Santa Barbara`s Benioff Ocean Science Laboratory (BOSL).

• AI seems like a great tool for workers to balance their workload. But, 77% of employees have an increased workload due to AI, according to data from the Upwork Research Institute..

• Apple's highly anticipated Apple Intelligence, will not be included in the initial release of iOS 18 and iPadOS 18 this September, instead rolling out in later updates by October. But developers will get early access to test them as soon as this week via beta updates.

• X automatically enabled a setting allowing user data, including user interactions, posts, inputs, and results, to be used for training and fine-tuning purposes for its Grok AI. (Here is How to Disable)

• The Paris 2024 Summer Olympic Games is showcasing an unexpectedly extensive amount of AI, changing experiences for athletes, spectators, and organizers — potentially signaling a new era in the way that we watch sports.

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AI ISSUES

⚡GENERATIVE AI STRAINING THE POWER GRID?

Generative AI's power and water demands are putting significant stress on the U.S. electrical grid and water supplies.

How much power does AI use?

• AI models like GPT-3 can consume as much electricity as 126 U.S. homes annually

• One ChatGPT query uses nearly 10 times as much energy as a typical Google search

• Data centers housing AI systems use up to 2% of all U.S. electricity

• Power usage is expected to double every 2-3 years with AI advancements

• Generating an AI image can use as much power as charging your smartphone. 

What about water consumption?

• Data centers use billions of gallons of water yearly for cooling

• Some AI facilities use up to 3-5 million gallons of water daily

• Water usage is particularly concerning in drought-prone areas

Can the current infrastructure handle it?

• The aging U.S. power grid is struggling to meet increasing demands

• Many regions face potential blackouts due to AI-related power strain

• Upgrading infrastructure could take years and cost billions

How are tech companies responding?

• Some are investing in renewable energy sources

• Others are developing more energy-efficient AI systems

• Water recycling and alternative cooling methods are being explored

What's the environmental impact?

• Increased carbon emissions from power generation

• Potential water scarcity in certain regions

• Concerns about e-waste from rapid hardware upgrades

What's next?

• Urgent need for grid modernization and expansion

• Potential regulations on AI power consumption

• Development of more sustainable AI technologies

The rapid growth of AI is exposing critical infrastructure weaknesses, prompting a race to balance technological advancement with sustainability.

AI ART

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