​[[{“value”:” Mathematics is the cornerstone of artificial intelligence. These theories provide the framework for developing intelligent systems capable of learning, reasoning, and making decisions. From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping… Read More »15 Fundamental Mathematics Theories Needed to Understand AI Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neural audio compression has emerged as a critical challenge in digital signal processing, particularly in achieving efficient audio representation while preserving quality. Traditional audio codecs, despite their widespread use, face limitations in achieving lower bitrates without compromising audio fidelity. While recent neural compression methods… Read More »Multi-Scale Neural Audio Codec (SNAC): An Wxtension of Residual Vector Quantization that Uses Quantizers Operating at Multiple Temporal Resolutions Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The advancement of artificial intelligence often reveals new ways for machines to augment human capabilities. Anthropic AI’s latest innovation introduces features designed to overcome critical limitations in AI-human interactions. Specifically, Anthropic AI is tackling the challenges of improving AI’s understanding of nuanced prompts, enabling… Read More »Anthropic AI Introduces a New Claude 3.5 Sonnet with Computer Use Feature, and Claude 3.5 Haiku Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an increasingly interconnected world, understanding and making sense of different types of information simultaneously is crucial for the next wave of AI development. Traditional AI models often struggle with integrating information across multiple data modalities—primarily text and images—to create a unified representation that… Read More »Cohere Releases Multimodal Embed 3: A State-of-the-Art Multimodal AI Search Model Unlocking Real Business Value for Image Data Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement learning (RL) has been pivotal in advancing artificial intelligence by enabling models to learn from their interactions with the environment. Traditionally, reinforcement learning relies on rewards for positive actions and penalties for negative ones. A recent approach, Reinforcement Learning from Human Feedback (RLHF),… Read More »Generative Reward Models (GenRM): A Hybrid Approach to Reinforcement Learning from Human and AI Feedback, Solving Task Generalization and Feedback Collection Challenges Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI models have become highly prominent in recent years for their ability to generate new content based on existing data, such as text, images, audio, or video. A specific sub-type, diffusion models, produces high-quality outputs by transforming noisy data into a structured format.… Read More »Discrete Diffusion with Planned Denoising (DDPD): A Novel Machine Learning Framework that Decomposes the Discrete Generation Process into Planning and Denoising Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. This emphasis has resulted in a significant gap in linguistic and cultural representation, with many languages and cultural contexts around the world… Read More »CMU Researchers Release Pangea-7B: A Fully Open Multimodal Large Language Models MLLMs for 39 Languages Asif Razzaq Artificial Intelligence Category – MarkTechPost