​[[{“value”:” Google has just rolled out an exciting update to its Gemini models by releasing Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, offering production-ready versions, reduced pricing, and increased rate limits. The enhanced models deliver improved performance across a wide array of tasks, marking a significant step in making… Read More »Google AI Releases Two Updated Production-Ready Gemini Models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 with Enhanced Performance and Lower Costs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The climate crisis is one of the greatest challenges facing our world today. Its impacts are far-reaching, affecting every aspect of our lives—from public health and food security to economic stability and social justice. What’s more, the effects of climate change disproportionately burden the… Read More »Harnessing the power of AI to drive equitable climate solutions: The AI for Equity Challenge Joe Fontaine AWS Machine Learning Blog

​We’re releasing two updated production-ready Gemini models We’re releasing two updated production-ready Gemini models  Read More  

​[[{“value”:” Solving sequential tasks requiring multiple steps poses significant challenges in robotics, particularly in real-world applications where robots operate in uncertain environments. These environments are often stochastic, meaning robots face variability in actions and observations. A core goal in robotics is to improve the efficiency… Read More »Researchers at Rice University Introduce RAG-Modulo: An Artificial Intelligence Framework for Improving the Efficiency of LLM-Based Agents in Sequential Tasks Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Knowledge graphs (KGs) are structured representations of facts consisting of entities and relationships between them. These graphs have become fundamental in artificial intelligence, natural language processing, and recommendation systems. By organizing data in this structured way, knowledge graphs enable machines to understand and reason… Read More »KnowFormer: A Transformer-Based Breakthrough Model for Efficient Knowledge Graph Reasoning, Tackling Incompleteness and Enhancing Predictive Accuracy Across Large-Scale Datasets Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neural audio codecs have completely changed how audio is compressed and handled, by converting continuous audio signals into discrete tokens. This technique uses generative models trained on discrete tokens to produce complicated audio while maintaining the excellent quality of the audio. These neural codecs… Read More »Source-Disentangled Neural Audio Codec (SD-Codec): A Novel AI Approach that Combines Audio Coding and Source Separation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Collective intelligence improves the effectiveness of groups, organizations, and societies by utilizing distributed cognition and coordination, often facilitated by technologies such as online prediction markets and discussion forums. While LLMs like GPT-4 introduce crucial discussions around understanding, ethics, and the potential for artificial general… Read More »Harnessing Collective Intelligence in the Age of Large Language Models: Opportunities, Risks, and Future Directions Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex problems involving constraints and objectives. Linear programming (LP) solvers help businesses maximize profits, minimize costs, and improve efficiency by identifying optimal solutions within… Read More »PDLP (Primal-Dual Hybrid Gradient Enhanced for LP): A New FOM–based Linear Programming LP Solver that Significantly Scales Up Linear Programming LP Solving Capabilities Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made significant strides in processing extensive contexts, with some models capable of handling up to 10 million tokens. However, this advancement brings challenges in inference efficiency due to the quadratic complexity of attention computation. While KV caching has been… Read More »RetrievalAttention: A Training-Free Machine Learning Approach to both Accelerate Attention Computation and Reduce GPU Memory Consumption Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Accurately measuring physiological signals such as heart rate (HR) and heart rate variability (HRV) from facial videos using remote photoplethysmography (rPPG) presents several significant challenges. rPPG, a non-contact technique that analyzes subtle changes in blood volume from facial video, offers a promising solution for… Read More »What if Facial Videos Could Measure Your Heart Rate? This AI Paper Unveils PhysMamba and Its Efficient Remote Physiological Solution Aswin Ak Artificial Intelligence Category – MarkTechPost