Human-Centric Artificial Intelligence for Innovation

Explore the potential of Human-Centric Artificial Intelligence for groundbreaking innovation.

The concept of Human-Centric Artificial Intelligence emphasizes the role of Artificial Intelligence technologies designed with a primary focus on human needs and experiences. This approach contrasts with traditional AI models, which often prioritize performance metrics over user-centric design.

Incorporating human-centered design into Artificial Intelligence systems aims to create more accessible, transparent, and inclusive technologies. It ensures that AI solutions are not just efficient but also ethical and relatable, fostering trust and broader adoption among users.

By prioritizing user experiences and ethical considerations, Human-Centric Artificial Intelligence promises to drive innovation while addressing societal challenges, ultimately serving as a catalyst for breakthroughs in various fields.

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IBM and AMD partner on quantum-centric supercomputing

IBM and AMD announced plans to develop quantum-centric supercomputing architectures that combine quantum computers with high-performance computing to create scalable, open-source platforms. The collaboration leverages IBM´s work on quantum computers and software and AMD´s expertise in high-performance computing and Artificial Intelligence accelerators.

Qualcomm launches Dragonwing Q-6690 with integrated RFID and Artificial Intelligence

Qualcomm announced the Dragonwing Q-6690, billed as the world’s first enterprise mobile processor with fully integrated UHF RFID and built-in 5G, Wi-Fi 7, Bluetooth 6.0, ultra-wideband and Artificial Intelligence capabilities. The platform is aimed at rugged handhelds, point-of-sale systems and smart kiosks and offers software-configurable feature packs that can be upgraded over the air.

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