The text discusses the misuse of AI leading to a reproducibility crisis in scientific research and technological applications. It explores the fundamental issues contributing to this detrimental effect and highlights the challenges specific to AI-based science, such as data quality, modeling transparency, and risks of data leakage. The article also suggests standards and solutions to…

Researchers from MRC Brain Network Dynamics Unit and Oxford University identified a new approach to comparing learning in AI systems and the human brain. The study highlights backpropagation in AI versus the prospective configuration in the human brain, showing the latter’s efficiency. Future research aims to bridge the gap between abstract models and real brains.…

MIT’s CSAIL researchers have designed an innovative approach using AI models to explain the behavior of other systems, such as large neural networks. Their method involves “automated interpretability agents” (AIA) that generate intuitive explanations and the “function interpretation and description” (FIND) benchmark for evaluating interpretability procedures. This advancement aims to make AI systems more understandable…

CLIP, developed by OpenAI in 2021, is a deep learning model that unites image and text modalities within a shared embedding space. This enables direct comparisons between the two, with applications including image classification and retrieval, content moderation, and extensions to other modalities. The model’s core implementation involves joint training of an image and text…

MobileVLM is an innovative multimodal vision language model (MMVLM) specifically designed for mobile devices. Created by researchers from Meituan Inc., Zhejiang University, and Dalian University of Technology, it efficiently integrates large language and vision models, optimizes performance and speed, and demonstrates competitive results on various benchmarks. For more information, visit the Paper and Github.

The AI in Finance Summit New York 2024, on April 24-25 at etc.venues 360 Madison, brings together industry leaders and innovators to discuss AI’s role in finance. With a focus on topics like deep learning, NLP, and fraud detection, the summit offers an exceptional opportunity for professionals to gain insights from experts. Understand more at…

Microsoft’s Xbox division drew criticism for using AI-generated artwork in promoting indie games, causing backlash. The seemingly benign wintry scene featured distorted faces, sparking controversy over the use of AI in place of human artists. Similar to Marvel’s “Secret Invasion,” this controversy raises questions about valuing artists’ work over AI convenience. Source: DailyAI.

OpenVoice, developed by MIT, Tsinghua University, and MyShell, is an open-source voice cloning model that offers precise control, enabling users to clone voices with ease. It boasts instant cloning capabilities and detailed control options, setting it apart from proprietary algorithms. Its release is accompanied by a research paper, emphasizing its open-source nature and potential impact…

The AI Foundation Model Transparency Act aims to address concerns about bias and inaccuracies in AI systems. The Act proposes detailed reporting requirements for training data and operational aspects of foundation models, mandating transparency to foster responsible and ethical use of AI technology across sectors such as healthcare, cybersecurity, and financial decisions.

Large Language Models (LLMs) require supervised fine-tuning (SFT) to match human instructions, which traditionally caused performance loss. Researchers from Fudan University and Hikvision Inc. propose a solution – LoRAMoE, a plugin version of Mixture of Experts, to maintain world knowledge in LLMs. The experiment proved LoRAMoE’s efficacy in preventing knowledge forgetting and enhancing multi-task learning.