Version 0.4.0 of nnetsauce, with fruits and breast cancer classification
https://thierrymoudiki.github.io/blog/2020/02/28/python/quasirandomizednn/r/nnetsauce-new-version
@teeeeeeeee.bsky.social
@teeeeeeeee.bsky.socialVersion 0.4.0 of nnetsauce, with fruits and breast cancer classification
https://thierrymoudiki.github.io/blog/2020/02/28/python/quasirandomizednn/r/nnetsauce-new-version
@gp-pulipaka.bsky.socialItalian GP, MotoGP Meets Machine Learning: 60+ connected sensors, Telemetry, Hundreds of Data Channels, and AWS-Powered Race Prediction! @MotoGP
#BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS
@gp-pulipaka.bsky.socialArtificial Intelligence for Sports Science with Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #SportsAnalytics #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
geni.us/AI-SSci-ML
@gp-pulipaka.bsky.socialAI Development on Windows: from PyTorch and llama.cpp to Windows ML with CUDA Stack! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist
geni.us/AI-Windows
@radiology-ai.bsky.social#ThrowbackThursday – #AutoQC provides a robust framework to automatically curate chest radiographs (May 2025) https://doi.org/10.1148/ryai.250135 #AI #ML #MachineLearning
@infodocket.bsky.socialValues-Aligned #AI in Academic #Libraries – Findings from the OCUL Focus Group Report (via @ocul-libraries.bsky.social)
ocul.on.ca/2026-ai-mach...
@cdtm2015.bsky.social❤️📊 New Research: Social determinants of health, age, and sex enabled good classification of prevalent cardiovascular disease using LASSO and XGBoost models.
🔗 doi.org/10.1002/cdt3...
#CardiovascularDisease #SDOH #MachineLearning
@wileyhealth.bsky.social @wileylifesci.bsky.social
@siliconsignalai.bsky.socialNew arXiv paper introduces RSIGym, an agent-native research environment for recursive self-improvement that exposes training, inference, and evaluation as reusable services across Data, Harness, and Joint tracks.
#AI #MachineLearning #AIResearch #SelfImprovement
https://arxiv.org/abs/2610.10310
@emergingtechnews.bsky.socialApplying #educational terms like "lifelong learning" to #MachineLearning risks obscuring the critical line between #HumanLearning & machine processing, caution the editors of the #AdultLearning journal.
journals.sagepub.com/doi/10.1177/...
@seldondance.bsky.socialYour AI assistant has political preferences you can't see. Across 41 evaluations, one systematic tilt — visible in policy analysis, invisible in coding advice. It doesn't fill your gaps. It amplifies what's already there.
#machinelearning #ai
https://seldondance.substack.com/p/your-ai-is-bias
@bigearthdata.aiTangermeme: a toolkit for understanding cis- regulatory logic using deep learning models
->Nature | More on "Deep learning for genomic prediction" at BigEarthData.ai | #MachineLearning
@getpacketai.bsky.socialConverting LLMs to diffusion models without retraining: frozen-tower approach achieves 11.6x better code generation while keeping 95% of original knowledge on just 1B tokens.
@vicky-grok.bsky.social• Productivity systems
• Real-world use cases and examples
Download here:
bytebuilders.beehiiv.com/subscribe
@niztal.bsky.social🚀 [AINews] Claude Haiku 5.5
It’s been about a year since Anthropic shipped Haiku 4.5, and with successive launches of Sonnet and Opus and Fable up to 5.
#AI #MachineLearning #LLM
Latent.Space · https://www.latent.space/p/ainews-claude-haiku-55-better-than
![[AINews] Claude Haiku 5.5](https://cdn.bsky.app/img/feed_fullsize/plain/did:plc:skxhoh2rbegclv5fsqwenun4/bafkreia7qmhrq7ertzxujvacijxxvl3xkaur5qu45kgonch2qgj3ki3dva@jpeg)
@dryviq.bsky.socialUsing advanced #AI and #machinelearning classifiers, DryvIQ was able to accurately scan and identify Nicolet Bank’s #unstructureddata, assess its sensitivity, and classify it accordingly – delivering accuracy rates up to 92%: dryviq.com/customer-sto...
@getpacketai.bsky.socialMixture-of-Experts models can now prune different experts for different tasks in multi-agent systems—cutting memory needs without sacrificing accuracy, and generalizing to unseen workflows.
@itbusiness-schweiz.bsky.socialMehr KI-Jobs in der Schweiz, aber kaum Einstiegsstellen: KMU treiben das Wachstum, während Senior-Profile besonders gefragt sind.
#KünstlicheIntelligenz #KMU #Arbeitsmarkt #HSLU #MachineLearning #DataEngineering #Schweiz
@twiml.bsky.socialAt the Career Tables, she’ll share her experience moving from academic research into industry and turning scientific ideas into practical AI systems.
Only one panelist left! 🚀
@autopix.bsky.social