EBRAINS Researchers Introduce A Robot Whose Internal Workings Mimic Human Brain

The human brain contains between 100 million and 100 billion neurons that process information from the senses and body and send messages...

Facebook AI Releases ‘HuBERT’: A New Approach For Learning Self-Supervised Speech Representations

Many AI research projects have been striving to improve their ability to detect and interpret speech merely by listening and engaging with...

US Army Researchers Develop A New Framework For Collaborative Multi-Agent Reinforcement Learning Systems

Centralized learning for multi-agent systems highly depends on information-sharing mechanisms. However, there have not been significant studies within the research community in...

AI Researchers Including Yoshua Bengio, Introduce A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

Human consciousness is an exceptional ability that enables us to generalize or adapt well to new situations and learn skills or new...

Researchers From Technische Universität Berlin and the University Clinic of Freiburg Propose a New...

Significant advancement in robotics in recent years has led to the development of remarkable robots with human-like capabilities, including humanoid robots, whose...

Researchers From Bangladesh University And UCLA Use AI To Develop A Framework (Text2App) To...

A team of Researchers at BUET (Bangladesh University of Engineering and Technology) and UCLA (University of California- Los Angeles) has created a...

Google AI Introduces ByT5: Pre-Trained Byte-to-Byte Models for NLP Tasks

Google researcher’s new study suggests modifying the conventional transformer architecture to process byte sequences in natural language processing (NLP). The new competitive...

Cornell University and NTT Research Introduce Physical Neural Networks (PNNs): A Universal Framework that...

DNNs (Deep neural networks) have proven to be of great use in solving various complex problems in image and speech recognition and...

CMU Researchers Propose RATT (Randomly Assign, Train and Track), A Method for Guaranteeing AI...

The Approximately Correct Machine Intelligence (ACMI) Lab at Carnegie Mellon University (CMU) has published a paper on Randomly Assign, Train, and Track (RATT). RATT...

Microsoft’s ZeRO-Infinity Library Claims to Train 32 trillion Parameters Deep Learning Models On A...

In a recent announcement by Microsoft, it has been unveiled that an addition is being made to their open-source DeepSpeed, an AI...
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