​[[{“value”:” Today, we announced the General Availability of Amazon Q, the most capable generative AI powered assistant for accelerating software development and leveraging companies’ internal data. “During the preview, early indications signaled Amazon Q could help our customers’ employees become more than 80% more productive… Read More »Amazon Q Business and Amazon Q in QuickSight empowers employees to be more data-driven and make better, faster decisions using company knowledge Mukesh Karki AWS Machine Learning Blog

​[[{“value”:” By Rufus Rock, UCL; Tim O’Reilly, UCL; Ilan Strauss, UCL; and Mariana Mazzucato, UCL This article is republished from The Conversation under a Creative Commons license. Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. Even Einstein… Read More »To understand the risks posed by AI, follow the money AI & ML – Radar

​[[{“value”:” Artificial intelligence (AI) is transforming healthcare, bringing sophisticated computational techniques to bear on challenges ranging from diagnostics to treatment planning. In this dynamic field, large language models (LLMs) are emerging as powerful tools capable of parsing and understanding complex medical data, thus promising to… Read More »Hippocrates: An Open-Source Machine Learning Framework for Advancing Large Language Models in Healthcare Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike the local message-passing in graph neural networks (GNNs). In addition, the self-attention mechanism in GTs permits each node to look… Read More »Gradformer: A Machine Learning Method that Integrates Graph Transformers (GTs) with the Intrinsic Inductive Bias by Applying an Exponential Decay Mask to the Attention Matrix Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence is constantly advancing, and there’s always something new to be excited about. A few moments ago, a cutting-edge AI model called “gpt2-chatbot” was making waves in X’s AI community (Twitter). This new large language model (LLM) has generated a lot of discussion… Read More »GPT-4.5 or GPT-5? Unveiling the Mystery Behind the ‘gpt2-chatbot’: The New X Trend for AI Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the significant development in the rapidly developing field of Artificial Intelligence driven healthcare, a team of researchers has introduced OpenBioLLM-Llama3-70B & 8B models. These state-of-the-art Large Language Models (LLMs) have the potential to completely transform medical natural language processing (NLP) by establishing new… Read More »Llama-3-based OpenBioLLM-Llama3-70B and 8B: Outperforming GPT-4, Gemini, Meditron-70B, Med-PaLM-1 and Med-PaLM-2 in Medical-Domain Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Instant Voice Cloning (IVC) in Text-to-Speech (TTS) synthesis, also known as Zero-shot TTS, allows TTS models to replicate the voice of any given speaker with just a short audio sample without requiring additional training on that speaker. While existing methods like VALLE and XTTS… Read More »OpenVoice V2: Evolving Multilingual Voice Cloning with Enhanced Style Control and Cross-Lingual Capabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Physics-Informed Neural Networks (PINNs) have become a cornerstone in integrating deep learning with physical laws to solve complex differential equations, marking a significant advance in scientific computing and applied mathematics. These networks offer a novel methodology for encoding differential equations directly into the architecture… Read More »Physics-Based Deep Learning: Insights into Physics-Informed Neural Networks (PINNs) Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The success of many reinforcement learning (RL) techniques relies on dense reward functions, but designing them can be difficult due to expertise requirements and trial and error. Sparse rewards, like binary task completion signals, are easier to obtain but pose challenges for RL algorithms,… Read More »Researchers at UC San Diego Propose DrS: A Novel Machine Learning Approach for Learning Reusable Dense Rewards for Multi-Stage Tasks in a Data-Driven Manner Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Evaluating Multimodal Large Language Models (MLLMs) in text-rich scenarios is crucial, given their increasing versatility. However, current benchmarks mainly assess general visual comprehension, overlooking the nuanced challenges of text-rich content. MLLMs like GPT-4V, Gemini-Pro-Vision, and Claude-3-Opus showcase impressive capabilities but lack comprehensive evaluation in… Read More »SEED-Bench-2-Plus: An Extensive Benchmark Specifically Designed for Evaluating Multimodal Large Language Models (MLLMs) in Text-Rich Scenarios Sana Hassan Artificial Intelligence Category – MarkTechPost