How to Use deep learning in a Sentence

deep learning

noun

• What if this type of deep learning were applied to smart homes?
  — Yessenia Funes, The Verge, 17 Nov. 2023
• Others believe the focus on deep learning may be part of the problem.
  — Will Knight, WIRED, 8 Oct. 2019
• In this study, the researchers used deep learning to try to discover a new type of antibiotic.
  — Tanya Lewis, Scientific American, 20 Dec. 2023
• Unlike the work from the late 1990s, which used static data and never improved, deep learning adapts and gets better.
  — Brooke Borel, Scientific American, 1 Oct. 2018
• The ground of protein science was fertile and ready to yield a deep learning revolution.
  — Quanta Magazine, 26 June 2024
• The same goes for our image generation AI, which is also based on deep learning.
  — Jeremy Kahn, Fortune, 30 Jan. 2024
• Their model, based on a type of deep learning called graph neural networks, established state-of-the-art results in machine olfaction.
  — Ambuj Tewari, The Conversation, 30 May 2024
• In the future, other techniques like deep learning could uncover more, but would require a lot more training data.
  — Celia Ford, Vox, 10 June 2024
• This evolution is driving a surge in demand for specialized skills in deep learning, neural networks and AI ethics.
  — Ramiro Gonzalez Forcada, Forbes, 5 Sep. 2024
• The European scientists set to work making an operational model based on the work of the other deep learning models.
  — Eric Berger, Ars Technica, 3 June 2024
• This concept is used for deep learning model compression and knowledge transfer.
  — Amitkumar Shrivastava, Forbes, 24 Sep. 2024
• So in a recent study, Ham and his colleagues used a deep learning model to parse precipitation data, teasing out the signal of climate change in recent decades.
  — WIRED, 26 Sep. 2023
• In other words, far from being a one-time breakthrough, deep learning has been advanced by a series of small to medium-sized innovations, which are continuing to this day.
  — Remco Zwetsloot, Foreign Affairs, 16 Nov. 2018
• For example, deep learning weather models have proven to be excellent at forecasting the tracks of hurricanes.
  — Eric Berger, Ars Technica, 3 June 2024
• Other kinds of semiconductor innovation, closely tied to advances in deep learning and other forms of AI, are under way.
  — Steven Rosenbush, WSJ, 8 Nov. 2023
• But deep learning has its own problems and has recently caused companies to focus on easy AI problems, such as classifying cats and dogs, where data are abundant.
  — Carl Benedikt Frey, Foreign Affairs, 19 June 2020
• This sent a shockwave through the small community of scientists working with deep learning techniques and weather modeling.
  — Eric Berger, Ars Technica, 3 June 2024
• The goal point is specified relative to a 3D frame attached to the person’s mouth estimated using deep learning models (shown in the RViz visualization video).
  — Evan Ackerman, IEEE Spectrum, 14 July 2020
• These approaches aim to reason more like humans, moving beyond today’s hegemony of deep learning.
  — Stephen Thomas, TIME, 5 Sep. 2024
• The problem was, the pursuit of AGI using ever-larger deep learning models is extremely expensive due to the huge datacenter resources needed.
  — Jeremy Kahn, Fortune, 19 Nov. 2023
• This means deep learning must be used cautiously in critical situations.
  — Will Knight, WIRED, 8 Oct. 2019
• While there is significant indication that deep learning tools will offer greater and greater assistance, AI is far from being able to assist in the entire process of drug creation or remove people entirely from it.
  — Richard Windsor, theweek, 3 Apr. 2024
• Powered by 10 onboard vision-processing units handling almost four gigabytes of data per second, the system uses AI and deep learning to distinguish crops from weeds.
  — Vijay Govindarajan venkat Venkatraman, Harvard Business Review, 17 Apr. 2024
• Acquired by Google in 2014 for its development of a type of artificial intelligence called deep learning, DeepMind has produced a series of dazzling achievements.
  — David A. Shaywitz, WSJ, 6 Nov. 2023
• Stable Diffusion is a deep learning, text-to-image model first released last year by the startup Stability AI, and its publicly available code has been repurposed and modified in ways that violate its user agreement.
  — Miles Klee, Rolling Stone, 17 Oct. 2023
• Applying machine learning to smells Machine learning, and particularly a kind of machine learning called deep learning, is at the core of remarkable advances such as voice assistants and facial recognition apps.
  — Ambuj Tewari, The Conversation, 30 May 2024
• But for optimal performance, deep learning algorithms need to be supported with the right software compiler and hardware combinations.
  — IEEE Spectrum, 6 Dec. 2022
• With the rush toward using tools such as artificial intelligence, machine learning, and deep learning technologies to analyze health data for insights, questions are being raised about how good a job the technologies are doing to improve outcomes.
  — IEEE Spectrum, 23 Aug. 2022
• Getty Images By recording keystrokes and training a deep learning model, three researchers claim to have achieved upwards of 90 percent accuracy in interpreting remote keystrokes, based on the sound profiles of individual keys.
  — Stephen Clark, Ars Technica, 7 Aug. 2023
• The company will help users design next-gen building materials through deep learning and molecular simulation, streamlining design.
  — Byryan Hogg, Fortune Europe, 18 June 2024

Last Updated: 15 Nov 2024