Please read and agree to the terms and conditions of this site.
@zdnet.com 4 months ago
How GenAI got much better at medical questions - thanks to RAG
@9to5mac.com 1 year ago
Should you be concerned about health and safety with Apple’s mixed reality headset?
@techcrunch.com 1 year ago
Bionic Health raises $3M for its AI health clinic using GPT-4 and other ML models to design better preventative care
@medical_xpress 1 year ago
Using #bigdata to better understand cancerous #mutations @CUAnschutz @naturemethods https://doi.org/gqf4sz https://medicalxpress.com/news/2022-07-big-cancerous-mutations.html
@mobilesyrup.com 2 years ago
Legally blind Canadian using electronic glasses to develop more accessible apps
@TechRadar 3 years ago
Razer Hazel Demo and Project Brooklyn | CES 2021
@xamat 3 years ago
No better way to learn #MachineLearning than by building stuff. We have added quite a few ML Live Projects now such as "Art Style Transfer Using GANs" (https://www.manning.com/liveproject/art-style-transfer-with-gans) or "3D Medical Image Analysis with PyTorch" https://www.manning.com/liveproject/3d-medical-image-analysis-with-pytorch - Feedback appreciated!
@MSFT_Business 4 years ago
Johns Hopkins Medicine is tapping vast amounts of data to better predict disease progression using #Cloud and #MachineLearning: http://msft.social/lPanHu #AI @HopkinsMedicine https://t.co/OO8A0aZlxE
@Q2i_info 4 years ago
Using #machinelearning models to better predict bladder #cancer stages https://medicalxpress.com/news/2019-07-machine-bladder-cancer-stages.html via @medical_xpress #healthIT #healthtech #digitalhealth #ML #AI
@venturebeat.com 7 years ago
Microsoft says Stryker is using HoloLens to help hospitals design better operating rooms
@mashable.com 7 years ago
Philips' motion sensor turns on your smart lights when you walk into a room
@venturebeat.com 8 years ago
Deep learning startup Enlitic raises $10M from radiology company Capitol Health
@BenBajarin 9 years ago
RT @greengart: Apple ResearchKit: using huge iOS installed base to help medical researchers w/ larger sample sizes, better data, 2 way communication. Huge.