The NYPD has partnered with tech company Truleo to use AI to analyze police body-worn camera footage. Truleo’s software categorizes officers’ language and scores interactions as “professional” or “unprofessional.” Meanwhile, in the UK, there are plans to roll out facial recognition technology in shops, despite concerns about privacy and bias.
The text discusses the challenges of building anomaly detection models using high-resolution imagery and proposes a two-stage approach to overcome these challenges. It describes the training process for a Rekognition Custom Labels model and presents the results of experiments conducted using one-stage and two-stage models to detect missing holes in PCBs. The two-stage model outperformed…
Anthropic, the company behind the AI chatbot Claude, conducted an experiment involving around 1,000 Americans to explore the idea of letting ordinary people shape the rules that govern AI behavior. By allowing public input, Anthropic aims to bridge the gap between public opinion and the AI industry. The experiment resulted in a “Collective Constitutional AI”…
A safety mitigation stack was created for the wider release of DALL·E 3. Updates on provenance research will be shared.
AI models like GPT-4, used by companies such as OpenAI and Meta, can infer personal information from our online chats and comments, even when we think we’re not revealing anything personal. Researchers found that GPT-4 could accurately infer attributes like age, education, sex, occupation, and more from Reddit comments. This has implications for privacy and…
The text explains how to summarize text effectively and accurately.
A new diffusion-based continuous GNN model has been developed that improves generalization capabilities.
A group of researchers has developed an algorithm known as Cross-Episodic Curriculum (CEC) to address challenges in applying data-hungry algorithms, like transformer models, to fields with limited data. CEC incorporates cross-episodic experiences into a curriculum to improve learning and generalization efficiency. The algorithm has been successfully applied to solving challenges in multi-task reinforcement learning and…
This article introduces the business model of making money through TikTok Dropshipping. Sebastian Esqueda, a successful dropshipper, shares his exact model on the WGMI Media Podcast. The article explains the concept of TikTok Shop, its affiliate program for content creators, and provides a step-by-step guide on how to create a TikTok Shop. The strategy involves…
Researchers from Stanford, MIT, and Princeton created the Foundation Model Transparency Index (FMTI) to benchmark the transparency of AI companies and their models. Meta’s Llama 2 ranked first with a score of 54%, followed closely by OpenAI with 48%. The index highlights the need for greater transparency in AI solutions and helps organizations make informed…
Generative AI systems have various applications, including writing books and creating graphic designs. However, evaluating their ethical and social risks is crucial. This paper proposes a three-layered framework for evaluating these risks, focusing on AI system capability, human interaction, and systemic impacts. There are three main gaps in safety evaluations: context, specific risks, and multimodality.…
This text emphasizes the importance of continuous learning and growth in one’s career. It introduces several articles that cover various technical topics, such as generative AI, principle component analysis, image classification, linear algebra, support vector machines, and transformers. These articles provide accessible and actionable information for readers, whether they are beginners or experienced professionals. Additional…
Nvidia, the valuable chip company, is partnering with Foxconn, the iPhone manufacturer, to construct AI factories. These data centers will utilize Nvidia’s advanced chips for various artificial intelligence applications. The partnership was announced by Nvidia CEO Jensen Huang and Foxconn chairman Young Liu during a tech showcase event. These AI factories will enable training of…
deepsense.ai has partnered with LangChain, a framework that simplifies the development of Large Language Models (LLMs) applications. The partnership allows deepsense.ai to provide support and contribute to the LangChain community. Additionally, deepsense.ai gains exclusive access to LangSmith, a new tool for debugging and monitoring LLM applications, enhancing their ability to tailor AI solutions for clients.
Abu Dhabi-based company M42 Health has released Med42, an open-access clinical large language model (LLM) designed to enhance public access to advanced AI capabilities in healthcare. Med42, built using a human-curated medical literature and patient information dataset, outperforms existing medical AI models and offers accurate responses to medical inquiries. While further validation is needed, Med42…
Actionable data science tips to overcome operational challenges in transitioning to a circular economy include estimating the environmental impact of current linear models, automating life cycle assessment using data analytics, implementing sustainable sourcing and supply chain optimization, addressing the opacity of supply chain networks, streamlining reverse logistics operations, optimizing material efficiency through linear programming, and…
Researchers from the National University of Singapore have developed Show-1, a hybrid model for text-to-video generation. Show-1 combines pixel-based and latent-based video diffusion models (VDMs) to create high-quality videos with precise alignment. The model utilizes pixel VDMs for low-resolution videos and latent VDMs for upsampling to high resolution. Show-1 outperforms other models on video generation…
Former Fugees member Pras Michél alleges that his lawyer used an AI program called EyeLevel to draft a subpar closing argument in his recent conviction for conspiracy to defraud the U.S. government. Michél’s new legal team argues that the AI tool led to ineffective assistance of counsel. EyeLevel claims to be the first AI used…
Graph and geometric deep learning models have been successful in machine learning for drug discovery, specifically in modeling atomistic interactions, 3D/4D situations, activity and property prediction, and molecular production. However, the lack of large labeled datasets has limited progress. Researchers have created multitask datasets, developed the Graphium machine learning package, and demonstrated the benefits of…
MIT engineers have found that deep generative models (DGMs) used in AI can mimic existing designs but struggle to generate innovative solutions to engineering problems. The study showed that when DGMs were designed with engineering objectives in mind, they produced more innovative and higher-performing designs. The researchers concluded that AI models need to go beyond…