TECH-TIP TUESDAY

AI PHRASE OF THE WEEK: GRAPHICS PROCESSING UNIT (GPU)

A graphics processing unit (GPU), is an electronic circuit that can perform mathematical calculations at high speed. Computing tasks like graphics rendering, machine learning (ML), and video editing require the application of similar mathematical operations on a large dataset.

DEVELOPING THE NEXT GENERATION OF AI AND ROBOTICS.

“This premier conference on computer graphics and interactive techniques brought together innovators and thought leaders from around the world to explore the latest advancements and trends in the field.”

The event features a blend of in-person and virtual sessions, providing broad accessibility and engagement for attendees.

At the heart of SIGGRAPH 2024, Tech Titans Jensen Huang and Mark Zuckerberg captivated audiences with their insights on AI breakthroughs.

They discussed the vital role of fundamental research in driving innovations in artificial intelligence, emphasizing how generative AI and open-source software are revolutionizing the creative landscape.

Their dialogue highlighted the transformative potential of these technologies for developers and creators, paving the way for new and exciting possibilities in digital creation and beyond.

Huang and Zuckerberg also delved into the future of virtual worlds powered by generative AI.? They explained how these immersive environments serve as crucial platforms for the development of the next generation of AI and robotics.

“By simulating complex scenarios, virtual worlds provide rich training grounds for intelligent systems, fostering advancements that blur the lines between the digital and physical realms.”

Their visionary perspectives underscored the significant impact these technologies will have on shaping the future of AI…

#Digiageentrepreneurs

CHASING POWER!

The explosive growth of generative AI is outpacing the capabilities of the global network of over 8,000 data centers!

AI tasks, such as those performed by ChatGPT, consume significantly more energy compared to standard internet searches, leading to higher power demands.

Additionally, the environmental impact of training large language models is substantial, producing as much carbon dioxide as several gas-powered cars over their entire lifetimes and using water resources equivalent to those of a small nation.

This surge in power consumption underscores the inadequacies of the current energy grid, which struggles to efficiently distribute the required electricity!

To address these challenges, companies like Vantage are strategically locating their facilities nearer to power generation sites to alleviate transmission issues.

The industry is also investing in alternative energy sources and innovative methods to reinforce the energy grid, aiming to support the escalating needs of AI technology.

These measures are crucial for minimizing the environmental impact of AI advancements while ensuring a reliable and sustainable power supply for future technological growth.

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