Welcome to this new edition!

In Today’s Menu:

• AI-related Quote

• AI-ducation: The Birth of AI

• AI decrypted: What is Natural Language Processing?

• Top 3 News of the Week

• AI story: Ilya Sutskever

• Extra News

• Image of The Day

The AI-related Quote

The AI-ducation

The Birth of AI

AI began as a dream. In the 1950s, a man named Alan Turing asked a big question: Can machines think? This idea was the start of artificial intelligence.

In 1956, a group of scientists met at a summer workshop. They wanted to build machines that could learn and solve problems like humans. They called this "artificial intelligence." This meeting is now known as the birth of AI.

At first, AI was very simple. It could only solve small problems. But over the years, it grew smarter. Computers became faster, and scientists learned new ways to train AI.

Today, AI is everywhere. It helps us with things like online searches, self-driving cars, and even recommending movies. But it all started with that one question: Can machines think?

This simple idea changed the world. And AI keeps growing, learning, and helping us in new ways every day.

The AI Decrypted

What is Natural Language Processing (NLP)?

Natural Language Processing, or NLP, is the part of AI that helps machines understand human language. Think of it as teaching a computer to read, write, and talk like a person.

When you use a virtual assistant like Siri or Alexa, you're using NLP. It helps the AI understand your questions and give useful answers. NLP also works in things like translation apps, which change one language into another.

NLP breaks down language into smaller parts. It looks at the words, their meanings, and their use in sentences. This helps the AI understand what you really mean, not just the individual words you use.

Thanks to NLP, machines can read and respond to emails, answer questions, and even chat with us. It's a key part of making AI more useful in our daily lives.

The 3 News of the Week

#1 - Mistral goes multi-modal with Pixtral 12b

Mistral AI has launched Pixtral 12B, a new multimodal AI model. It can process both text and images using 12 billion parameters. The model includes a computer vision adapter with 400 million parameters, allowing users to add images via URL or encode them in the text. Pixtral 12B can perform tasks like image captioning and object counting. It’s available as open-source on GitHub and Hugging Face under the Apache 2.0 license, allowing developers to train and adapt it for their own needs.

#2 - Anthropic Launches Claude Enterprise to Compete with ChatGPT

Anthropic has introduced Claude Enterprise, a new plan for businesses using its AI chatbot, Claude. This plan offers enhanced security and control for enterprise customers. Similar to OpenAI’s ChatGPT Enterprise, Claude Enterprise allows businesses to upload their own data, making the AI a company-specific assistant. It can analyze documents, answer questions, and even create web pages.

Claude Enterprise offers a larger context window of 500,000 tokens, enabling it to process more data in one go, like long documents or code. It also includes features like GitHub integration and workspaces for team collaboration. Anthropic promises not to train on customer data, ensuring privacy and security.

With this launch, Anthropic aims to attract more large companies and compete directly with OpenAI’s popular business solution.

#3 - Harrison.ai Launches Radiology-Specific AI Model for Healthcare

Harrison.ai, an Australian health tech startup, has introduced Harrison.rad.1, a vision language model designed specifically for radiology. This AI model can analyze radiology images, answer open-ended questions, detect findings, and generate structured reports. Unlike general AI models, Harrison.rad.1 is trained on millions of real-world radiology images and data, making it highly accurate for clinical tasks.

The model has already outperformed other AI models in radiology exams, scoring on par with experienced human radiologists. Harrison.ai aims to use this technology to improve diagnostic accuracy and help doctors save time on repetitive tasks, allowing them to focus on patient care.

The AI Story

Ilya Sutskever

Ilya Sutskever is a co-founder and Chief Scientist at OpenAI. He played a key role in creating advanced AI models like GPT, revolutionizing how machines understand and generate language. Before OpenAI, he contributed to deep learning at Google Brain, improving neural networks that power modern AI.

Sutskever’s work has been instrumental in making AI more accessible and impactful across industries. Today, he continues to lead cutting-edge AI research, shaping the future of technology.

The Extra News

• OpenAI’s o1, Explained → here

• Nvidia CEO: "We can't do computer graphics anymore without artificial intelligence" → here

• Meta fed its AI on almost everything you’ve posted publicly since 2007 → here

Image of The Day

Prompt: 
A broken match tied with twine on black background, eye-catching, macro photography, stock photo.

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