DeepTensor proudly joins force with top researchers to organize AITrust workshop at WASP-HS event. We’re very happy to invite you to submit one-page abstract for the AITrust Workshop at WASP-HS 2024. The workshop is a cross-disciplinary forum for advancing the designing, developing and deploying of reliable and trustworthy AI applications. The workshop is organized within a […]
Category Archives: Research Blog
Emerging pandemics pose a significant threat to global health, and accurate forecasting and analysis are essential for effective public health management and decision-making. Traditional approaches to pandemic forecasting primarily rely on epidemiological data, overlooking valuable sources of information that could act as sensors or indicators of pandemic patterns. In this paper, we propose a novel […]
DeepTensor AB and WASP Media & Language proudly joined forces to introduce *AURORA-M*: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. We released 3 different models: -Aurora-M base: Model pretrained on 377B tokens of multilingual data. -Aurora-M instruct: Model instruction tuned on Slim-Orca dataset on top of the base model. […]
Why Private AI? Private AI focuses on preserving user privacy in artificial intelligence applications. By utilizing techniques like federated learning and homomorphic encryption, it allows machine learning models to operate on encrypted, decentralized data. This ensures that sensitive information remains secure and confidential during the learning process. One typical approach is Microsoft SEAL (Simple Encrypted […]
Users express their opinions towards entities (e.g., restaurants) via online reviews which can be in diverse forms such as text, ratings, and images. Modeling reviews are advantageous for user behavior understanding which, in turn, supports various user-oriented tasks such as recommendation, sentiment analysis, and review generation. In this paper, we propose MG-PriFair, a multimodal neural-based […]
This paper firstly proposes a simple yet efficient generalized approach to apply differential privacy to text representation (i.e., word embedding). Based on it, we propose a user-level approach to learn personalized differentially private word embedding model on user generated contents (UGC). To our best knowledge, this is the first work of learning user-level differentially private […]
An upcoming event to display and test AI-powered jet fighters will now be held virtually due to COVID-19. “We are still excited to see how the AI algorithms perform against each other as well as a Weapons School-trained human and hope that fighter pilots from across the Air Force, Navy, and Marine Corps, as well […]
Researchers from University College London have released a ranking of what experts believe to be the most serious AI crime threats. The researchers first created a list of 20 expected ways AI will be used by criminals within the next 15 years. 31 experts were then asked to rank them by potential severity. Deepfakes – […]
Google has released a toolkit which it hopes will bring some transparency to AI models. People are wary of big tech companies like Google. People are also concerned about AI. Combine the two and you’ve got a general distrust which can hinder important advancements. Model Card Toolkit aims to step in and facilitate AI model […]
Researchers from Tencent, along with other Chinese scientists, are using deep learning to predict critical COVID-19 cases. Scientists around the world are doing incredible work to increase our understanding of COVID-19. Thanks to their findings, existing medications have been discovered to increase the likelihood of surviving the virus. Unfortunately, there are still fatalities. People with […]
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