This week’s AI news features the following highlights: 1. Taylor Swift’s battle against explicit AI deep fake images and the concerning ease of generating such content using AI. 2. The rise of political deep fakes showcasing AI’s capabilities in replicating voices with convincing realism and the challenges of detecting these fakes. 3. OpenAI’s evolving transparency…

The CMMMU benchmark has been introduced to bridge the gap between powerful Large Multimodal Models (LMMs) and expert-level artificial intelligence in tasks involving complex perception and reasoning with domain-specific knowledge. It comprises 12,000 Chinese multimodal questions across six core disciplines and employs a rigorous data collection and quality control process. The benchmark evaluates LMMs, presents…

The integration of large language models (LLMs) in software development has revolutionized code intelligence, automating aspects of programming and increasing productivity. Disparities between open-source and closed-source models have hindered accessibility and democratization of advanced coding tools. DeepSeek-AI and Peking University’s DeepSeek-Coder series addresses this gap, enhancing open-source models’ functionality and performance, marking a significant advancement…

AgentBoard, developed by researchers from multiple Chinese universities, presents a benchmark framework and toolkit for evaluating LLM agents. It addresses challenges in assessing multi-round interactions and diverse scenarios in agent tasks. With a fine-grained progress rate metric and interactive visualization, it illuminates the capabilities and limitations of LLM agents across varied environments.

The researchers from The Chinese University of Hong Kong and Tencent AI Lab introduce the Multimodal Pathway Transformer (M2PT) to enhance transformer performance by incorporating irrelevant data from other modalities, resulting in substantial performance improvements across various recognition tasks. The approach involves Cross-Modal Re-parameterization and demonstrates tangible implementation of auxiliary weights without incurring inference costs.

The demand for AI is challenging environmental sustainability, as it significantly increases electricity consumption. Data centers, particularly those supporting generative AI, strain global energy infrastructure. The rising electricity demands from AI and data centers are creating environmental and grid stability concerns, urging the need for more sustainable practices within the AI industry and alternative energy…

Recent advancements in large language models (LLMs) like Chat-GPT and LLaMA-2 have led to an exponential increase in parameters, posing challenges in inference delay. To address this, Intellifusion Inc. and Harbin Institute of Technology propose Bi-directional Tuning for lossless Acceleration (BiTA) to expedite LLMs, achieving significant speedups without compromising output quality. (50 words)

Researchers from the University of Surrey have used AI to improve carbon capture technology. By employing AI algorithms, they achieved a 16.7% increase in CO2 capture and reduced energy usage by 36.3%. The system employed packed bubble column reactor and machine learning techniques to optimize performance. This study demonstrates the potential of AI in creating…

Researchers from UC Berkeley and UCSF have introduced Cross-Attention Masked Autoencoders (CrossMAE) in computer vision, aiming to enhance processing efficiency for visual data. By leveraging cross-attention exclusively for decoding masked patches, CrossMAE simplifies and expedites the decoding process, achieving substantial computational reduction while maintaining quality and performance in complex tasks. This research presents a groundbreaking…

RAND and OpenAI issued conflicting reports on the possibility of using AI for bioweapon development. OpenAI’s study, involving biology experts and internet access, found that access to a research version of GPT-4 may enhance the ability to access biological threat information but emphasized that information access alone is insufficient for bioweapon creation. The study concluded…