​[[{“value”:” Maps are extensively used nowadays and are helpful in numerous location-based applications, including navigation, ride-sharing, fitness tracking, gaming, robotics, and augmented reality. As indoor localization technologies advance, the need arises for a scalable, federated mapping service that can manage indoor and private spaces while… Read More »CMU Researchers Propose OpenFLAME: A Federated and Decentralized Localization Service Nazmi Syed Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With rapid technological advances and increased internet use in business, cybersecurity has become a major global concern, especially in digital banking and payments. Digital systems offer efficiency and convenience but expose users to fraud risks, including identity theft and unauthorized access. Traditional methods struggle… Read More »FinSafeNet: Advancing Digital Banking Security with Deep Learning for Fraud Detection and Real-Time Transaction Protection Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of AI-driven image generation and understanding has seen rapid progress, but significant challenges hinder the development of a seamless, unified approach. Currently, models that excel in image understanding often struggle to generate high-quality images and vice versa. The need to maintain separate… Read More »DeepSeek AI Releases JanusFlow: A Unified Framework for Image Understanding and Generation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The need for efficient retrieval methods from documents that are rich in both visuals and text has been a persistent challenge for researchers and developers alike. Think about it: how often do you need to dig through slides, figures, or long PDFs that contain… Read More »Voyage AI Introduces voyage-multimodal-3: A New State-of-the-Art for Multimodal Embedding Model that Improves Retrieval Accuracy by an Average of 19.63% Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Knowledge graphs are finding their way into financial practices, especially as powerful tools for competitor retrieval tasks. Graph’s ability to organize and analyze complex data effectively allows them to gain insights from competitive clues and reveal meaningful connections between companies. They thus substitute manual… Read More »JPMorgan Chase Researchers Propose JPEC: A Novel Graph Neural Network that Outperforms Expert’s Predictions on Tasks of Competitor Retrieval Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” To provide high-quality medical care to its population — around 30% of whom are 65 or older — Japan is pursuing sovereign AI initiatives supporting nearly every aspect of healthcare. AI tools trained on country-specific data and local compute infrastructure are supercharging the abilities… Read More »Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms Kimberly Powell – Archives Page 1 | NVIDIA Blog

​[[{“value”:” In recent years, training large language models has faced a crucial challenge: determining the optimal data mixture. Models like GPT-4 can generate diverse content types, ranging from legal texts to conversational responses. However, their performance hinges significantly on the right balance of training data… Read More »Meet Aioli: A Unified Optimization Framework for Language Model Data Mixing Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Causal disentanglement is a critical field in machine learning that focuses on isolating latent causal factors from complex datasets, especially in scenarios where direct intervention is not feasible. This capability to deduce causal structures without interventions is particularly valuable across fields like computer vision,… Read More »Achieving Causal Disentanglement from Purely Observational Data without Interventions Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Etzik Bega from Agmatix. Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. Focused on addressing the… Read More »Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock Etzik Bega AWS Machine Learning Blog

​[[{“value”:” In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. The results are similar… Read More »Generate financial industry-specific insights using generative AI and in-context fine-tuning Randy DeFauw AWS Machine Learning Blog