🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Hey 🔎Julia Evans🔍, could I use pages 7 and 8 from your containers zine on an undergrad class on OS-level virtualization I'm making? Also, your zines are great!

Dados do Observatório COVID-19 FIOCRUZ: A imagem explícita de um país à beira do colapso sanitário generalizado

Just found this "Distribution Explorer". Looks useful! distribution-explorer.github.io/index.html

(1/9) Presenting: Bayesian Algorithm Execution (BAX) and the InfoBAX algorithm. Bayesian optimization finds global optima of expensive black-box functions. But what about other function properties? w/ @KAlexanderWang Stefano Ermon at #ICML2021 URL: willieneis.github.io/bax-website

I defended last Friday, I'm now a doctor! 🥳 Here's the recording: youtube.com/watch?v=YvfPal…

🔥The ML Reproducibility Challenge is back! The 5th annual edition now expands to cover papers from 9 major ML conferences: NeurIPS, ICML, ICLR, ACL-IJCNLP, EMNLP, CVPR, ICCV, AAAI and IJCAI. Find more here: paperswithcode.com/rc2021

We cover: 1. high-performance prefetcher design using reinforcement learning 2. acceleration methods for widely-different machine learning models (used at Google), 3. support for better security & performance in DRAM, 4. fast true random number generation using modern DRAM

Extensive replication project in cancer biology; would be very interesting to do the same with performance tuning and other domains. I wonder whether more code and data would be available

📢 Welcome to ar5iv.org Change the "X" in any arXiv article link to the "5" in ar5iv to get a modern HTML5 document. Thread: what is included, why now, and how we hope to merge back into arXiv. #OA #OpenScience #preprints 1/10

Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.

Interns and mentors are a highlight of working in the Hewlett Packard Labs environment. I want to thank an amazing crew of people who made this and other videos possible Pedro Bruel Pavana Prakash sai rahul chalamalasetti Gourav Rattihalli Kirk Bresniker Paolo Faraboschi Puneet Sharma