From Cells to Silicon: Rethinking AI Through Biology’s New Lens
We look for new inspiration for artificial intelligence systems that can match biology’s remarkable combination of robustness and adaptability.
We look for new inspiration for artificial intelligence systems that can match biology’s remarkable combination of robustness and adaptability.
The next revolution will happen when every aspect of a business is designed with AI and OR in mind. Call this new construct the intelligent enterprise.
The generative AI revolution will bring both disruption and opportunity. Our task is to guide its development in ways that maximize its benefits.
The landscape of artificial intelligence has shifted dramatically, moving well beyond theoretical discussions into an era of practical deployment reshaping our world.
The future of AI lies in the thoughtful application distributed intelligence, social learning of human children, and the emergent properties of complex systems.
Can a one-year-old child really be smarter than our most advanced artificial intelligence systems? The answer might surprise you.
Joseph Byrum, CTO of Consilience advocates for interdisciplinary methods to address ethical and philosophical aspects in AI innovation
Understanding these fundamental differences between human and machine learning is crucial for developing more effective and reliable AI systems.
What truly makes Joseph a multifaceted and visionary leader is that he has achieved remarkable success in not just one but many fields.
Small language models are challenging the notion that bigger is always better, offering a more efficient and specialized approach to NLP tasks.