- Tue. Nov 26th, 2024
Latest Post
Microsoft Unveils Azure Custom Chips: Revolutionizing Cloud Computing and AI Capabilities
Amidst persistent industry rumors, Microsoft’s long-anticipated revelation came to light during the Ignite conference, marking a pivotal moment in the tech landscape. The tech giant officially unveiled its in-house designed…
Meet GO To Any Thing (GOAT): A Universal Navigation System that can Find Any Object Specified in Any Way- as an Image, Language, or a Category- in Completely Unseen Environments
A team of researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, Georgia Institute of Technology, University of California Berkeley, Meta AI Research, and Mistral AI has developed a…
This AI Paper from MIT Introduces a Novel Approach to Robotic Manipulation: Bridging the 2D-to-3D Gap with Distilled Feature Fields and Vision-Language Models
A team of researchers from MIT and the Institute of AI and Fundamental Interactions (IAIFI) has introduced a groundbreaking framework for robotic manipulation, addressing the challenge of enabling robots to…
Zhejiang University Researchers Propose UrbanGIRAFFE to Tackle Controllable 3D Aware Image Synthesis for Challenging Urban Scenes
UrbanGIRAFFE, an approach proposed by researchers from Zhejiang University for photorealistic image synthesis, is introduced for controllable camera pose and scene contents. Addressing challenges in generating urban scenes for free…
Semantic Hearing: A Machine Learning-Based Novel Capability for Hearable Devices to Focus on or Ignore Specific Sounds in Real Environments while Maintaining Spatial Awareness
Researchers from the University of Washington and Microsoft have introduced a cutting-edge concept: noise-canceling headphones with semantic hearing capabilities driven by advanced machine learning algorithms. This innovation empowers wearers to…
MIT Researchers Introduce MechGPT: A Language-Based Pioneer Bridging Scales, Disciplines, and Modalities in Mechanics and Materials Modeling
Researchers confront a formidable challenge within the expansive domain of materials science—efficiently distilling essential insights from densely packed scientific texts. This intricate dance involves navigating complex content and generating coherent…
NVIDIA Researchers Introduce a GPU Accelerated Weighted Finite State Transducer (WFST) Beam Search Decoder Compatible with Current CTC Models
In recent times, with Artificial Intelligence becoming extremely popular, the field of Automated Speech Recognition (ASR) has seen tremendous progress. It has changed the face of voice-activated technologies and human-computer…
Meta Unveils Emu Video and Emu Edit: Pioneering Advances in Text-to-Video Generation and Precision Image Editing
In the rapidly evolving field of generative AI, challenges persist in achieving efficient and high-quality video generation models and the need for precise and versatile image editing tools. Traditional methods…
UC Berkeley Researchers Propose an Artificial Intelligence Algorithm that Achieves Zero-Shot Acquisition of Goal-Directed Dialogue Agents
Large Language Models (LLMs) have shown great capabilities in various natural language tasks such as text summarization, question answering, generating code, etc., emerging as a powerful solution to many real-world…
Meet Tarsier: An Open Source Python Library to Enable Web Interaction with Multi-Modal LLMs like GPT4
As AI continues to grow and impact all aspects of our lives, research is being conducted to make it more useful and convenient. Today, AI is finding its utility in…