Beat it by having Codex hand-craft weights:
https://t.co/g0T6rklaAY
100% accuracy on 10 million random test cases w/ only 343 parameters. As a bonus, it uses the vanilla Qwen3 architecture, just with the right weights.
Meet the KAUST AI Rising Stars to watch.
As we count down to KAUST's Rising Stars in AI Symposium, we are spotlighting emerging KAUST researchers selected for the originality, impact, and real-world relevance of their work.
Together, they represent the next generation of AI talent emerging from KAUST, aligned with Saudi Arabia’s ambitions and contributing to global progress.
Born near KAUST. Educated at KAUST. Now recognized globally.
Mohammed Khalid Aljahdali wins Best Paper at FLTA 2025 for pioneering research on privacy-preserving AI — proof that Saudi talent is driving the world’s AI frontier.
https://t.co/ocXDQzYs5F
Calling all #STEM leaders!
Applications for graduate studies at #KAUST are now open. This is your opportunity to advance your academic journey in a world-class research environment.
Visit our website and apply now.
#ApplyKAUST
Excited to share our work, "FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging," accepted at MICCAI 2024! Explore our framework & benchmark for real-world distribution shifts in federated medical imaging: https://t.co/x6fkrzkfYE
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🎉 Happy to share my first paper as a PhD student with @MarzyehGhassemi! It's accepted to MICCAI 2024! Here’s a thread:
1/ 🌟 Introducing FedMedICL: A framework for evaluating federated continual learning in medical imaging, capturing label, demographic, and temporal shifts.
Gemini 1.5 Pro has entered the (LMSys) Arena! Some highlights:
-The only "mid" tier model at the highest level alongside "top" tier models from OpenAI and Anthropic ♊️
-The model excels at multimodal, and long context (not measured here) 🐍
-This model is also state-of-the-art in audio 🔊
-It is free 🤑
Try it out: https://t.co/Xkc9xUUupm
The next chapter about transformers is up on YouTube, digging into the attention mechanism: https://t.co/TWNXiWM2az
The model works with vectors representing tokens (think words), and this is the mechanism that allows those vectors to take in meaning from context.
Just read another ChatGPT paper abstract ("We delve into the realm of pivotal breakthroughs to master the intricacies of blah blah bah"). This writing sucks and wastes everyone's time. If you must outsource your writing, tell the LLM to speak plainly and delete all adverbs.
كاوست فيها بكالوريوس؟ .. اذا جاك KGSP .. روح .. و اذا تبغى جامعة في السعودية تشتغل على ابحاث ممتازة .. برضه كاوست .. فر من برامج الدراسات العليا في البقية فرارك من الأسد
I have never rejected an empirical paper on the basis of it containing no theory. I judge such papers on their own merits. Is it too much to ask reviewers to judge a theory paper based on the theory?
Over 2 months since this was noticed & it seems @aclmeeting execs find it optional, since 6 papers of the 10 removed the section, while 4 insisted to keep it.
It even propagated to @NeurIPSConf with 2 papers used similar wording!
Just remember who is setting the standards!
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