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Research & Development
AI Framework Boosts RISC-V Kernel Performance
TLDR: A new AI framework, Evolution of Kernels (EoK), automates the optimization of RISC-V processor kernels, which are crucial for emerging hardware platforms. Addressing...
Research & Development
Hate Speech Detection: Performance and Efficiency Across 38 AI Models
TLDR: A study evaluated 38 models for hate speech detection, from traditional machine learning to transformers, across various datasets. It found that transformer models,...
Research & Development
FedMentor: A Privacy-First Approach for LLMs in Mental Health Support
TLDR: FedMentor is a new framework for fine-tuning large language models (LLMs) in sensitive areas like mental health. It uses federated learning, low-rank adaptation...
Research & Development
Unmasking Hidden Privacy Risks in AI Collaboration
TLDR: This research introduces "compositional privacy leakage," a new risk in multi-agent AI systems where individually harmless information, when combined from different agents, reveals...
Research & Development
New AI Framework Enhances Stuttering Diagnosis with Unprecedented Clarity
TLDR: A new AI framework called Unconstrained Dysfluency Modeling (UDM) has been clinically evaluated for detecting stuttered speech. It achieves high accuracy (F1: 0.89)...
Research & Development
DreamControl: Enabling Humanoid Robots to Interact Naturally with Their Environment
TLDR: DreamControl is a novel methodology for teaching humanoid robots complex whole-body skills for scene interaction. It combines human motion data with reinforcement learning....