このポッドキャストについて 🔗
"Does Compute" is the podcast where we delve into the latest innovations in computer science, with help from experts at Carnegie Mellon University School of Computer Science. Join us as we explore the real world impacts that computer science is having on our lives and our future. We'll look at AI's challenges and opportunities; how new research is influencing fields like health care and education, technology and the environment; and much more. Whether you're a tech enthusiast or just curious about how computer science is building useful stuff that works, tune in as we hear from some of the brightest minds in the field and uncover remarkable ways that computer science is shaping our world.
ホスト:
更新頻度:
weekly
平均音声長:
30 minutes
ゲストインタビュー
スポンサーがいる
英語
アメリカ合衆国
31 エピソード
2024年8月29日から
episodic
最新エピソード 🔗
What role can AI play in clinical settings? Chenyan Xiong, an associate professor in the Carnegie Mellon University School of Computer Science, says foundation models provide opportunities to handle all kinds of data, including medical imaging, blood tests, data from wearable devices and doctors&rs…
以前のエピソード 🔗
Can AI foster greater empathy between people? Maarten Sap, an assistant professor in the Carnegie Mellon University School of Computer Science, thinks it’s possible. He returns to the podcast to talk about cultural adaptation, the value of storytelling and why the ongoing conversation about A…
From fitness trackers to thermostats, technology is only as useful as it is accessible. But much of the tech we use isn’t designed with ability differences in mind. Patrick Carrington, an assistant professor in Carnegie Mellon University’s School of Computer Science, says that consideri…
Certain corners of the internet are still hubs for human trafficking. But Cara Jones, co-founder and CEO of CMU spin-off Marinus Analytics, thinks ending this kind of exploitation is possible. Learn about how Marinus’s AI tool suite, Traffic Jam, identifies instances of human trafficking onli…
How is neuroscience shaping the future of AI? Aran Nayebi, an assistant professor in the Carnegie Mellon University School of Computer Science, explains why studying animal behavior can inspire more capable autonomous systems, and what we can learn from cats and zebrafish.
See omnystudio.com/listen…
The use of wearable technology has exploded in the last decade, and along with it, a host of questions about data sharing, privacy and regulation. Chris Harrison, professor in the Carnegie Mellon University School of Computer Science, joins the podcast to discuss privacy versus convenience, the spe…
How do you start a supersonic jet company from scratch? For Blake Scholl, a computer science degree was the first step. Scholl, founder and CEO of Boom Supersonic and Carnegie Mellon School of Computer Science alum, talks silencing the sonic boom, designing the future of air travel and how a fondne…
Though robots are becoming more capable, training them to move through our world with knowledge that humans intuit is incredibly difficult. But through rethinking the concept of safety, incorporating new kinds of data and finding the value in failure, Andrea Bajcsy, an assistant professor in the Ro…
Welcome to Does Compute, the podcast where we explore how computer science is changing our world, from artificial intelligence and robotics to ethics, policy, and culture. In each episode, we meet the people behind the technology and ask the questions driving their work. Does Compute is produced by…
Teaching computer science is an ever-evolving practice, and with the explosion of large language models that can source information in the blink of an eye, Anil Ada knows he doesn't have all the answers. Ada, an associate teaching professor at Carnegie Mellon University, helms one of the core cours…
免責: このページに埋め込まれているポッドキャストとアートワークは GeekWire Studios からのものであり、その所有者の所有物であり、Listen Notes, Inc. と提携または承認されていません。
ポッドキャスト検索エンジン
当社の Web サイトを使用して、人、場所、トピックごとに 3,827,855 ポッドキャストや 196,291,185 エピソードを検索できます。
知識への投資は最も大きな利益をもたらす。だから私はポッドキャストを聴く。
‐ Benjamin "Llamacorn" Franklin
このポッドキャストについてクレームする
Why to claim podcasts?
If you are a podcaster, the best way to manage your podcasts on Listen Notes is by claiming your Listen Notes
podcast pages.
It is a great, free way to engage the podcast community and increase the visibility of your podcasts.
After claiming your Listen Notes podcast pages, you will be able to:
✓
Manually refresh the RSS feed to sync up
✓
Get a verified badge (
✓
) alongside with your podcast name on Listen Notes
✓
Post クラシファイド広告 for sponsorship,
guests, co-hosts,
cross-promotion...
✓
Respond to listener comments on Listen Notes
✓
Use speech-to-text techniques to transcribe your show and
edit transcripts
✓
Improve the presence of your podcasts, e.g., self-service
ポッドキャスターインタビュー...
✓
If you share your Listen Notes page and at-mention @ListenNotes
on X (formerly Twitter),
公式 X（旧 Twitter）アカウント will retweet to promote
your show to our followers.
Coming soon:
◯ Self-service promotion on Listen Notes
◯ Track your podcast stats on Listen
Notes, e.g., listens, page
views...
◯ Manage episodes
