​[[{“value”:” Machine learning has become an important domain that has contributed to developing platforms and products that are data-driven, adaptive, and intelligent. The AI systems help to shape the users, and in turn, users shape these systems. A popular method, Content Recommender Systems (CRS), can… Read More »Formal Interaction Model (FIM): A Mathematics-based Machine Learning Model that Formalizes How AI and Users Shape One Another Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) has traditionally been driven by statistical learning methods that excel in identifying patterns from large datasets. These methods, however, predominantly capture correlations rather than causations. This distinction is crucial, as correlation does not imply causation. Causal AI emerges as a groundbreaking… Read More »Understanding Causal AI: Bridging the Gap Between Correlation and Causation Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” MLCommons, a collaborative effort of industry and academia, focuses on enhancing AI safety, efficiency, and accountability through rigorous measurement standards like MLPerf. Its AI Safety Working Group, established in late 2023, aims to develop benchmarks for assessing AI safety, tracking its progress over time,… Read More »This AI Paper from MLCommons AI Safety Working Group Introduces v0.5 of the Groundbreaking AI Safety Benchmark Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the widespread deployment of large language models (LLMs) for long content generation, there’s a growing need for efficient long-sequence inference support. However, the key-value (KV) cache, crucial for avoiding re-computation, has become a critical bottleneck, increasing in size linearly with sequence length. The… Read More »Researchers at CMU Introduce TriForce: A Hierarchical Speculative Decoding AI System that is Scalable to Long Sequence Generation Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Meta has officially introduced its new AI assistant, an AI chatbot called Meta AI, powered by Meta’s latest and most capable openly available LLM, Meta Llama 3. Since the big bang in the popularity of AI chatbots with OpenAI’s ChatGPT, almost every major organization… Read More »Meta Launches Llama-3 Powered Meta AI Chatbot Assistant to Compete with ChatGPT Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep learning has dramatically transformed industries, from healthcare to autonomous driving. However, these advancements wouldn’t be possible without parallel developments in hardware technology. Let’s explore the evolution of deep learning hardware, focusing on GPUs and TPUs and what the future holds. The Rise of… Read More »Advancements in Deep Learning Hardware: GPUs, TPUs, and Beyond Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Code generation has emerged as a significant area for evaluating and deploying Large Language Models (LLMs). However, many of the current coding benchmarks, like HumanEval and MBPP, have achieved solution rates above 90% as language models have grown in size and new inference techniques… Read More »Can Language Models Solve Olympiad Programming? Researchers at Princeton University Introduce USACO Benchmark for Rigorously Evaluating Code Language Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google AI researchers introduced ScaNN vector search library to address the need of efficient vector similarity search, which is a critical component of many machine learning algorithms. Existing methods for vector similarity calculation work well with small datasets, but as datasets continue to grow… Read More »Google AI Introduces SOAR: An Algorithmic Improvement to Vector Search that Introduces Effective and Low-Overhead Redundancy to ScaNN Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep neural networks like convolutional neural networks (CNNs) have revolutionized various computer vision tasks, from image classification to object detection and segmentation. As models grew larger and more complex, their accuracy soared. However, deploying these resource-hungry giants on devices with limited computing power, such… Read More »ReffAKD: A Machine Learning Method for Generating Soft Labels to Facilitate Knowledge Distillation in Student Models Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google DeepMind has recently introduced Penzai, a new JAX library that has the potential to transform the way researchers construct, visualize, and alter neural networks. This innovative tool is designed to smoothly integrate with Google Colab and the JAX ecosystem, which is a major step forward in the… Read More »Google DeepMind Releases Penzai: A JAX Library for Building, Editing, and Visualizing Neural Networks Asif Razzaq Artificial Intelligence Category – MarkTechPost