Experts Tackle Ethical Challenges of Artificially Aware AI Systems. As AI systems become increasingly aware and integrated into our daily lives, experts at a recent workshop explored the complex ethical landscape surrounding their development, governance, and societal impact, aiming to ensure these technologies align with human values and global ethical standards.

Jan 22, 2025 · Neuromorphic computing systems must scale by emulating the brain’s energy-efficient sparsity, hierarchical organization, and dynamic learning, while addressing hardware/software co-design and collaboration gaps. Researchers outline a roadmap to bridge lab prototypes to real-world AI, robotics, and ...

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Jan 23, 2025 · Successful AI adoption isn't just about technology; it's about managing employees' emotions and trust. Research from Aalto University shows that without addressing emotional responses, companies struggle to capitalize on AI's potential, with four in five failing to achieve expected benefits.

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Jan 8, 2025 · Research: One-core neuron deep learning for time series prediction.Image Credit: Iuliia Pilipeichenko / Shutterstock. The deep learning field has been dominated by "large models" that require massive computational resources and energy. This has led to unsustainable environmental and economic challenges. To address this, researchers have developed the one-core-neuron system (OCNS), a novel ...

Jan 22, 2025 · Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction.

Jun 24, 2024 · This exploration delves into the rapid transformation of grading and assessment systems through the integration of Artificial Intelligence (AI). It traces the evolution of assessment methodologies, highlighting the advantages and challenges of AI-driven grading. The article emphasizes the efficiency, objectivity, and personalized learning experiences enabled by AI, while addressing ethical ...

Oct 24, 2024 · Perspective: Promises and challenges of generative artificial intelligence for human learning.Image Credit: vectorfusionart / Shutterstock. In an article published in the journal Nature Human Behaviour, researchers discussed the potential of generative artificial intelligence (GenAI) in transforming human learning by offering scalable personalized support, diverse materials, timely feedback ...

Dec 5, 2024 · Researchers explored cutting-edge watermarking techniques for generative AI outputs, enhancing detection, transparency, and resilience against adversarial attacks to ensure trust and accountability in AI-generated content.