Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @MaxALittle
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @MaxALittle
-
Prikvačeni tweet
After six years of work, pleased to announce that my latest book "Machine Learning for Signal Processing" is published by Oxford University Press today: http://global.oup.com/academic/product/machine-learning-for-signal-processing-9780198714934 …pic.twitter.com/X5zWAX8EFI
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
Max Little proslijedio/la je Tweet
Should We Trust Algorithms? https://hdsr.mitpress.mit.edu/pub/56lnenzj/ by David Spiegelhalter
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Agreed. Better to join forces across disciplines, rather than arguing over differences. Similar applies to ML + signal processing, which motivated me to write this textbook: https://global.oup.com/academic/product/machine-learning-for-signal-processing-9780198714934 …https://twitter.com/IAmSamFin/status/1223961801244758016 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
Useful perspective by
@Dereklowe who thinks this isn't meaningful: https://blogs.sciencemag.org/pipeline/archives/2020/01/31/another-ai-generated-drug … "This particular example is not going to accelerate drug discovery much, because this is speeding up a minor part of the process ...nowhere near a rate-limiting step."Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
A few years ago TensorFlow looked indomitable. Now it's on the verge of being overtaken by Pytorch. OpenAI just announced it's standardizing on Pytorch, joining the likes of Tesla, Nvidia, and FB. Google hoped TensorFlow would cement its lead in ML. It may soon be a liability.pic.twitter.com/xZuTvgn939
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
Excited to share some new work on convergence guarantees for GPs: https://arxiv.org/abs/2001.10818 . led by G. Wynne and joint with
@MarkGirolami.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
'Trouble replicating cancer studies a ‘wake-up call’ for science' - results from the Reproducibility Project: Cancer Biology are quite soberinghttps://www.timeshighereducation.com/news/trouble-replicating-cancer-studies-wake-call-science …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
https://www.wired.com/story/ai-helps-warehouse-bots-pick-new-skills/ … Nice application of a few current ML/AI tricks (RL, imitation learning etc.) I don't know if these computational tricks are entirely necessary, but regardless, I'd put my bets on DL eventually being profitable for such narrow tasks.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
I'm hiring postdoctoral fellows in (1) network science and (2) data science with focus on smartphone data and health, both in my group at Harvard. Please share! http://academicpositions.harvard.edu/postings/8588
@HarvardBiostatsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"Ending Parkinson's Disease: A Prescription for Action" https://endingpd.org/ It's my pleasure to help disseminate my esteemed colleague's, exceptionally clear, book on conquering this formidable medical condition. All proceeds to charity.
#ParkinsonsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
See our team’s recent research where they’ve demonstrated machine learning can reveal undetected signs of anemia in the eye from non-invasive images -http://blog.google/technology/health/anemia-detection-retina …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
*Our paper diagnosing problems in fair ML now on arXiv!* https://arxiv.org/abs/2001.09773 . Took a few weeks, b/c our interdisciplinary collaboration broke the paper categorization system.
#aies2020Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"The role of epigenetic-related codes in neurocomputation: dynamic hardware in the brain" https://royalsocietypublishing.org/doi/10.1098/rstb.2013.0519 … Neuronal complexity is likely far greater than current AI assumes. Here is evidence that cells influence neuronal "hardware" changes in their neighbours.
@GaryMarcusHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
Risk models can predict death or stroke after ACS, but do not perform well for *all* patients. Stultz Lab
@MIT,@IBMResearch, &@UMassMedical developed “unreliability score” to determine if model’s results can be trusted for given patient https://www.nature.com/articles/s41746-019-0209-7 … cc@EricTopolpic.twitter.com/tE0BXnJbfs
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
It's a pity most recent
#NLProc grads I interview don't know EM since teaching HMMs have fallen out of favor with the rise of DL models (HMMs are the first place many first encounter EM in NLP). General ML courses seem to skip EM too since there is already so much to cover in DL.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
I think you’re proving his point
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
Perfect is the problem. Less than 1% of all ed ct heads contain thousands of types of fatal findings. Since at least some of these thousands will be incredibly rare in any training set, the normal detector will miss a large proportion (ie call them normal). Deadly.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"The origins of the AI world’s overconfidence here lie not in any particular vendetta against radiologists, but in the structural affinities of artificial intelligence itself."
@GaryMarcushttps://twitter.com/Rad_Partners/status/1221813411949969408 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
Image resolution affects
#DeepLearning models for chest xray diagnosis http://ow.ly/iEZ530qcfSV#AI#CXRpic.twitter.com/75yVSWrecV
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Max Little proslijedio/la je Tweet
More praise for the proof by Ji-Natarajan-Vidick-Wright-Yuen showing MIP*=RE, reported by
@emcconover. Scott Aaronson: "It's a huge deal." William Slofstra: "It’s an incredible achievement." Lance Fortnow: "There’s no reason to think it’s wrong."https://www.sciencenews.org/article/quantum-strategy-could-verify-solutions-unsolvable-problems-theory …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.