[[{“value”:” We’re planning a live virtual event later this year, and we want to hear from you. Are you using a powerful AI technology that seems like everyone ought to be using? Here’s your opportunity to show the world! AI is too often seen as a… Read More »Generative AI for Farming Mike Loukides AI & ML – Radar
[[{“value”:” Data-driven methods that convert offline datasets of prior experiences into policies are a key way to solve control problems in various fields. There are mainly two approaches for learning policies from offline data, imitation learning and offline reinforcement learning (RL). Imitation learning needs high-quality… Read More »Exploring Offline Reinforcement Learning RL: Offering Practical Advice for Domain-Specific Practitioners and Future Algorithm Development Sajjad Ansari Artificial Intelligence Category – MarkTechPost
[[{“value”:” DuckDB is a high-performance analytical database system designed to excel in various data-intensive tasks. Focused on its speed, reliability, portability, and user-friendliness, DuckDB offers a robust SQL dialect that goes far beyond basic SQL functionalities, making it an exceptional tool for sophisticated data analysis.… Read More »DuckDB: An Analytical in-Process SQL Database Management System DBMS Niharika Singh Artificial Intelligence Category – MarkTechPost
[[{“value”:” Almost every week brings a whole new LLM application, each with its own specific output speed, cost, and quality needs. Additionally, the models that offer the best performance for the job need to be made apparent. Because of this, there are a lot of… Read More »Meet Unify AI: An AI Startup that Dynamically Routes Each User Prompt to the Best LLM for Better Quality, Speed, and Cost Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost
[[{“value”:” Google AI Researchers introduced Human I/O to address the issue of situationally induced impairments and disabilities (SIIDs). SIIDs are temporary challenges that hinder our ability to interact with technology due to environmental factors such as noise, lighting, and social norms. These impairments can significantly… Read More »Revolutionizing Accessibility: Google AI’s Human I/O Unifies Egocentric Vision, Multimodal Sensing, and LLM Reasoning to Detect and Assess User Impairments Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost
[[{“value”:” Recent advancements in ML are revolutionizing how we evaluate treatments by predicting the causal impact of treatments on patient outcomes, known as causal ML. This approach leverages data from randomized controlled trials (RCTs) and real-world data sources like clinical registries and electronic health records… Read More »Revolutionizing Personalized Medicine: The Promise and Challenges of Causal Machine Learning in Clinical Care Sana Hassan Artificial Intelligence Category – MarkTechPost
[[{“value”:” Generative vision-language models (VLMs) have revolutionized radiology by automating the interpretation of medical images and generating detailed reports. These advancements hold promise for reducing radiologists’ workloads and enhancing diagnostic accuracy. However, VLMs are prone to generating hallucinated content—nonsensical or incorrect text—which can lead to… Read More »From Phantoms to Facts: DPO Fine-Tuning Minimizes Hallucinations in Radiology Reports, Boosting Clinical Trust Nikhil Artificial Intelligence Category – MarkTechPost
[[{“value”:” A major challenge in diffusion models, especially those used for image generation, is the occurrence of hallucinations. These are instances where the models produce samples entirely outside the support of the training data, leading to unrealistic and non-representative artifacts. This issue is critical because… Read More »CMU Researchers Provide an In-Depth Study to Formulate and Understand Hallucination in Diffusion Models through Mode Interpolation Aswin Ak Artificial Intelligence Category – MarkTechPost
Voice activity detection (VAD) is a critical component in various applications such as speech recognition, speaker identification, and hands-free communication systems. With the increasing demand for personalized and context-aware technologies, the need for effective personalized VAD systems has become paramount. In this paper, we present… Read More »Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness Apple Machine Learning Research
[[{“value”:”This paper was accepted at the Industry Track at NAACL 2024. With increasingly more powerful compute capabilities and resources in today’s devices, traditionally compute-intensive automatic speech recognition (ASR) has been moving from the cloud to devices to better protect user privacy. However, it is still… Read More »Conformer-Based Speech Recognition on Extreme Edge-Computing Devices Apple Machine Learning Research