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#DeepLearning

5 posts5 participants0 posts today

#Zoomposium with #KonradKording: "How do #machines 🤖 #think 🧠?"

In our latest Zoomposium episode on #AI research we interviewed the renowned German physicist and neuroscientist Prof. Dr. Konrad Körding.

Known for the influential article "Could a Neuroscientist Understand a Microprocessor?" (2017) with Eric Jonas, Konrad explored Atari games like Donkey Kong on a MOS 6502 processor to analyze its "logic gate network" with neuroscientific methods.

The surprising conclusion: even simple artificial systems can surprise us, and understanding the brain—or deep learning—remains profoundly challenging.

We discussed the possible "cognitive processes in machines" and how AI might think in ways similar or different to human brains.

📎 More: philosophies.de/index.php/2024

📽️📽 r: open.spotify.com/episode/37hFN

From the @DSLC :rstats:​chives:

:rstats: Learning Statistics with R: Comparing two means. youtu.be/-_KYR_S4-iA #RStats #statistics

:python: Practical Deep Learning for Coders: Attention & transformers youtu.be/de7EGEX3nhs #AI #DeepLearning #PyData

:rstats: ShinyUI: Web application concepts youtu.be/ibvWVALp19M #RStats #rshiny

Visit dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

:python: An Introduction to Statistical Learning with Applications in Python: Survival Analysis and Censored Data youtu.be/CyzyiwuD9pc #PyData #DeepLearning #AI

From the @DSLC :rstats:​chives:

:rstats: :python: Devops for Data Science: Introduction youtu.be/Ya0EHNfg4WA #RStats #PyData #DevOps

Visit dslc.video for hours of new #DataScience videos every week!

Replied in thread

Logistic regression may be used for classification.

In order to preserve the convex nature for the loss function, a log-loss cost function has been designed for logistic regression. This cost function extremes at labels True and False.

The gradient for the loss function of logistic regression comes out to have the same form of terms as the gradient for the Least Squared Error.

More: baeldung.com/cs/gradient-desce

Ronald van Loon (@Ronald_vanLoon)

HeyGen이 @minchoi를 통해 음성 모방(Voice Mirroring) 기능을 새롭게 공개했습니다. 사용자는 이 기능을 활용해 자신의 음성 스타일을 AI로 재현할 수 있으며, #MachineLearning #ArtificialIntelligence #DeepLearning #ML #MI 해시태그로 관련 기술 논의를 확장합니다.

x.com/Ronald_vanLoon/status/19

X (formerly Twitter)Ronald van Loon (@Ronald_vanLoon) on XHeyGen just dropped Voice Mirroring by @minchoi #MachineLearning #ArtificialIntelligence #DeepLearning #ML #MI cc: @yuhelenyu @marcusborba @ogrisel

Interested in the intersection of #bioimaging and #datascience?

The "Bio-Image Data Science Lectures 2025 @unileipzig / ScaDS.AI Dresden/Leipzig developed by @haesleinhuepf, provide theoretical foundations and practical skills — including #Python programming, #machinelearning, #deeplearning, #LLMs, research data, and software management. Structured over several months, the material is perfect for students, researchers, and #selfstudy.

📝 zenodo.org/records/15858127

OpenAI launches GPT-5 🚀

- “Best model yet” combining speed ⚡ and deep reasoning 🧠

- Improved coding 💻, fewer hallucinations ❌, creative boosts 🎨

- Available to all ChatGPT users (free + Plus); GPT-5 Pro for subscribers

- API access for developers: gpt-5, mini, nano

- Pricing: $1.25M input / $10M output tokens 💰

@Techcrunch@flipboard.com
@techcrunch@threads.net

techcrunch.com/2025/08/07/open

TechCrunch · OpenAI's GPT-5 is here | TechCrunchOpenAI CEO Sam Altman says GPT-5 is the "best model in the world," and aims to make ChatGPT more intuitive to use.
#OpenAI#GPT5#GPT

Recent @DSLC club meetings:

:python: An Introduction to Statistical Learning with Applications in Python: Survival Analysis and Censored Data youtu.be/SPPVmRb2Ij8 #PyData #DeepLearning #AI

From the @DSLC :rstats:​chives:

:rstats: Mastering Shiny: Basic UI youtu.be/hBYkhLT9xfo #RStats #RShiny

:rstats: Efficient R Programming: Efficient workflow youtu.be/TpPFbZ0Z0-k #RStats

Visit dslc.video for hours of new #DataScience videos every week!

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