The system uses reconfigurable electromechanical building blocks to create structural electronics.
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Human-Computer Interaction
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Imagine a world where devices respond instantly to your voice commands without relying on cloud processing—that's now possible with keyword spotting. Read more to discover how it is revolutionizing voice-enabled technology.
4 minutes read
Columbia AI Summit keynote speaker Sami Haddadin discusses AI that interacts with the physical world—and what it could mean for human potential.
4 minutes read
New research uses AI to improve training of sensorimotor skills in human subjects, with potential applications ranging from performing surgery to perfecting tennis serves.
2 minutes read
For this article we interviewed Niwa and Omura, who are responsible for the design, development, and operation of the system, as well as Toda, who requested its development and is also a user.
9 minutes read
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
Liu and team receive NSF EFRI grant for biocomputing research
Fine-tuning large language models adapts pre-trained models to specific tasks or domains using tailored datasets, while Retrieval-Augmented Generation (RAG) combines retrieval systems with generative models to dynamically incorporate external, up-to-date knowledge into outputs.
When Nikola Tesla predicted we’d have handheld phones that could display videos, photographs, and more, his musings seemed like a distant dream. Nearly 100 years later, smartphones are like an extra appendage for many of us.
When you think about hands-free devices, you might picture Alexa and other voice-activated in-home assistants, Bluetooth earpieces, or asking Siri to make a phone call in your car. You might not imagine using your mouth to communicate with other devices like a computer or a phone remotely.
Recognizing Groundbreaking Research in AI, Quantum, and Neuro-Inspired Computing
In this episode, we chat with Karsten Roscher - a renowned AI expert at the Fraunhofer Institute for Cognitive Systems IKS - about the importance of safety in AI products, the current challenges facing experts, and what the future holds.
Researchers have found that AI large language models, like GPT-4, are better at predicting what comes next than what came before in a sentence. This “Arrow of Time” effect could reshape our understanding of the structure of natural language, and the way these models understand it.
3 minutes read
The DFKI-technology collects countless impressions, interprets them and can suggest an appropriate action using MLLM.
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
