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#machinelearning

51 Beiträge48 Beteiligte3 Beiträge heute

Advances in temporal graph reasoning to be presented at #ECAI

Researchers from the AI Institute at the University of Stuttgart @Uni_Stuttgart will present a paper tackling key challenges in temporal graph learning. The work, titled “Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning,” will be presented at #ECAI2025, a premier conference in artificial intelligence.

Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning

Temporal graphs are key to understanding dynamic systems—from traffic flow to financial fraud. ETDNet introduces a dual-branch temporal graph neural network that decouples spatial (intra-frame) and temporal (inter-frame) edges.

This design avoids over-smoothing and allows effective long-range reasoning. ETDNet improves driver-intention prediction (75.6% joint accuracy on Waymo) and illicit-transfer detection (88.1% F1 on Elliptic++), while outperforming transformers and memory-bank baselines with fewer parameters and faster training.

O. Mohammed (@osamamohammed), J. Pan, M. Nayyeri, D. Hernández (@daniel), S. Staab. Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning. Proceedings of the 28th European Conference on Artificial Intelligence (ECAI2025). arxiv.org/abs/2508.03251

I developed an app to use Apple’s Foundation Models framework then prompted it to generate a fantasy about an uninhibited island. Here is the first paragraph of the response I got. I think Apple Intelligence is going to be a $1T monster!

#AppleIntelligence#AI#ML

Springer Nature book on #machinelearning is full of made-up #citations
Springer Nature published a $169 machine learning textbook in April containing citations that appear to be largely fabricated, according to an investigation by Retraction Watch. The site checked 18 of the 46 citations in "Mastering Machine Learning: From Basics to Advanced" by Govindakumar Madhavan and found two-thirds either did not exist or contained substantial errors.
retractionwatch.com/2025/06/30

Retraction Watch · Springer Nature book on machine learning is full of made-up citationsWould you pay $169 for an introductory ebook on machine learning with citations that appear to be made up? If not, you might want to pass on purchasing Mastering Machine Learning: From Basics to Ad…

Some years ago ... I raised a few eyebrows for looking at psychedelics in the context of AI & vice versa, like

spheres-journal.org/contributi

but in the age of machines that can bring any vision to life, we have to assume that the weirdest stuff will happen, like

wired.com/story/people-are-usi

this the hyper-plastic future!

spheres-journal.orgThe Electric Kool-Aid Turing Test – Psychedelics, Phenomenology and Automated Intelligence – spheres
#AI#LLMs#machinelearning

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