The AI world never sleeps, in this fifth installment, we look at the latest seismic shifts in the industry. From Mistral AI’s new models to Google and Nvidia’s collaboration, and how major players are making power moves, here's a look at the most exciting developments in artificial intelligence over the past week.

From Bits to Atoms: How AI is Driving Tech's Nuclear Renaissance

Major tech companies like Google, Microsoft, Amazon are making significant moves into Nuclear energy to power their growing artificial intelligence ambitions and meet their ambitious renewable energy goals. This push is driven by the increasing energy demands of AI technologies and massive data centers.

Mistral Unveils On-Device AI Models Les Ministraux

Mistral AI launches Les Ministraux: Ministral 3B and Ministral 8B models. Designed for edge applications, these state-of-the-art models deliver local, privacy-first inference for tasks like on-device translation and autonomous robotics.

The internal benchmarks outperform comparable Llama and Gemma models making them world’s best edge models.

Supercharge AI Deployment: GKE and NVIDIA NIM Join Forces

Nvidia and Google collaborate to offer a powerful solution for scaling AI inference workloads. NVIDIA NIM + Google Kubernetes Engine (GKE) accelerates AI inference, providing secure, reliable, and high-performance inferencing at scale with simplified deployment

Revolutionizing Business Intelligence: Lenovo's Hybrid AI Advantage Powered by NVIDIA

Lenovo's Hybrid AI Advantage with NVIDIA is a comprehensive AI solution aimed at accelerating AI adoption and improving ROI for businesses. The broader scope covers personal AI, enterprise AI, and public AI platforms, allowing access to relevant intelligence across these domains.

GITEX GLOBAL Dubai

GITEX GLOBAL 2024 has prominently featured 5G and AI, showcasing their potential to shape a hyperconnected future. The event attracted 200,000 attendees, including 6,500 exhibitors from 180 countries, solidifying its status as the largest tech gathering worldwide.

Bias in AI: The AI Equality Dilemma

Should AI models treat every one the same? Having tried the major models the amount of bias significantly perpetuates existing social inequalities by embedding historical prejudices into algorithms, which then influence critical areas like hiring, law enforcement, education and healthcare.

Here are the results for top 5 undergraduate courses in UK based on gender from my prompt! If you add the race, then Social work and African American studies make the list to Top 5.

The very algorithms designed to assist us can perpetuate harmful stereotypes. If we don’t address bias in AI now, we risk creating a future where the machines are just as prejudiced as some of the people who built them.

What’s your experience, have you faced or seen the bias in AI, please share your thoughts in the comments section. With this we complete this week’s newsletter, hope you have enjoyed the insights.

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