An article introduces a new pre-training strategy called Privacy-Preserving MAE-Align (PPMA) for action recognition models. It addresses privacy, ethics, and bias challenges by combining synthetic data and human-removed real data. PPMA improves the transferability of learned representations to diverse action recognition tasks and reduces the performance gap between models trained with and without human-centric data.…
Amazon is utilizing artificial intelligence (AI) to enhance the customer experience and expedite package deliveries, especially during the busy holiday season. With AI integrated into all aspects of its operations, Amazon’s Supply Chain Optimization Technology (SCOT) predicts demand, improves forecasting accuracy, and optimizes stock levels. AI-enabled robotics assist in sorting and handling packages, while AI-driven…
MIT researchers have developed a new approach, called StableRep, for training self-supervised methods using synthetic images generated by text-to-image models. By treating multiple images from the same text prompt as positive examples for each other, StableRep achieves superior performance in representation learning compared to state-of-the-art methods using real images. The results demonstrate the potential of…
This article discusses the concept of the adaptive linear neuron classifier, also known as adaline. Adaline is a binary classifier that uses a linear activation function for learning weights and a step function for making predictions. It explores the mathematical formulas and gradient descent optimization method used in adaline. The article also discusses the implementation…
Midjourney’s latest AI version, V5, is gaining attention for its ability to generate realistic images from text prompts. To enable V5 in Midjourney, follow these steps: 1) Open Midjourney on Discord and navigate to the “Newcomer Rooms” section, 2) Type the command “/settings” to access personal settings, 3) Select the V5 engine version to activate…
Slope TransFormer is a new solution developed to understand bank transactions. Traditional methods struggle with the variety of transaction forms, while existing solutions have limitations. TransFormer overcomes these challenges by being a Large Language Model (LLM) fine-tuned to extract meaning from transactions, achieving remarkable speed and accuracy. Its deployment in live credit monitoring dashboards is…
Anthropic has launched Claude 2.1, an AI model that addresses common issues. With a 200,000-token context window, it can recall information from extensive documents, reducing the risk of incorrect responses. The model also allows the use of external tools, broadening its applications. System prompts enable users to set specific contexts for consistent responses. While there…
Large multimodal models like LLaVA, MiniGPT4, mPLUG-Owl, and Qwen-VL have made rapid progress in handling and analyzing various types of data. However, there are obstacles to overcome, such as dealing with complex scenarios and the need for higher-quality training data. In response, researchers from Huazhong University of Science and Technology and Kingsoft have developed a…
LEO is a generalized agent developed by researchers at the Beijing Institute for General Artificial Intelligence, CMU, Peking University, and Tsinghua University. It is trained in an LLM-based architecture and is capable of perceiving, reasoning, planning, and acting in complex 3D environments. LEO incorporates 3D vision-language alignment and action, and has demonstrated proficiency in tasks…
The article on Towards Data Science explains the usage and benefits of typing.Literal, which allows for the creation of literal types. It highlights the power and versatility of this feature.
This article provides a guide on how to effectively use the cloud for all stages of the data science workflow. It offers valuable insights for implementing cloud technology in data science projects.
Researchers at Microsoft have proposed a deep learning compiler called Permutation Invariant Transformation (PIT) to optimize models for dynamic sparsity. PIT leverages a mathematically proven property to consolidate sparsely located micro-tiles into dense tiles without changing computation results. The solution accelerates dynamic sparsity computation by up to 5.9 times compared to state-of-the-art compilers and offers…
Researchers from McMaster University and FAIR Meta have developed a new machine learning technique called orbital-free density functional theory (OF-DFT) for accurately replicating electronic density in chemical systems. The method utilizes a normalizing flow ansatz to optimize the total energy function and solve complex problems. This approach shows promise for accurately describing electronic density and…
Lookahead decoding is a novel technique that improves the speed and efficiency of autoregressive decoding in large language models (LLMs) like GPT-4 and LLaMA. It eliminates the need for preliminary models and reduces the number of decoding steps by utilizing parallel processing. The technique has been shown to significantly decrease latency in LLM applications like…
UltraFastBERT, developed by researchers at ETH Zurich, is a modified version of BERT that achieves efficient language modeling with only 0.3% of its neurons during inference. The model utilizes fast feedforward networks (FFFs) and achieves significant speedups, with CPU and PyTorch implementations yielding 78x and 40x speedups respectively. The study suggests further acceleration through hybrid…
Amazon announces the expansion of its EC2 accelerated computing portfolio with three new instances powered by NVIDIA GPUs: P5e instances with H200 GPUs, G6 instances with L4 GPUs, and G6e instances with L40S GPUs. These instances provide powerful infrastructure for AI/ML, graphics, and HPC workloads, along with managed services like Amazon Bedrock, SageMaker, and Elastic…
A novel technique allows an AI agent to use data crowdsourced from nonexpert human users to learn and complete tasks through reinforcement learning. This approach trains the robot more efficiently and effectively compared to other methods.
Children in the UK are using AI image generators to create indecent images of other children, according to the UK Safer Internet Centre (UKSIC). The charity has highlighted the need for immediate action to prevent the problem from spreading. The creation, possession, and distribution of such images is illegal in the UK, regardless of whether…
Merriam-Webster has chosen “authentic” as its Word of the Year for 2023 due to its increased relevance in the face of fake content and deep fakes. The word has multiple meanings, including being genuine and conforming to fact. This decision reflects the current crisis of authenticity in a world where trust is challenged by the…
Amazon SageMaker has released a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs) with support for NVIDIA’s TensorRT-LLM Library. This upgrade provides improved performance and efficiency for large language models (LLMs) on SageMaker. The new LMI DLCs offer features such as continuous batching support, efficient inference collective operations, and quantization techniques.…