​[[{“value”:” Clear communication can be surprisingly difficult in today’s audio environments. Background noise, overlapping conversations, and the mix of audio and video signals often create challenges that disrupt clarity and understanding. These issues impact everything from personal calls to professional meetings and even content production.… Read More »Alibaba Speech Lab Releases ClearerVoice-Studio: An Open-Sourced Voice Processing Framework Supporting Speech Enhancement, Separation, and Target Speaker Extraction Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision models are pivotal in enabling machines to interpret and analyze visual data. They are integral to tasks such as image classification, object detection, and segmentation, where raw pixel values from images are transformed into meaningful features through trainable layers. These systems, including convolutional… Read More »Researchers at Stanford University Introduce TrAct: A Novel Optimization Technique for Efficient and Accurate First-Layer Training in Vision Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Question answering (QA) emerged as a critical task in natural language processing, designed to generate precise answers to complex queries across diverse domains. Within this, medical QA poses unique challenges, focusing on the complex nature of healthcare information processing. Medical scenarios demand complex reasoning… Read More »Retrieval-Augmented Reasoning Enhancement (RARE): A Novel Approach to Factual Reasoning in Medical and Commonsense Domains Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Global-MMLU by researchers from Cohere For AI, EPFL, Hugging Face, Mila, McGill University & Canada CIFAR AI Chair, AI Singapore, National University of Singapore, Cohere, MIT, KAIST, Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, MIT, MIT-IBM Watson AI Lab, Carnegie Mellon University,… Read More »Global-MMLU: A World-class Benchmark Redefining Multilingual AI by Bridging Cultural and Linguistic Gaps for Equitable Evaluation Across 42 Languages and Diverse Contexts Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integration of AI into clinical practices is very challenging, especially in radiology. While AI has proven to enhance the accuracy of diagnosis, its “black-box” nature often erodes clinicians’ confidence and acceptance. Current clinical decision support systems (CDSSs) are either not explainable or use methods… Read More »This AI Paper from UCLA Unveils ‘2-Factor Retrieval’ for Revolutionizing Human-AI Decision-Making in Radiology Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs are driving major advances in research and development today. A significant shift has been observed in research objectives and methodologies toward an LLM-centric approach. However, they are associated with high expenses, making LLMs for large-scale utilization inaccessible to many. It is, therefore, a… Read More »CPU-GPU I/O-Aware LLM Inference Reduces Latency in GPUs by Optimizing CPU-GPU Interactions Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid adoption of Large Language Models (LLMs) in various industries calls for a robust framework to ensure their secure, ethical, and reliable deployment. Let’s look at 20 essential guardrails designed to uphold security, privacy, relevance, quality, and functionality in LLM applications. Security and… Read More »Top 20 Guardrails to Secure LLM Applications Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement of AI technologies highlights the critical need for Large Language Models (LLMs) that can perform effectively across diverse linguistic and cultural contexts. A key challenge is the lack of evaluation benchmarks for non-English languages, which limits the potential of LLMs in… Read More »Cohere AI Introduces INCLUDE: A Comprehensive Multilingual Language Understanding Benchmark Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI4Bharat and Hugging Face have unveiled the Indic-Parler Text-to-Speech (TTS) system, an initiative designed to advance linguistic inclusivity in AI. This development is an effort to bridge the digital divide in a linguistically diverse country like India. Indic Parler-TTS represents a synthesis of cutting-edge… Read More »AI4Bharat and Hugging Face Released Indic Parler-TTS: A Multimodal Text-to-Speech Technology for Multilingual Inclusivity and Bridging India’s Linguistic Digital Divide Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Visual language models (VLMs) have come a long way in integrating visual and textual data. Yet, they come with significant challenges. Many of today’s VLMs demand substantial resources for training, fine-tuning, and deployment. For instance, training a 7-billion-parameter model can take over 400 GPU… Read More »NVIDIA AI Introduces NVILA: A Family of Open Visual Language Models VLMs Designed to Optimize both Efficiency and Accuracy Asif Razzaq Artificial Intelligence Category – MarkTechPost