🤖 Lab of AI Agents Design COVID-19-Fighting Proteins

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In today’s Daily Report:

• 🔬Lab of AI Agents Design COVID-19-Fighting Proteins

• 😳Half of AI Data Centers Won’t Have Enough Power By 2027

• 🇺🇸OpenAI’s Blueprint for U.S. AI Infrastructure

• 🛠Trending Tools

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

AI AGENTS

🔬Lab of AI Agents Design COVID-19-Fighting Proteins

Researchers at Stanford University (“Stanford”) developed “The Virtual Lab,” a framework that enables four specialized AI agents to collaborate on scientific challenges.

Key Details:

• “The Virtual Lab” relies on the Principal Investigator (PI), which coordinates tasks between the four specialized AI agents.

• For example, the PI holds structured meetings that allow the four specialized AI agents to discuss and refine their work.

• Here’s the team of four specialized AI agents:

  1. Immunologist: Proposes a scientific hypothesis related to the immune system, a complex network of cells, tissues, and organs that protect the body from harmful infections.

  2. Scientific Critic: Acts as a critical thinker, evaluating the strengths and weaknesses of scientific arguments and experimental designs.

  3. Data-Driven Specialist: Extracts meaningful insights from complex datasets by identifying reoccurring patterns.

  4. Computational Biologist: Applies computational techniques to biological problems.

• Over 90% of the AI-designed molecules in “The Virtual Lab” were stable and worked as intended when produced in labs by human scientists.

Why It’s Important:

• “The Virtual Lab” successfully designed 92 Nanobody candidates to fight the SARS-CoV-2 Virus, a strain of the Coronavirus (COVID-19).

• A Nanobody is a small, artificially designed antibody that can fight against various diseases.

AI AND ENERGY

😳Half of AI Data Centers Won’t Have Enough Power By 2027

According to research firm Gartner, the AI boom has led to a surge in data center construction, raising concerns about the world’s ability to generate enough electricity for widespread AI adoption.

Key Details:

• AI models require immense computational resources (e.g., memory, processing power, and cooling systems), which translates to massive energy consumption.

• In many regions, the power grid infrastructure isn’t designed to handle this sudden increase in energy consumption.

• New data centers demanded 195 terawatt-hours (TWh) of electricity last year. That’s as much electricity as 18 million households per year.

• By 2027, new data centers could require 500 TWh, or 46 million households, worth of electricity.

• “The explosive growth of new data centers to fuel AI models is creating an insatiable demand for power that’ll exceed the utility of electricity providers,” said Bob Johnson, Vice President (VP) Analyst at Gartner.

Why It’s Important:

• Tech Giants are investing billions of dollars into nuclear power due to the growing demand for AI applications.

• For example, Amazon Web Services (AWS) recently invested over $500 million into Small Modular Reactor (SMRs): smaller, more efficient nuclear reactors designed to be built in factories and shipped to operational sites for installation.

🩺 PULSE CHECK

OPENAI

🇺🇸OpenAI’s Blueprint for U.S. AI Infrastructure

OpenAI developed a “Blueprint For U.S. AI Infrastructure,” which calls for AI Economic Zones, a North American AI Alliance, and Power Grid Upgrades.

The AI Economic Zones will allow states to fast-track permits and approvals for AI infrastructure projects.

The North American AI Alliance is a coalition of Western countries that promotes favorable regulatory environments to attract AI research, AI developments, and AI deployments.

The Power Grid Upgrades aim to promote nuclear power as a stable, cost-effective energy source that offers continuous energy output. AI is creating a surge in energy consumption as data centers host the immense computational resources required to run AI applications. The U.S.’s aging power grid infrastructure is ill-equipped to handle this electricity load.

“AI presents an unmissable opportunity to reindustrialize the U.S. and, through that, generate the kind of broad-based economic growth that’ll revitalize the American Dream,” said OpenAI CEO Sam Altman.

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💰FUNDING FRONTLINES

• Accelsius secures a $24M Series A to efficiently cool AI data centers.

• Recogni raises a $102M Series C to develop AI inference compute solutions.

• Zero Gravity Labs closes a $290M Financing Round to build a blockchain-based decentralized AI framework.

💼WHO’S HIRING?

• Microsoft (Redmond, WA): Applied AI for Science, Summer 2025

• Adobe (New York City, NY): Software Engineering Intern, Summer 2025

• quantiphi (Boston, MA): Research Engineer Intern, Life Sciences, Summer 2025

• The Washington Post {TWP} (Washington, DC): Applied Machine Learning {ML} Scientist, Summer 2025

• Nvidia (Santa Clara, CA): Research Scientist, Robotics, New College Grad 2025

🤖PROMPT OF THE DAY

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📒FINAL NOTE

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