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- 🤖 Department of Defense Builds Microscope to Spot Cancer
🤖 Department of Defense Builds Microscope to Spot Cancer
PLUS: UK Focuses on Transparency Laws to Regulate AI
James Roesser
September 20, 2023
Welcome back AI enthusiasts!
In today’s AI Report:
🧫Department of Defense Builds Microscope to Spot Cancer
🇬🇧UK Focuses on Transparency Laws to Regulate AI
🛠5 Trending Tools
💰Venture Capital Updates
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
DEPARTMENT OF DEFENSE
🧫Department of Defense Builds Microscope to Spot Cancer
The Department of Defense (DOD) partnered with Google to build an AI-powered microscope to help doctors identify cancer cells.
Key Details:
Experts believe the Augmented Reality Microscope (ARM) will help support doctors in smaller labs as they battle mounting caseloads and workforce shortages.
The ARM is expected to cost health systems between $90,000 and $100,000.
There are currently 13 ARMs in existence. These AI-powered microscopes can identify cancer cells in breast and prostate tissue samples with 99% accuracy.
Pathologist Dr. Nadeem Zafar explained: “AI is here, and it’s going to keep developing. The point is not to be afraid of these technologies, but to triage them to the best use for our medical and healthcare needs.”
Why It’s Important:
Several organizations have been attempting to digitize pathology workflows to increase efficiency. However, digitizing a single slide requires over a gigabyte of storage, so the infrastructure and costs associated with large-scale data collection are expensive.
ARM’s software allows pathologists to perform screen grabs of slides and create secured digital forms for patients at a lower cost.
ARM’s accuracy, speed, and cost-effectiveness will contribute to better, more affordable healthcare.
AI REGULATION
🇬🇧UK Focuses on Transparency Laws to Regulate AI
The Competition and Markets Authority (CMA), Britain’s anti-trust regulator, established principles designed to control the negative consequences of AI models without stifling innovation.
Key Details:
The CMA targets foundational models like OpenAI’s GPT-4, Meta’s Llama 2, and other Large Language Models (LLMs) that fuel most generative AI use cases.
The CMA outlined seven principles: (1) Developers and businesses are accountable for AI model outputs; (2) Companies must provide broader access to chips, processors, and training data to develop AI systems; (3) Companies should offer diverse business options by including open and closed models; (4) Corporations should present options for businesses to decide how to implement AI models; (5) Allow customers to use multiple models across multiple companies; (6) Avoid anti-competitive actions like bundling; (7) Offer transparency into the risks and limitations of generative AI content.
CMA Chief Executive Sarah Cardell noted: “We proposed these new principles to ensure the development and use of foundation models evolve in a way that promotes competition and protects consumers.”
Why It’s Important:
The CMA’s proposed principles will underpin Britain’s approach to overseeing digital markets when it assumes new powers in the coming months.
In March, Britain decided to split regulatory responsibility for AI models between the CMA and other legal bodies that monitor human rights, health, and safety concerns rather than creating a new regulator.
The U.S. also seeks possible rules for regulating AI models to establish ethical practices that benefit society. Is “risk-based” regulation the best method to preserve pro-innovation environments?
🛠TRENDING TOOLS
🧠Mindpal builds ChatGPT-like AI agents for your tasks with your data.
🎤Castmagic transforms long-form audio into ready-to-use content assets instantly.
📊Kyligence revolutionizes your analytics by providing an AI copilot for your data and metrics.
🌹Rose eliminates hours wasted finding, cleaning, visualizing, and transforming data by using the power of AI.
🧩AI Suggests instantly generates ready-to-use content and innovative ideas for your business.
💰VENTURE CAPITAL UPDATES
HiddenLayer raises $50M to bolster the defense of enterprise AI models.
Pyron secures $100M to index and analyze enterprise data.
Darrow raises $35M for an AI tool that parses public documents for class action lawsuit potential.
💼WHO’S HIRING?
🤖PROMPT OF THE DAY
EMAIL MARKETING
💥Subject Lines
Write marketing copy to make my email marketing more engaging. I am promoting [Product Name], which focuses on [Product Details]. What subject lines would you suggest for a sequence of 3 emails?
Product Name = [Insert Here]
Product Details = [Insert Here]📒FINAL NOTE
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