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- 🤖 Microsoft’s AI Copilot Update
🤖 Microsoft’s AI Copilot Update
PLUS: Google DeepMind’s AlphaFold 2 Advances Drug Discovery

Welcome back AI enthusiasts!
In today’s AI Report:
🦾Microsoft’s AI Copilot Update
💊Google DeepMind’s AlphaFold 2 Advances Drug Discovery
🛠5 Trending Tools
💰Venture Capital Updates
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
MICROSOFT
🦾Microsoft’s AI Copilot Update

Microsoft’s new updates include a Windows AI Copilot that performs operating-system functions and answers questions with up-to-date information.
Key Details:
When users access the AI Copilot icon in the taskbar or perform the Windows+C keyboard shortcut, a panel appears on the display to interact with the new virtual assistant.
Microsoft’s AI Copilot resembles OpenAI’s ChatGPT. It creates human-like text, composes emails, answers questions, and performs actions in Windows.
PC-specific features in the Windows Copilot include the ability to open apps, toggle dark mode, turn on Bluetooth, and perform screenshots.
Why It’s Important:
By learning usage patterns and offering recommendations based on preferences, AI Copilot could transform how we interact with computing, unlocking a new wave of productive growth.
Unlike conventional AI models, AI Copilot masterfully blends website intelligence, real-time user activity, and your work data to pioneer a cohesive experience.
💊Google DeepMind’s AlphaFold 2 Advances Drug Discovery

DeepMind revealed an update to AlphaFold 2, an end-to-end solution to the protein structure prediction problem.
Key Details:
The latest model can generate predictions for nearly all molecules in the Protein Data Bank (PDB), frequently reaching atomic accuracy.
The update unlocks a new understanding of complex systems like protein interactions, cell signaling pathways, and genome editing tools.
The model improves accuracy in multiple critical biomolecule classes, including ligands (i.e., small molecules), proteins, and nucleic acids (i.e., DNA and RNA).
Why It’s Important:
AlphaFold 2’s expanded capabilities and performance can help accelerate biomedical breakthroughs and provide insights into the functioning of disease pathways, genomics, biorenewable materials, plant immunity, and mechanisms for drug design.
The model predicts highly accurate structures measured against experiment results. The results allow biologists to use computational structure prediction as a core tool in scientific research.
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💰VENTURE CAPITAL UPDATES
💼WHO’S HIRING?
🤖PROMPT OF THE DAY
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📒FINAL NOTE
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