The rise of “liar’s dividend” as AI-generated deep fakes continue to trouble

Practical Solutions for AI Transparency Enhancing Transparency for Foundation Models Foundation models play a central role in the economy and society, and transparency is vital for accountability and understanding. Regulations like the EU AI Act and…

Revolutionizing Video and Image Understanding with AI Multi-modal Large Language Models (MLLMs) Multi-modal Large Language Models (MLLMs) have transformed image and video tasks like visual question answering, narrative creation, and interactive editing. However, understanding video content…

Peking University and Alibaba Group developed FastV to tackle inefficiencies in Large Vision-Language Models’ attention computation. FastV dynamically prunes less relevant visual tokens, significantly reducing computational costs without compromising performance. This improves the computational efficiency and…

Advancements in Text-to-Speech Technology Text-to-speech (TTS) technology has improved significantly, but it still faces challenges. Traditional TTS models are complex and require a lot of resources. This makes them hard to adapt for on-device use. Additionally,…

Enhancing AI with Advanced Web Navigation Artificial intelligence needs to effectively search and retrieve detailed information from the internet to improve its capabilities. Traditional search engines often provide shallow results, missing the deeper insights required for…

The Challenge in Automotive Aerodynamics High-resolution 3D datasets for automotive aerodynamics are scarce, making it hard to create efficient machine learning (ML) models. Most available resources are low quality, restricting improvements in aerodynamic design. Addressing these…

Understanding Multimodal Large Language Models (MLLMs) Multimodal Large Language Models (MLLMs) are advanced AI systems that can understand both text and visual information. However, they struggle with detailed tasks like object detection, which is essential for…

Practical Solutions and Value of Reinforcement Learning with Execution Feedback in Code Synthesis Overview: Large Language Models (LLMs) use Natural Language Processing to generate code for tasks like software development. Improving alignment with input is crucial…

Practical Solutions with Chemtrain: A Unique AI Framework for Refining Molecular Dynamics Simulations with Neural Networks Enhancing Molecular Dynamics Simulations The implementation of Neural Networks (NNs) is significantly increasing as a means of improving the precision…

Practical AI Solutions for Software Engineering Language Models in Software Engineering Language models (LMs) are now being used in software engineering to accelerate development. They assist users in refining LM-generated code based on computer feedback, potentially…

Google recently introduced a search feature called Search Generative Experience (SGE), which uses generative AI to provide summarized answers to search queries. While Google aims to improve user experience, media publishers are concerned about the lack…

Introduction to AI Agents AI agents can analyze large datasets, optimize business processes, and assist in decision-making across various fields. However, creating and customizing large language model (LLM) agents remains challenging for many users, primarily due…

Practical Solutions for Mitigating Memorization in Language Models Addressing Privacy and Copyright Risks Language models can pose privacy and copyright risks by memorizing and reproducing training data. This can lead to conflicts with licensing terms and…

The Value of Speculative Retrieval Augmented Generation (Speculative RAG) Enhancing Accuracy and Efficiency in Knowledge-intensive Query Processing with LLMs The field of natural language processing has seen significant advancements with the emergence of Large Language Models…

The Kendall Square Association’s 15th annual meeting, titled “Looking Back, Looking Ahead,” allowed members of the community to reflect on the region’s progress and discuss future plans. The event featured talks on recent funding achievements, a…