Postdoctoral Researcher
29
September 2020, Tuesday

We're looking for talented and motivated post-doctoral researchers in multiple areas of AI and ML. We provide a competitive benefits package, please check our page for details and spread the word!

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Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?
09
September 2020, Wednesday

Given recent advances in learned video prediction, we investigate whether a simple video codec using a pre-trained deep model for next frame prediction based on previously encoded/decoded frames without sending any motion side information can compete with standard video codecs based on block-motion compensation. Frame differences given learned frame predictions are encoded by a standard still-image (intra) codec

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BeyondMoore: Pioneering a New Path in Parallel Programming Beyond Moore’s Law
04
September 2020, Friday

Dr. Didem Unat is awarded with an ERC starting grant of 1.5M EUR. First ERC in Computer Science from Turkey! Congratulations on her big achievement.

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A Prediction Framework for Fast Sparse Triangular Solves
28
August 2020, Friday

Najeeb Ahmad, a PhD student of Dr. Didem Unat received the “Best Artifact” award at Euro-Par 2020 conference (24% acceptance rate) held virtually at Warsaw, Poland. Out of the 39 accepted papers, artifacts for 13 papers were accepted and one was chosen for this award. The award was presented during the Best Artifact session held on Thursday 27.08.2020 at 15:00 CET. It was announced in the form of a certificate and 800 Euro cash award.

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SparCity: Optimization and Co-design Framework for Sparse Computation
26
August 2020, Wednesday

Congratulations to Dr. Didem Unat for her new EuroHPC grant - Towards Extreme Scale Technologies and Applications.  The action has a total budget of 2.6M Euros with 6 partners in Europe, where Dr. Unat will be leading the Consortium which includes Simula Research Laboratory (Norway), GraphCore Inc. (Norway), INESC-ID (Portugal), LMU Munich (Germany) and Sabanci University (Turkey).

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Emotion Dependent Domain Adaptation for Speech Driven Affective Facial Feature Synthesis
26
August 2020, Wednesday

Although speech driven facial animation has been studied extensively in the literature, works focusing on the affectivecontent of the speech are limited. This is mostly due to the scarcity of affective audio-visual data. In this paper, we improve the affectivefacial animation using domain adaptation by partially reducing the data scarcity. We first define a domain adaptation to map affectiveand neutral speech representations to a common latent space in which cross-domain bias is smaller.

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State-of-the-art Techniques for Deep Edge Intelligence
26
August 2020, Wednesday

Deep Edge Intelligence (DEI) has a tremendous potential to democratize Artificial Intelligence and address challenges caused by the rapid data and device proliferation

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Arabic-ALBERT
26
August 2020, Wednesday

We’re excited to share our pre-trained ALBERT models for Arabic! Trained on a corpus of ~4.4B words, these models are the first to use sentence piece tokenization for Arabic. Thanks to @Google for providing TPUs for the training and for @huggingface to host the models.

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