Robotics in neuroscience

Robotics has many tools that can applied to neuro-prosthetics. For example, I research noninvasive neural interfaces for prosthetics control. For me focusing on learning perception (sensors), control techniques, and AI/machine was very helpful to develop control algorithms for physical devices. Signal processing is critical in my research as well.

The basics of kinematics / Dynamics is also helpful for studying human Biomechanics and analysing how the devices you design affect the users.

Check out the abstracts at this conference:

https://icorr2019.org/

It will give you an idea of what's happening at the intersection of robotics and rehab medicine.

The deepest problem with deep learning
Some reflections on an accidental Twitterstorm, the future of AI and deep learning, and what happens when you confuse a schoolbus with a snow plow.

https://medium.com/@GaryMarcus/the-deepest-problem-with-deep-learning-91c5991f5695

AutoGMM: Automatic Gaussian Mixture Modeling in Python. https://arxiv.org/abs/1909.02688

Intensity augmentation for domain transfer of whole breast segmentation in MRI. https://arxiv.org/abs/1909.02642

Deep Iterative Frame Interpolation for Full-frame Video Stabilization. https://arxiv.org/abs/1909.02641

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. https://arxiv.org/abs/1909.02597

TOP Paper

Detecting Deep Neural Network Defects with Data Flow Analysis. https://arxiv.org/abs/1909.02190

FastSpeech: Fast, Robust and Controllable Text to Speech
Ren et al.: https://arxiv.org/abs/1905.09263
Samples : https://speechresearch.github.io/fastspeech/
#ArtificialIntelligence #DeepLearning #MachineLearning

In eras of technological disruption, leadership matters.


Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what’s around the corner for AI at Amazon re:MARS 2019 in Las Vegas, California.

https://www.youtube.com/watch?v=j2nGxw8sKYU

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models"
Sandeep Subramanian, Raymond Li, Jonathan Pilault, Christopher Pal : https://arxiv.org/abs/1909.03186
#transformer #naturallanguageprocessing #machinelearning

People should stop training radiologists now. It is just completely obvious within 5 years deep learning is going to do better than radiologists."

-- Geoffrey Hinton

https://www.youtube.com/watch?v=2HMPRXstSvQ&feature=youtu.be&t=29

Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classifi... https://arxiv.org/abs/1909.03050

Using Machine Learning to Battle Antibiotic Resistance
https://www.the-scientist.com/lab-tools/using-machine-learning-to-battle-antibiotic-resistance-65785

Intel AI Developer Program (Free)

https://software.intel.com/en-us/ai/courses

Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.
https://www.marktechpost.com/free-resources/

Deep weakly-supervised learning methods for classification and localization in histology images: a survey
Rony et al.: https://arxiv.org/abs/1909.03354
#ArtificialIntelligence #DeepLearning #MachineLearning

📝 The paper: Adversarial Examples Are Not Bugs, They Are Features

video: https://www.youtube.com/watch?v=AOZw1tgD8dA

available here: https://gradientscience.org/adv/

article: https://distill.pub/2019/advex-bugs-discussion/

SpeechBrain
A PyTorch-based Speech Toolkit : https://speechbrain.github.io
Project Leader: Mirco Ravanelli
#Speech #PyTorch #SpeechBrain