Edge Impulse, a company specializing in on-device machine learning and artificial intelligence, has developed a small and accurate heart rate measurement algorithm. It uses light-based sensors to provide precise heart rate and heart rate variability values, as well as diagnose atrial fibrillation, detect falls, monitor sleep, gauge stress, and recognize changes in activity levels. This…
Summary: Making mistakes as an analyst can be a common fear. It is important to develop strategies to minimize the risk of producing flawed outputs. Some strategies include setting a proper basis before starting an analysis, leveraging previous work to validate results, continuously sharing work-in-progress, and building an environment that minimizes errors. It is important…
This article presents a framework for versioning machine learning projects using Git branches. The framework aims to simplify workflows, organize data and models, and consolidate different aspects of the ML solution. It emphasizes the use of active branches for data, stable branches for training and inference, and coding branches for development. The goal is to…
MIT researchers have developed a machine-learning technique called Diffusion-CCSP that enables robots to efficiently solve complex packing problems. The technique uses a collection of machine-learning models, each representing a specific type of constraint, which are combined to generate global solutions. The method outperformed other techniques, generating a greater number of effective solutions. The researchers aim…
The University of Hong Kong, XLang Lab, Salesforce Research, Sea AI Lab, University of Washington, and MIT CSAIL have developed Lemur and Lemur-Chat, two state-of-the-art models for language agents. By combining natural language and coding abilities, Lemur and Lemur-Chat outperform other open-source models in agent benchmarks, bridging the gap between open-source and commercial alternatives. The…
Researchers propose Pairwise Proximal Policy Optimization (P3O), a new approach to Reinforcement Learning with Human Feedback (RLHF) that addresses the inconsistency between the reward learning and RL fine-tuning stages. By using a comparative training process, P3O improves alignment with human values and outperforms existing methods in terms of the KL-Reward frontier and GPT-4 win-rate. The…
Formal specifications, which use mathematical formulas to describe AI behavior, are not easily interpretable by humans, according to researchers at MIT Lincoln Laboratory. In an experiment, participants were asked to validate an AI agent’s plan for a virtual game based on formal specifications, and they were correct less than half of the time. The researchers…
The paper discusses the emergence of text-to-image diffusion models for image generation. It introduces “AlignProp,” a method to align diffusion models with reward functions through backpropagation during the denoising process. AlignProp outperforms alternative methods in optimizing diffusion models, achieving higher rewards in fewer training steps and improving both sampling efficiency and computational effectiveness. The approach…
The US government plans to implement additional sanctions to prevent American chipmakers from circumventing export restrictions on AI chips going to China. The upcoming regulations will close loopholes that allowed Chinese companies to obtain specialized AI chips through foreign distributors. The new measures will also prohibit the sale of advanced chipmaking machinery and semiconductors to…
Ancient scrolls from Herculaneum, buried for centuries, have started to reveal their secrets. Using AI technology, a computer science student and a data science graduate have made breakthroughs in deciphering the charred papyrus. They have identified the word “porphyras” using different AI techniques. The competition to understand the Herculaneum scrolls is heating up, thanks to…
Veriff is an identity verification platform partner for organizations in various industries. They use advanced technology, including AI-powered automation and human feedback, to verify user identities. Veriff standardized their model deployment workflow using Amazon SageMaker, reducing costs and development time. They use SageMaker multi-model endpoints and Triton Inference Server to manage and deploy ML models…
This text discusses the significance of the hidden costs of development. It emphasizes the importance of recognizing and considering these costs in order to ensure accurate decision-making and successful project outcomes.
Researchers have developed a new framework using sparse autoencoders to make neural network models more understandable. The framework identifies interpretable features within the models, addressing the challenge of interpretability at the individual neuron level. The researchers conducted extensive analyses and experiments to validate the effectiveness of their approach, and they believe it can enhance safety…
Researchers have developed a method called SweetDreamer to address the issue of geometric inconsistency in converting 2D images to 3D objects for text-to-3D generation. This method aligns 2D geometric priors with well-defined 3D shapes to ensure consistency from all viewpoints. The researchers achieved high success rates compared to other methods and believe their work will…
Discover the advantages and key factors to consider when selecting a vector database for your application.
Researchers from the Universities of Edinburgh and Sheffield are creating an artificial neural network inspired by ants to assist robots in identifying and recalling paths in intricate natural surroundings.
The latest research from Brown University reveals that using low-resource languages (LRL) like Zulu or Scots Gaelic can cause GPT-4, an AI model, to produce unsafe responses, despite its alignment guardrails. When prompted in these languages, GPT-4 was more likely to provide illicit advice, with rates as high as 53%. This highlights the need for…
Ai Bloks has introduced LLMWare, an open-source library for developing enterprise applications based on Large Language Models (LLMs). The framework provides a unified development environment, wide model and platform support, scalability, and examples for developers of all levels. LLMWare can be accessed via GitHub and installed as a Python library. It aims to streamline the…
The article discusses the suitability of Large Language Models (LLMs) for generating Infrastructure as Code (IaC) to provision, configure, and deploy modern applications. It explores the benefits of IaC solutions and the risks of vendor locking. It also explains the capabilities of LLMs, with a focus on text generation. The article then presents a use…
Companies are exploring ways to incorporate AI solutions into their business operations as the technology becomes more widespread and intricate. Selecting the appropriate RLHF platform in 2023 is crucial for leveraging AI effectively in their journey of implementation.