​[[{“value”:” Mental health profoundly impacts individuals’ quality of life, yet accessing mental health services can be challenging due to stigma, insufficient workforce, and fragmented care systems. NLP has demonstrated its potential in this area, with models developed to detect symptoms and evaluate depression from clinical… Read More »mhGPT: Advancing Mental Health AI with a Lightweight, Expert Knowledge-Infused Transformer for Low-Resource Environments Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Professionals and enthusiasts in the finance industry need to have dependable tools for accessing and analyzing large amounts of data in order to track macroeconomic trends, cryptocurrency, equities markets, and forex. A comprehensive platform that gathers all this data in one location is essential.… Read More »OpenBB: An Open-Sourced Python-Based Finance ResearchPlatform Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The year 2023 witnessed a rapid rise in generative AI, which has led to the development of numerous AI applications designed to tackle various tasks. Despite their power, these tools often face a significant challenge: integration into daily life. Implementing AI into daily routines… Read More »Fabric: An Open-Source Framework for Augmenting Humans Using AI Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text-to-SQL conversion is a vital aspect of Natural Language Processing (NLP) that enables users to query databases using everyday language rather than technical SQL commands. This process is highly significant as it allows individuals to interact with complex databases seamlessly, regardless of their technical… Read More »MAG-SQL: A Multi-Agent Generative Approach Achieving 61% Accuracy on BIRD Dataset Using GPT-4 for Enhanced Text-to-SQL Query Refinement Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Achieving high-fidelity waveform generation in audio synthesis is a significant challenge, particularly due to the slow inference times associated with traditional models like Conditional Flow Matching (CFM), which require numerous Ordinary Differential Equation (ODE) steps. While excellent in quality, these models are often too… Read More »Breaking Barriers in Audio Quality: Introducing PeriodWave-Turbo for Efficient Waveform Synthesis Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” High-fidelity waveform generation, particularly in text-to-speech (TTS) and audio generation applications, involves several critical challenges. Accurately generating natural-sounding audio remains a primary issue, essential for real-world deployment. Capturing the natural periodicity of high-resolution waveforms and producing high-quality output without artifacts such as metallic sounds… Read More »PeriodWave: A Novel Universal Waveform Generation Model Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cloud AI infrastructure is vital to modern technology, providing the backbone for various AI workloads and services. Ensuring the reliability of these infrastructures is crucial, as any failure can lead to widespread disruption, particularly in large-scale distributed systems where AI workloads are synchronized across… Read More »Microsoft Released SuperBench: A Groundbreaking Proactive Validation System to Enhance Cloud AI Infrastructure Reliability and Mitigate Hidden Performance Degradations Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models (LMs) have gained significant prominence in computational text analysis, offering enhanced accuracy and versatility. However, a critical challenge persists: ensuring the validity of measurements derived from these models. Researchers face the risk of misinterpreting results, potentially measuring unintended factors such as incumbency… Read More »Improving Robustness Against Bias in Social Science Machine Learning: The Promise of Instruction-Based Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As LLMs become increasingly complex and powerful, their inference process, i.e., generating text given a prompt, becomes computationally expensive and time-consuming. Many applications, such as real-time translation, dialogue systems, or interactive content generation, require quick responses. Additionally, slow inference consumes substantial computational resources, leading… Read More »KOALA (K-layer Optimized Adversarial Learning Architecture): An Orthogonal Technique for Draft Head Optimization Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​Reinforcement learning practitioners often avoid hierarchical policies, especially in image-based observation spaces. Typically, the single-task performance improvement over flat-policy counterparts does not justify the additional complexity associated with implementing a hierarchy. However, by introducing multiple decision-making levels, hierarchical policies can compose lower-level policies to more… Read More »On the Benefits of Pixel-Based Hierarchical Policies for Task Generalization Apple Machine Learning Research