🎙️ Ukraine's World’s First AI SpokesPerson

Hey There, Human Marvel!

Ukraine Unveils Victoria Shi, the World's First AI Spokesperson, While Microsoft Pumps $2.2 Billion into Malaysia's Tech, and AI Faces an Energy Crisis.

TODAY’S MARVELS

• Ukraine unveils World’s First AI SpokesPerson

• Microsoft's $2.2 Billion Boost: Powering Malaysia's AI Revolution

• AI's Energy Dilemma: The Cost of Intelligence

• Everyday Prompt Engineering

• Further AI & Technology Highlights

AI NEWS

🎙️Ukraine's World’s First AI SpokesPerson

Introducing Victoria Shi:

Ukraine has unveiled Victoria Shi, an AI-generated spokeswoman who will deliver official statements on behalf of its foreign ministry. Dressed in a dark suit, Victoria Shi, a "digital person," gestures and speaks like a real human.

Human-Written, AI-Presented:

While Victoria Shi will deliver statements, they will still be written and verified by real people. The AI's role is in generating the visual presentation. This innovative approach aims to save time and resources for diplomats, marking a technological leap for diplomatic services worldwide.

Behind the Scenes:

Victoria Shi's creators, The Game Changers, modeled her appearance and voice on Rosalie Nombre, a singer from Donetsk. Nombre volunteered for the role, emphasizing her commitment to Ukraine and dispelling stereotypes about mixed-race Ukrainians and Russian speakers.

Ensuring Authenticity: 

To prevent misinformation, official statements by Victoria Shi will be accompanied by QR codes linking to text versions on the ministry's website. This ensures transparency and authenticity in communications.

MICROSOFT AI

🖥️ Microsoft's $2.2 Billion Boost: Powering Malaysia's AI Revolution

Overview: 

Microsoft CEO Satya Nadella announced a $2.2 billion investment in Malaysia's cloud and AI infrastructure, with a focus on establishing a national AI center. This initiative underscores Microsoft's commitment to driving innovation and economic growth in Malaysia.

Highlights:

• The investment includes AI training for 2.5 million people across Southeast Asia, with an additional 300,000 in Malaysia.

• It aims to enhance cybersecurity capabilities and support Malaysia's developer community.

• The national AI center will serve as a hub for AI development and regulatory compliance, aligning with Malaysia's goal of becoming an AI leader.

Importance:

Microsoft's investment signals a significant step towards advancing Malaysia's tech ecosystem. By fostering AI development, the initiative aims to position Malaysia as a leader in the region, contributing to economic growth and innovation while ensuring inclusivity and governance in AI adoption.

ENERGY

AI's Energy Dilemma: The Cost of Intelligence

Rising Costs of AI Development:

Artificial intelligence's meteoric rise comes with a hefty price tag. Training today's largest AI models requires months to years and hundreds of millions of dollars. For instance, Meta's capital expenditures on AI and metaverse development are set to reach $35-40 billion this year, driving the need for more cost-effective solutions.

The Importance of Efficient AI Inference:

AI inference, the process of making predictions or conclusions, is where the scale and demand of AI are realized. Improved power efficiency in inference not only lowers operating costs but also makes AI more economically viable for businesses. Techniques like weight pruning and precision reduction are crucial for designing efficient models that perform well in inference.

The Path Forward:

Optimizing AI inference is crucial for making AI economically sustainable. As more businesses adopt AI for day-to-day operations, efficient inference becomes paramount to avoid significant jumps in operating expenditure. With AI's increasing role in processing vast amounts of data, efficient inference models are essential for productivity and cost-effectiveness in the AI revolution.

EVERYDAY PROMPT ENGINEERING

TASK: Describe the process of data preprocessing in machine learning.

PROMPT FRAMEWORK: PEEP (Point Example Explanation Point)

DOMAIN: Data Science, ROLE: Data Analyst

Point: "Describe the process of data preprocessing in machine learning."

Example: "Provide an example of how missing values are handled during data preprocessing."

Explanation: "Explain the importance of feature scaling in data preprocessing and its impact on model performance."

Point: "Conclude by discussing the significance of data preprocessing for machine learning models."

NEWS

Further AI & Technology Highlights

• AI Is Helping Referee Games in Major Sports Leagues, but Limitations Remain

• Meta now has an AI chatbot. Experts say get ready for more AI-powered social media

• Japan's Kishida unveils a framework for global regulation of generative AI

• Google integrates Gemini with Chrome

• Avoid boring tasks and save time with AI and chatbots: Here's how