NVISO achieves another milestone with Interior Monitoring System running on Neuromorphic computing

We have reached another important milestone after showcasing the world’s first commercial grade emotion recognition AI App designed for neuromorphic processing, this technology has been integrated into our test vehicle and is now accelerating automotive interior monitoring systems addressing both driver and occupant monitoring systems. DMS being a key feature expected to become a standard feature […]

Dr. Yannik Kilcher – Data Augmentation: From Hand-Crafting to Generative Models

Data Augmentation: From Hand-Crafting to Generative Models In this talk, we will take a close look at strategies for data augmentation in machine learning. While data augmentation started out as a set of simple transformations in Computer Vision, it has grown into its own field of investigation, including fields such as NLP and Robotics. Modern […]

Prof. Claudio Gallicchio – Reservoir Computing: Fast Deep Learning for Sequences

Reservoir Computing: Fast Deep Learning for Sequences Recurrent Neural Networks (RNNs) represent the reference class of Deep Learning models for learning from sequential data. Despite the widespread success, a major downside of RNNs and commonly derived ‘gating’ variants (LSTM, GRU) is given by the high cost of the involved training algorithms. In this context, an […]

Prof. Mark Schmidt – Faster Algorithms for Deep Learning?

Faster Algorithms for Deep Learning? The last 10 years have seen a revolution in stochastic gradient methods, with variance-reduced methods like SAG/SVRG provably achieving faster convergence rates than all previous methods. These methods give dramatic speedups in a variety of applications but have had virtually no impact to the practice of training deep models. We […]

Lorenzo Bertoni – Perceiving Humans in the 3D World with Semantic Keypoints.

Perceiving Humans in the 3D World with Semantic Keypoints. Deep Learning endeavors to make the transition from advanced driver-assist systems to fully self-driving cars. Yet the current state of technology still leads to fatal accidents and is by no means conveying trust. In this talk we present a deep learning frameworks that can accurately perceive […]

2021 – New Open Internship/Master Projects

Interested in an internship or master project on state-of-the-art AI topics at NVISO? Here is the list of topics: – 3D Face Tracking– 3D Body Pose Modelling– 3D Hand Modelling– Object reconstruction from single view images– DNNs optimization agents on edge devices– Driver drowsiness detection– Generative Interpretable Faces Follow this link to get to the details for […]

NVISO among the top-tier players in the Affective Computing Market

We are proud to be recognized as a top-tier player alongside the likes of Microsoft, Affectiva in the Affective Computing Market. Affective Intelligence represents the biggest growth opportunity in several industries. The Global Affective Computing Market is projected to reach a value of over USD 180.7 billion by 2027 at a CAGR of around 37.2%.   NVISO’s AI […]

PainChek and NVISO are Redefining Pain Assessment

NVISO’s client, PainChek™, uses video analysis, powered by NVISO’s AI-based visual intelligence technology, to detect facial expressions and characteristics most consistent with acute and chronic pain. A new video introducing the technology behind their present and future applications has been released, see here. State-of-the-art algorithms are used, such as convolutional and deep neural networks, which […]

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