​[[{“value”:” Synthetic data creation uses sophisticated algorithms like GANs, VAEs, or diffusion models to generate imitation datasets that mimic the statistical characteristics of real-world data. Traditional anonymization methods might not be able to solve privacy issues like breaches or re-identification, but synthetic solutions do. Even… Read More »Synthetic Data Outliers: Navigating Identity Disclosure Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Web scraping has emerged as a crucial method for gathering data, allowing companies and researchers to extract insightful information from the abundance of publicly accessible online content. Selecting the best online scraping tool might be difficult because there are so many of them accessible,… Read More »Top 15 Web Scraping Tools for Data Collection Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In robotics, tactile sensing is a critical technology that complements visual information, allowing the robots to interact with their environment in a way that is similar to human touch. They can perceive object textures and hardness well. However, the sensors are limited in their… Read More »DLO-Tact: Advancing Robotic Perception through Deep Learning-Assisted Object Recognition with a Hybrid Triboelectric-Capacitive Tactile Sensor Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Agentic AI has emerged as a result of the quick development of Artificial Intelligence (AI). This new wave of AI is changing industries and reinventing how humans and machines work together. It is distinguished by its autonomous decision-making and problem-solving capabilities. In contrast to… Read More »What is Agentic AI? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Marqo has introduced four groundbreaking datasets and state-of-the-art e-commerce embedding models designed to advance product search, retrieval, and recommendation capabilities in e-commerce. These models, Marqo-Ecommerce-B and Marqo-Ecommerce-L, offer substantial improvements in accuracy and relevance for e-commerce platforms by delivering high-quality embedding representations of product… Read More »Marqo Releases Advanced E-commerce Embedding Models and Comprehensive Evaluation Datasets to Revolutionize Product Search, Recommendation, and Benchmarking for Retail AI Applications Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite their advanced reasoning capabilities, the latest LLMs often miss the mark when deciphering relationships. In this article, we explore the Reversal Curse, a pitfall that affects LLMs across tasks such as comprehension and generation. To understand the underlying issue, it is a phenomenon… Read More »Bidirectional Causal Language Model Optimization to Make GPT and Llama Robust Against the Reversal Curse Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In real-world settings, agents often face limited visibility of the environment, complicating decision-making. For instance, a car-driving agent must recall road signs from moments earlier to adjust its speed, yet storing all observations is unscalable due to memory limits. Instead, agents must learn compressed… Read More »GaLiTe and AGaLiTe: Efficient Transformer Alternatives for Partially Observable Online Reinforcement Learning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Edge AI has long faced the challenge of balancing efficiency and effectiveness. Deploying Vision Language Models (VLMs) on edge devices is difficult due to their large size, high computational demands, and latency issues. Models designed for cloud environments often struggle with the limited resources… Read More »Nexa AI Releases OmniVision-968M: World’s Smallest Vision Language Model with 9x Tokens Reduction for Edge Devices Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advancements in large language models (LLMs) have revolutionized natural language processing, with applications spanning text generation, translation, and summarization. These models rely on large amounts of data, large parameter counts, and expansive vocabularies, necessitating sophisticated techniques to manage computational and memory requirements. A critical… Read More »Apple Researchers Propose Cut Cross-Entropy (CCE): A Machine Learning Method that Computes the Cross-Entropy Loss without Materializing the Logits for all Tokens into Global Memory Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. Responsible AI is a practice of designing,… Read More »Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications Laura Verghote AWS Machine Learning Blog