DALL-E 2 coming to Microsoft’s Azure AI, by invitation
DALL-E 2 is coming to Microsoft’s Azure OpenAI Service by invitation, allowing select Azure AI customers to generate custom images using text or images.Read More
DALL-E 2 is coming to Microsoft’s Azure OpenAI Service by invitation, allowing select Azure AI customers to generate custom images using text or images.Read More
Continue AI today announced $5.7 million in seed funding to provide ESG intelligence for companies to create meaningful change.Read More
These are the best bargains to scratch your shopping itch without breaking the bank.
Amazon isn’t the only one in a prime position to unleash killer discounts on smart TVs, headphones, and Apple devices.
The Prime Early Access Sale is here. From Alexa-powered Echo Dots to laptops, here are all the greatest discounts we’ve found.
The key to maximizing traditional or quantum computing speeds lies in our ability to understand how electrons behave in solids, and researchers have now captured electron movement in attoseconds–the fastest speed yet.
A research team at Illinois Institute of Technology has extracted personal information, specifically protected characteristics like age and gender, from anonymous cell phone data using machine learning and artificial intelligence algorithms, raising questions about data security.
Collision avoidance is key for mobile robots and agents to operate safely in the real world. In this work, we present an efficient and effective collision avoidance system that combines real-world reinforcement learning (RL), search-based online trajectory planning, and automatic emergency intervention, e.g. automatic emergency braking (AEB). The goal of the RL is to learn …
Read more “Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance”
The perception system in personalized mobile agents requires developing indoor scene understanding models, which can understand 3D geometries, capture objectiveness, analyze human behaviors, etc. Nonetheless, this direction has not been well-explored in comparison with models for outdoor environments (e.g., the autonomous driving system that includes pedestrian prediction, car detection, traffic sign recognition, etc.). In this …
Read more “Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents”
Estimating dimensional emotions, such as activation, valence and dominance, from acoustic speech signals has been widely explored over the past few years. While accurate estimation of activation and dominance from speech seem to be possible, the same for valence remains challenging. Previous research has shown that the use of lexical information can improve valence estimation …