Author Archives: AI Expert

Privacy Policy

Welcome to the Privacy Policy of DeepTensor Global AB DeepTensor Global AB, a leading company in the field of securing AI Solutions software. At DeepTensor AB, we are committed to protecting your privacy and ensuring the security of your personal information. This Privacy Policy outlines our practices and procedures regarding the collection, use, and disclosure […]

Terms of use

Introduction This Terms of Use Policy (“Policy”) outlines the guidelines and regulations governing the use of intellectual property owned by DeepTensor Global AB, an AI company specializing in securing AI Solutions (“Company”). This Policy applies to all users, partners, affiliates, and any other parties who interact with or utilize the Company’s intellectual property, including but […]

DeepTensor proudly joins force with top researchers to organise AITrust workshop

aitrust

DeepTensor proudly joins force with top researchers to organise AITrust workshop. We’re very happy to invite you to submit one-page abstract for the AITrust Workshop at WASP-HS 2024 https://mormor-karl.github.io/events/AITrust-Workshop/. 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 VR […]

Privacy and AI: Towards a Trustworthy Ecosystem (AITrust)

aitrust

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 […]

[DeepTensor.AI] MGLEP: Multi-Modal Data for Accurate Pandemic Forecasting and Analysis

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 […]

*AURORA-M*: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.

  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. […]

DeepTensor proudly featured on the Swedish AI landscape

We are thrilled to announce that our startup is now a part of the Swedish AI Startup Landscape! The Swedish AI Startup Landscape is an initiative led by AI Sweden and Ignite Sweden, featuring 198 groundbreaking AI startups. The landscape has been curated by representatives from investors, large companies, academia, startups and incubators. But there’s […]

What is Private AI/ML?

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 […]