In this video Siraj Raval announces that School of AI is now accepting applications for research fellows in 2019.

From the video description:

We’ll select 10 Fellows and give them 1K USD in Google Cloud credits each, a personal advisor, and help them submit their work to relevant academic outlets like NIPS and popular journals. The deadline for submissions is May 15 2019 and I look forward to your applications! Our 10 Fellows from 2018 did some amazing work, I’ll explain what they did and give guidelines as to what we’re looking for this round. Enjoy!

Application form:

Here’s an interesting news article from MIT that could revolutionize NLP and further NLU (Natural Language Understanding).

Children learn language by observing their environment, listening to the people around them, and connecting the dots between what they see and hear. Among other things, this helps children establish their language’s word order, such as where subjects and verbs fall in a sentence. In computing, learning language is […]

With data storage demands increasing every day, conventional storage will not be enough in the future. Enter DNA-based storage, with its ability to store information on a molecular level, it could revolutionize data storage in the age beyond big data. And researchers have recently came one step closer to making this technology real.

Researchers at Microsoft and the late Microsoft founder Paul Allen’s school of computing science at the University of Washington has built a system of liquids, tubes, syringes, and electronics around a benchtop to deliver the world’s first automated DNA storage device.

Researchers at IBM have drafted some new algorithms designed specifically to take advantage of quantum computers’ unique properties. The only catch is that we still need to build the computer.

While designing algorithms before the computers themselves may sound backwards, this has happened before. Computational models for conventional computers date back to the 1800s when Charles Babbage and Ada Lovelace were pondering mechanical computing devices

From the article:

“We’ve developed a blueprint with new quantum data classification algorithms and feature maps. That’s important for AI because, the larger and more diverse a data set is, the more difficult it is to separate that data out into meaningful classes for training a machine learning algorithm. Bad classification results from the machine learning process could introduce undesirable results; for example, impairing a medical device’s ability to identify cancer cells based on mammography data.”

IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don’t have anything approaching a quantum computer yet. The tech giant developed and tested a quantum algorithm for machine learning with scientists from Oxford University and MIT, showing how quantum […]

Storytelling is at the heart of human nature and Natural Language Processing is a field that is driving a revolution in the computer-human interaction. That is what makes AI Pix2Story so fascinating. Watch and see see how to teach an AI to be creative, be inspired by a picture and take it to another level.

AI Lab Pix2Story link
Pix2Story Azure Website link

It sounds like science fiction: a device that can reconnect a paralyzed person’s brain to his or her body. But that’s exactly what the experimental NeuroLife system does. Developed by Battelle and Ohio State University,

NeuroLife uses a brain implant, an algorithm and an electrode sleeve to give paralysis patients back control of their limbs. For Ian Burkhart, NeuroLife’s first test subject, the implications could be life-changing.