Pedro Costa

[Max Jaderberg @maxjaderberg]

Very excited to release our new work: Open-Ended Learning Leads to Generally Capable Agents. tldr; algorithm that dynamically shapes task distributions to train agents on huge task space, resulting in surprisingly general behaviour https://t.co/dwnBL1dAG8
Thread: (1/n)

[hardmaru @hardmaru]

Mammals dream about the world they are about to experience before they are born

“Brain circuits are self-organized at birth and some of the early teaching is already done. It’s like dreaming about what you are going to see before you even open your eyes.”
https://t.co/l6cX2esVO0

[Arlindo Oliveira @arlindooliveira]

https://t.co/1fODkyTxvq

[Abyssal SA @abyssal_sa]

We are looking for a Junior QA to help our team improve the quality of our deliveries! #QA #jobsearch #hiring #Careers
https://t.co/ntcoweavFb

[Abyssal SA @abyssal_sa]

May the New Year bring Light to Complexity and Clarity to Ambiguity! Wishing you a #HappyHoliday season from the team at Abyssal. #digitaltwin #AugmentedReality #visionindepth #3D #UnrealEngine #UE4 #EpicGames
https://t.co/ocUTXlSQU7

[Abyssal SA @abyssal_sa]

É hoje! "O desenvolvimento de algoritmos inteligentes para percepção do ambiente marinho utilizando vídeos obtidos por ROVs e, posteriormente, para tomada de decisões em operações de inspeção e manutenção." Pedro Costa no #BolsaDeIdeias. #MachineLearning #subsea

[Machine Learning Porto @MLPorto_]

Come join us in our first event!

https://t.co/UINBhLlwN9

[Assert Arxiv @assertpub_]

"MedAL: Deep Active Learning Sampling Method for Medical Image.." is the #1 paper on Arxiv today in computer vision and pattern recognition. Congrats @pedrocostamusic @adrian_galdran. See it at -> https://t.co/38xuwMbXZq and https://t.co/dPdfiTuJKJ. Please retweet.

[Adrian Galdran @adrian_galdran]

Presenting our work on assessment of retinal vessel segmentation quality later this morning at #miccai18 , come around to discuss about it or about medical image quality in general! Joint work with @costapt20

[Abyssal SA @abyssal_sa]

Join our team! We're looking for a #MachineLearning Researcher, among others... #Job #Career #visionindepth https://t.co/LQgnAgUtOp

[Abyssal SA @abyssal_sa]

The third and final day of @OceanologyIntl! Don't miss the opportunity to explore our #AbyssalOS at our stand M151, and learn all about #3D digital solutions for an entire #projectlifecycle. #Oi18 #oceantech #AugmentedReality #visionindepth #efficiency #safety #ROV

[Abyssal SA @abyssal_sa]

Day 1 at @OceanologyIntl! Come visit us at M151 and learn all about #AbyssalOS. #Oi18 #oceantech #3D #AugmentedReality #visionindepth #efficiency #safety #ROV #projectlifecycle

[Abyssal SA @abyssal_sa]

Abyssal is now "UT Austin-Portugal Industrial Affiliate" #atlantic #oceantech #visionindepth

[Abyssal SA @abyssal_sa]

#VisionInDepth #Efficiency #Safety #Oceantech "Abyssal expects to leverage NVIDIA´s expertise, massive network of deep learning experts and thought leaders, state-of-the-art GPU technology [..] to bring Artificial Intelligence to the subsea operations"
https://t.co/xZ0F3VyMfB

[Pedro Costa @costapt20]

We released an online demo of our vess2ret paper (https://t.co/iOUsYB9OtU). Check it out at https://t.co/E0PVc1QIPr.

[Pedro Costa @costapt20]

"Towards Adversarial Retinal Image Synthesis" https://t.co/iOUsYB9OtU with keras code available https://t.co/zKTdul0DXi
Demo coming soon!

[Pedro Costa @costapt20]

The first time I remember that loosing a race actually seems good! https://t.co/3rbxlidLOe

[Nando de Freitas @NandoDF]

Rise of the machines can make life better. The Times, excellent article by Emma Duncan on universal income @1843mag https://t.co/7DCLmAwuGj

[Pedro Costa @costapt20]

Two workshops on Python for Machine Learning created by a joint collaboration between CBER and CTM groups at INESC:
https://t.co/xxNgp6qS3D

[Pedro Costa @costapt20]

@OriolVinyalsML Congratulations! It was really inspiring to listen to your talk at LXMLS. Keep up with the great work.

[Pedro Costa @costapt20]

We are heading towards personalized precision medicine. Next step: 24/7 preemptive monitoring.
https://t.co/2v0pgud49z