How a stubborn computer scientist accidentally launched the deep learning boom
NOVEMBER 11, 2024
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the …
NOVEMBER 11, 2024
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the …
Unite.AI
JUNE 25, 2023
The Future of Physics-Aware AI The researchers are optimistic that continued advancements in this dual modality approach might lead deep learning-based AIs to independently learn the laws of physics.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
FEBRUARY 1, 2024
Computer scientists have uncovered […] The post Are LLMs Outsmarting Humans in Crafting Persuasive Misinformation? These sophisticated AI systems can generate human-like text, making them valuable tools for various applications. appeared first on Analytics Vidhya.
Towards AI
SEPTEMBER 7, 2023
An analogy to explain how deep learning works… This member-only story is on us. link] When we talk about artificial intelligence, or AI, we tend to mean deep learning. Let’s begin by imagining a group of computer scientists and a very large elephant in the same room… Read the full blog for free on Medium.
Towards AI
APRIL 5, 2023
Picture created with Dall-E-2 Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, three computer scientists and artificial intelligence (AI) researchers, were jointly awarded the 2018 Turing Prize for their contributions to deep learning, a subfield of AI. Join thousands of data leaders on the AI newsletter.
MAY 31, 2023
The EU’s draft AI Act touches on traceability and deepfakes, but it doesn’t specifically address generative AI–deep-learning models that can produce high-quality text, images, or other content based on its training data. Lanier views generative AI as a social collaboration that mashes up work done by humans.
IBM Journey to AI blog
JULY 6, 2023
IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won. Python is the most common programming language used in machine learning.
Let's personalize your content