Latest in AI

Ralph Gootee, CTO and Co-Founder at TigerEye, leads the development of a business simulation platform designed to enhance strategic decision-making, planning, and execution. By leveraging advanced time-aware AI technology, TigerEye enables organizations to streamline planning processes, simulate various scenarios, and make data-driven decisions more efficiently. Founded by Gootee and former PlanGrid executives, TigerEye addresses common […]

The post Ralph Gootee, CTO and Co-Founder at TigerEye – Interview Series appeared first on Unite.AI.

Healthcare leaders are keen to embrace AI, partly to keep pace with competitors and other industries, but, more importantly, to increase efficiency and improve patient experiences. However, only 77% of healthcare leaders actually trust AI to benefit their business. While AI chatbots excel at handling routine tasks, processing data, and summarizing information, the highly regulated […]

The post Addressing AI Skepticism in Healthcare: Overcoming Obstacles To Secure Communication appeared first on Unite.AI.

As we move into 2025, the cybersecurity landscape is entering a critical period of transformation. The advancements in artificial intelligence that have driven innovation and progress for the last several years, are now poised to become a double-edged sword. As security professionals, these tools promise new capabilities for defense and resilience. On the other hand, […]

The post The Dual-Edged Sword of AI in Cybersecurity: Opportunities, Threats, and the Road Ahead appeared first on Unite.AI.

Due to the nature of some of the material discussed here, this article will contain fewer reference links and illustrations than usual. Something noteworthy is currently happening in the AI synthesis community, though its significance may take a while to become clear. Hobbyists are training generative AI video models to reproduce the likenesses of people, […]

The post The Rise of Hunyuan Video Deepfakes appeared first on Unite.AI.

The golden datasets in AI refer to the purest and highest quality datasets that you can get to train your AI system. Being the highest standard of datasets, golden datasets are often referred to as “ground truth datasets,” and provide a benchmark for the AI systems.  The reason why the term “Golden Datasets” became popular […]

The development of Physical AI—AI systems designed to simulate, predict, and optimize real-world physics—has long been constrained by significant challenges. Building accurate models often demands extensive computational resources and time, with simulations sometimes requiring days or weeks to produce actionable results. Additionally, the complexity of scaling these systems for practical use across industries such as […]

The post NVIDIA AI Introduces Cosmos World Foundation Model (WFM) Platform to Advance Physical AI Development appeared first on MarkTechPost.

Dense embedding-based text retrieval has become the cornerstone for ranking text passages in response to queries. The systems use deep learning models for embedding text into vector spaces that enable semantic similarity measurements. This method has been adopted widely in applications such as search engines and retrieval-augmented generation (RAG), where retrieving accurate and contextually relevant […]

The post This AI Paper from Tel Aviv University Introduces GASLITE: A Gradient-Based Method to Expose Vulnerabilities in Dense Embedding-Based Text Retrieval Systems appeared first on MarkTechPost.

In a time when global health faces persistent threats from emerging pandemics, the need for advanced biosurveillance and pathogen detection systems is increasingly evident. Traditional genomic analysis methods, while effective in isolated cases, often struggle to address the complexities of large-scale health monitoring. A significant challenge is identifying and understanding the genomic diversity in environments […]

The post Researchers from USC and Prime Intellect Released METAGENE-1: A 7B Parameter Autoregressive Transformer Model Trained on Over 1.5T DNA and RNA Base Pairs appeared first on MarkTechPost.

Predicting transcriptomes directly from genome sequences is a significant challenge in microbial genomics, particularly for the numerous sequenced microbes that remain unculturable or require complex experimental protocols like RNA-seq. The gap between genomic information and functional understanding leaves us without knowledge of the microbial adaptive processes, survival mechanisms, and gene regulation functions. This must be […]

The post This AI paper from the Beijing Institute of Technology and Harvard Unveils TXpredict for Predicting Microbial Transcriptomes appeared first on MarkTechPost.

When it comes to AI tools, chatbots are often the first thing that comes to mind —conversation-based interfaces for users to write queries and receive responses. These dialogue interfaces are certainly useful, but they aren’t always the best fit for handling our everyday work. Often tacked on to the side of our workflows, chatbots supplement […]

The post Meet Height: An Autonomous Project Management Platform Leading the Next Wave of AI Tools appeared first on MarkTechPost.