Welcome to this new edition!

In Today’s Menu:

• AI-related Quote

• Partnership with Growth School

• AI-ducation: The Rise of Data Mining

• AI decrypted: What are Decision Trees?

• Top 3 News of the Week

• AI story: John McCarthy

• Extra News

• Image of The Day

The AI-related Quote

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The AI-ducation

The Rise of Data Mining

In the early days of computing, data was just numbers stored in machines. But in the 1990s, scientists realized that hidden within that data were valuable patterns. This realization sparked the birth of data mining.

Data mining is like digging for gold—only the gold is information. It looks for trends, patterns, and insights that are not obvious on the surface. Retailers used it to predict customer behavior, while scientists applied it to uncover new findings in genetics and healthcare. By analyzing vast datasets, data mining helped industries make smarter decisions and predict future outcomes.

Today, data mining is a key part of AI. It powers recommendation systems, fraud detection, and even personalized marketing. As data continues to grow, so does the importance of finding the gems hidden inside.

The AI Decrypted

What Are Decision Trees?

A decision tree is like a map for making choices. It’s a powerful AI tool that helps computers make decisions by breaking problems into smaller parts.

Imagine you’re playing 20 Questions. Every "yes" or "no" answer takes you down a different path, helping you get closer to the right answer. That’s exactly how a decision tree works. It starts with one big question and splits into branches based on possible answers. Each branch leads to more questions until you reach a final decision.

Decision trees are used in everything from diagnosing diseases to suggesting what to watch next on Netflix. They’re easy to understand and highly effective, making them a popular choice in machine learning for solving complex problems.

The 3 News of the Week

#1 - Alibaba Unveils Qwen2.5: A Global AI Challenger

Alibaba has introduced Qwen2.5, an AI model designed for global applications. With parameters ranging from 0.5 billion to 72 billion, it supports 29 languages and is optimized for handling long-form content.

The 72B Qwen2.5 model competes with larger models like Llama 3.1 (405B) and Mistral Large 2 (123B) but boasts fewer parameters. Key features such as Rotary Position Embeddings (RoPE) and SwiGLU activation boost its efficiency in processing complex input while maintaining high accuracy.

#2 - Google AI Helps Decode Whale Songs

Google has launched a new AI model to identify eight whale species by their vocalizations, including the recently attributed “Biotwang” calls of the elusive Bryde’s whale.

This whale bioacoustics model helps scientists monitor whale populations by analyzing 200,000 hours of underwater audio. It builds on Google’s past work with acoustic monitoring, including a model that identified humpback whale calls. The new tool is available for researchers on Kaggle Models, advancing marine conservation efforts.

#3 - Tech Giants Challenge EU’s AI and Privacy Regulations

Tech leaders like Meta and Spotify are raising concerns over the EU’s strict AI and data privacy rules, criticizing the regulatory environment as fragmented and inconsistent.

In an open letter, they argue that laws like GDPR are hindering AI development and innovation in Europe, making the region less globally competitive. Regulatory uncertainty has already caused delays in product launches, with companies calling for more clear and consistent rules to foster AI growth.

The AI Story

John McCarthy

John McCarthy is often called the father of artificial intelligence. In 1956, he organized the Dartmouth Conference, where the term "artificial intelligence" was first used. This event marked the official beginning of AI as a field of study.

McCarthy wasn’t just a visionary; he was also a pioneer in AI programming. He developed LISP, one of the earliest programming languages designed for AI. LISP became the foundation for many AI applications and is still used in some systems today.

Thanks to McCarthy’s contributions, AI became a serious scientific discipline, setting the stage for the advancements we see today. His work continues to influence AI research and development, decades after he first asked, “Can machines be made to think?”

The Extra News

• Do AI models produce more original ideas than researchers?

• Google CEO Sundar Pichai announces $120M fund for global AI education

• Stellantis Deploys AI-enabled Innovations to Boost Manufacturing Efficiency, Sustainability and Improve Workplace

Image of The Day

(Super super long) Prompt: 
“A mesmerizing close-up of a crocodile’s ancient, textured eye, reflecting the peaceful scene of a clean watering hole at dawn, with soft pink and orange skies mirrored in the still water. The crocodile’s rough, scaled skin contrasts sharply with the serene, pastel-colored reflection, creating an intriguing balance between the predator and the calm environment. Shot with a Canon EOS R3 and a 600mm prime lens at f/2.8, the background is beautifully blurred, drawing sharp focus to the intricate textures around the crocodile’s eye and the delicate reflection of the dawn-lit watering hole. Shutter speed set at 1/1600 to capture every detail of the crocodile’s rough skin and the gentle ripples in the water. The soft dawn light creates a peaceful atmosphere, with the warm tones of sunrise reflecting off the water and blending subtly with the earthy hues of the crocodile’s scales, emphasizing a contrast between tranquility and lurking danger”

Thanks for your time!

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