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The Future of AI: Compute Power, Blockchain, and Sustainability
The rapid development of AI is transforming industries, driven by advances in compute power and blockchain technology. #SamAltman states that we will have #AGI as early as 2027, which is self learning AI or in other words, "infinite data processing and LOTs of compute power".
Compute Power: The Backbone of AI
High-Performance Computing (HPC): With massive parallel processing, companies like #NVIDIA and #AMD are enabling faster AI training. This reduces time to market and enhances the capabilities of AI applications.
Edge Computing: Innovations from companies like #BrainChip are bringing AI processing closer to data sources, facilitating real-time analysis and decision-making. This is crucial for applications in for example autonomous vehicles, smart cities and possibly the training of AI.
Energy Efficiency: New architectures and hardware are not only increasing performance but also reducing energy consumption, making AI development more sustainable.
Blockchain Integration: Securing and Democratizing AI
Secure Data Sharing: Highly secure blockchain platforms like #Cardano ensure data integrity and security in AI model training and deployment. This and their decentralized governance model is essential for maintaining trust in AI systems.
Decentralized AI Training: Distributed ledger technology allows for decentralized and collaborative AI model training, reducing the reliance on centralized data centers.
Transparent AI: Blockchain provides an immutable record of AI model changes and decision-making processes, enhancing transparency and accountability.
The Road Ahead: Green AI and Decentralized Compute Power
The convergence of AI, compute power, and blockchain is paving the way for more sustainable and decentralized technological advancements. To meet the growing demand for green technology, the future will likely see:
- AI Democratization: Wider access to AI tools and resources, enabling businesses of all sizes to harness the power of AI.
- Interoperable Systems: Seamless integration of AI, blockchain, and edge computing technologies, creating a cohesive digital ecosystem.
- Decentralized Compute Power: To achieve sustainability goals, decentralized compute power will become increasingly important, reducing the carbon footprint of AI training.
As we look to the future, the synergy between AI, compute power, and blockchain promises to drive innovation and create more sustainable, transparent, and efficient systems. How is your organization preparing for this next wave of technological advancement?
#AI #ComputePower #Blockchain #Sustainability #Innovation #DigitalTransformation #2024 #BrianChip #Cardano #Nvidia #Googl
Hi Ttm,
Edge AI R us.
Decentralized AI Training: Distributed ledger technology allows for decentralized and collaborative AI model training, reducing the reliance on centralized data centers.
On top of that our friends at Edge Impulse are very fond of Akida for this.
Zach (CEO) and Jan (CTO) are on record as enthusing about Akida.
“Edge Impulse is thrilled to collaborate with BrainChip and harness their groundbreaking neuromorphic technology. Akida’s 2nd generation platform adds TENNs and Vision Transformers to a strong neuromorphic foundation. That’s going to accelerate the demand for intelligent solutions. Our growing partnership is a testament to the immense potential of combining Edge Impulse’s advanced machine learning capabilities with BrainChip’s innovative approach to computing. Together, we’re forging a path toward a more intelligent and efficient future,” said Zach Shelby, Co-Founder and CEO at Edge Impulse."
Zach Shelby, Co-Founder and CEO, Edge Impulse
https://brainchip.com/episode-19-brainchip-talks-ml-at-the-edge-with-edge-impulse-cto-jan-jongboom/
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