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Artificial Intelligence – Mind Field (Ep 4)
Byn0cadminSo you say you love your computer or smartphone…but can it love you back? As we become more dependent on technology, and our technology becomes more lifelike, where does the line between human and computer lie? And what happens when our relationships become romantic? In this episode of Mind Field, I look into Artificial Intelligence.
Should we welcome or worry about Artificial Intelligence?
Byn0cadminNo longer the stuff of science fiction, incredible advances in artificial intelligence or A.I. are now a reality. As the technology develops, we’ll experience more of its impact on our lives. So what are the benefits – and the risks? And can regulators keep pace with developers? Presenter: Laura Kyle Guests: Henry Ajder, generative artificial…
Stanford CS25: V3 I Retrieval Augmented Language Models
Byn0cadminJan 25, 2024December 5, 2023Douwe Kiela, Contextual AI Language models have led to amazing progress, but they also have important shortcomings. One solution for many of these shortcomings is retrieval augmentation. I will introduce the topic, survey recent literature on retrieval augmented language models and finish with some of the main open questions. More about…
The Debate Over “Understanding” in AI’s Large Language Models
Byn0cadminAbstract: I will survey a current, heated debate in the AI research community on whether large pre-trained language models can be said to “understand” language—and the physical and social situations language encodes—in any important sense. I will describe arguments that have been made for and against such understanding, and, more generally, will discuss what methods…
AI in Health Care – Promises and Concerns of Artificial Intelligence and Health
Byn0cadminOne of the most intriguing topics in health care for 2024 is the use of Artificial Intelligence in patient care and throughout the workplace. Two experts from UC Davis Health recently met to discuss where we are headed with the use of AI in health care. CEO David Lubarsky and Chief AI Advisor Dennis Chornenky…
MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
Byn0cadminFeb 8, 2018This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.
