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
Continue AI aims to add ESG intelligence to sustainability, lands $5.7M
Continue AI today announced $5.7 million in seed funding to provide ESG intelligence for companies to create meaningful change.Read More
37 Best Prime Day Deals Under $50 (2022): Cheap Tablets, Streaming Devices, and iPhone Cases
These are the best bargains to scratch your shopping itch without breaking the bank.
19 Best Deals From Best Buy’s Flash Sale (2022): Headphones, TVs, Apple Devices
Amazon isn’t the only one in a prime position to unleash killer discounts on smart TVs, headphones, and Apple devices.
84 Absolute Best Prime Day Deals (2022): Prime Early Access Sale
The Prime Early Access Sale is here. From Alexa-powered Echo Dots to laptops, here are all the greatest discounts we’ve found.
Seeing electron movement at fastest speed ever could help unlock next-level quantum computing
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.
Extracting personal information from anonymous cell phone data using machine learning
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.
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance
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 …
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Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents
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 …
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Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation
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 …