Article #4 of Confronting AI Series: AI's rapid rise brings transformative potential and serious risks; without transparency, regulation, education, and justice, unchecked deployment may entrench bias, erode trust, and harm society more than it helps.
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Article #1 of Confronting AI Series: AI is rapidly evolving beyond language models, quietly transforming fields like vision, prediction, and control. Explore how diverse AI techniques are solving complex challenges where text-based approaches fall short.
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A Review of Presentations from CDFAM Computational Design Symposium Series, Past and Future
8 minutes read
Generative artificial intelligence (GenAI) suffers from several types of biases that reflect human failings. How can we avoid being tricked?
4 minutes read
As seen at CDFAM Computational Design Symposium
4 minutes read
What’s particularly exciting is not just that Gen AI can write code – it’s that it’s beginning to understand context, reduce time spent on boilerplate, and support developers where they work best: in the flow of creation.
3 minutes read
A nuclear engineering graduate student is researching how generative artificial intelligence can speed up nuclear science research.
4 minutes read
A researcher in the Department of Computer Science and Engineering is developing a security-focused large language model to defend against malware.
2 minutes read
It takes ten times more electricity for ChatGPT to respond to a prompt than for Google to carry out a standard search. Still, researchers are struggling to get a grasp on the energy implications of generative artificial intelligence both now and going forward.
6 minutes read
In this episode, we explore how a generative AI tool is marking a major milestone in biology and accelerating advancements in healthcare, genetics, and drug development.
11 minutes read
Trained on a dataset that includes all known living species—and a few extinct ones, Evo2 can predict the form and function of proteins in the DNA of all domains of life, identify molecules useful for bioengineering and medicine
5 minutes read
Yevgeniy Vorobeychik, Ning Zhang and William Yeoh receive $1.5 million DoD grant to enhance multiple facets of generative AI
2 minutes read
NPUs are integrated units that excel in real-time AI tasks on edge devices like smartphones and IoT systems with low power consumption. TPUs are standalone processors designed for large-scale AI workloads in data centers, delivering exceptional performance in deep learning tasks.
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