Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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A.I.
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Explore the future of connected communities in intelligent cities and underserved regions, highlighting the role of technologies like 5G, AI, and blockchain in enhancing connectivity and promoting inclusive development.
LLMs and GenAI lower barriers to accessing intelligence, shifting AI systems to be built and controlled by domain experts. In the future, organizations can use large scale LLM models instead of building custom machine learning models, impacting sectors like manufacturing and supply chain partners.
Researchers at EPFL have made a breakthrough in understanding how neural network-based generative models perform against traditional data sampling techniques in complex systems, unveiling both challenges and opportunities for AI's future in data generation.
3 minutes read
In a broad sense, "machine vision" refers to the utilization of visual information and optical information using digital technologies.
6 minutes read
In this episode, we discuss how 2 Carnegie Mellon University graduate students developed an AI system capable of giving you feedback on your interview performance in real time!
14 minutes read
In this podcast, Sean Hehir, CEO of BrainChip, chats with Dr. Jason K. Eshraghian about neuromorphic computing benefits over traditional AI and its potential to revolutionize the future of computing. Listen in to learn how this emerging technology is shaping the world of AI.
The method, which combines a ChatGPT-like large language model with information about a protein’s 3D shape, could make it easier and faster to develop better medicines for infectious diseases, cancer, and other conditions.
4 minutes read
Silicon Valley students use AI to help job seekers improve performance and build confidence.
3 minutes read
The logistics industry today is grappling with multi-layered challenges, prominently among which is sustainability.
The upcoming "Machine Learning for Safety Experts" training by SAE and Fraunhofer IKS in Munich on October 22-23, 2024 is a timely initiative. It will address this crucial skill gap and ensure engineers are well-equipped to handle the intricacies of safe Machine Learning applications.
Someday, you may want your home robot to carry a load of dirty clothes downstairs and deposit them in the washing machine in the far-left corner of the basement. The robot will need to combine your instructions with its visual observations to determine the steps it should take to complete this task.
In this episode, we discuss research coming out of the Karlsruhe Institute of Technology to detect the emotions of tennis players better than humans can!
13 minutes read
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
The promise and limitations of large-language models in the energy sector
3 minutes read
The Vision, Robotics & Motion trade event, held annually in Brabanthallen, 's-Hertogenbosch, Netherlands, successfully concluded its 2024 edition on June 5th and 6th.