Machine learning using artificial neural networks, a technology inspired by the structure of the brain, is central to artificial intelligence. The brain's neurons are represented by nodes, and their interactions are represented by connections that can be strengthened or weakened during training. John Hopfield's research, beginning in the 1980s, was crucial for the development of machine learning. His Hopfield network is an associative memory, analogous to a system of atomic spins in physics, that can store and reconstruct patterns, such as images, by adjusting connection strengths between nodes. Building on Hopfield's work, Geoffrey Hinton developed the Boltzmann machine, which can autonomously discover properties in data, leading to applications like image recognition. Today, neural networks enable computers to perform tasks like making predictions, interpreting images, and engaging in human-like conversations.

[Source]

https://doi.org/10.1038/s41746-024-01345-9

Deep Dive into the European Union is taking a proactive approach to regulating artificial intelligence (AI) with the AI Act, which comes into full effect on February 2, 2025. The Act focuses heavily on high-risk AI systems, those with potential to impact safety, fundamental rights, or societal well-being. Providers of these systems are obligated to implement robust risk management, ensure transparency and human oversight, and maintain data quality. They must also undergo conformity assessments before placing their AI systems on the market and conduct ongoing post-market monitoring. However, the Act doesn't just focus on high-risk systems. It also introduces specific obligations for providers of general-purpose AI models, like large language models. These providers are required to maintain detailed technical documentation, provide transparency information to downstream providers, and implement measures to mitigate potential systemic risks. The Act further establishes a system for identifying and registering AI systems, with stricter requirements for those used in sensitive areas like law enforcement. While the Act's requirements are stringent, the EU emphasizes a collaborative approach, actively engaging in stakeholder consultations and providing guidelines to ensure clarity and consistency in implementation.

[Source]

https://eur-lex.europa.eu/eli/reg/2024/1689/oj

In this episode of Deep Dives with DrPr, we explore how artificial intelligence is transforming the world of chip design. From automating complex processes to optimizing performance at unprecedented scales, AI is reshaping how chips are conceived, developed, and manufactured. Discover the latest innovations, challenges, and what this revolution means for the future of computing and industries worldwide. Join us as we dive into the fascinating intersection of AI and semiconductor technology!

In this episode of Deep Dives with DrPr, we explore France's ambitious France 2030 strategy for advancing artificial intelligence and driving technological innovation. Marking the third anniversary of this landmark initiative, we dive into its key achievements, ongoing projects, and the nation's vision for a future powered by AI. From fostering research excellence to building an AI-ready workforce, discover how France is positioning itself as a global leader in responsible AI development. Tune in for insights into the challenges, progress, and what's next for this bold roadmap to the future.

[Source]

OUR AI: OUR AMBITION FOR FRANCE

Donner un sens à l'intelligence artificielle

https://fichiers.acteurspublics.com/redac/pdf/2018/2018-03-28_Rapport-Villani.pdf

France 2030 fête ses 3 ans

https://www.info.gouv.fr/actualite/france-2030-fete-ses-3-ans

[Last Accessed: 29 November 2024]

In this episode, we dive into Sweden's ambitious roadmap for advancing artificial intelligence (AI) in a responsible and sustainable manner. We explore the country's strategic approach to integrating AI across industries while ensuring ethical practices, data security, and environmental sustainability. Join us as we discuss Sweden's vision for AI's role in society, the challenges ahead, and the key steps needed to build a future where innovation and responsibility go hand in hand.

[Source]

AI-kommissionens Färdplan för Sverige

[Available]

https://www.regeringen.se/contentassets/11431c781ff746b3b7a49312fa4de624/ai-kommissionens-fardplan-for-sverige.pdf

[Last Accessed: 29 November 2024]

In this episode, we explore the transformative technology of System on Chip (SoC) architectures, where multiple components are integrated into a single chip to power everything from smartphones to advanced AI systems. Discover how SoCs are reshaping the landscape of AI, offering greater efficiency, speed, and scalability for embedded systems. Join us as we break down the design, evolution, and future of SoCs in enabling smarter, more compact AI solutions.

In this episode, we dive deep into Coarse Grain Reconfigurable Array (CGRA) architecture, exploring its potential to revolutionize resource-constrained hardware efficiency. Learn how CGRA is shaping the future of computing and its critical role in enhancing IoT performance.