The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. This means that individuals can ask companies to erase their personal data from their systems and from the systems of any third parties with whom the data was shared. Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide ..read more

In today’s data-driven world, industries across various sectors are accumulating massive amounts of video data through cameras installed in their warehouses, clinics, roads, metro stations, stores, factories, or even private facilities. This video data holds immense potential for analysis and monitoring of incidents that may occur in these locations. From fire hazards to broken equipment, theft, or accidents, the ability to analyze and understand this video data can lead to significant improvements in safety, efficiency, and profitability for businesses and individuals. This data allows for th ..read more

In the aftermath of the pandemic, the business environment has pushed manufacturers to evaluate (or reevaluate) automation. Manual, repetitive tasks – such as pallet stacking – are considered a logical initial focus. However, feedback from individuals attempting to find solutions remains consistent: the fragmented palletizing automation market makes navigating information challenging and time-consuming. This is why more businesses are using the Automated Palletizing Buyer’s Guide. Here is what we know: Time is finite – Technical specialists have limited bandwidth for exploring improvement op ..read more

When playing golf, few things are as important as using the correct form when swinging, since even small deviations can be the difference between a hole-in-one and additional strokes. To improve his game, Concept Bytes has designed a small clip-on device called the “Club Master.” With it, he can get a live display of various data points which help track power, distance, and acceleration. Collecting and processing all of this data is an Arduino Nano RP2040 Connect due to its fast microcontroller, BLE connectivity, and onboard six-axis IMU, which meant an external accelerometer ..read more

Today, we are excited to announce that the first model in the next generation Falcon 2 family, the Falcon 2 11B foundation model (FM) from Technology Innovation Institute (TII), is available through Amazon SageMaker JumpStart to deploy and run inference. Falcon 2 11B is a trained dense decoder model on a 5.5 trillion token dataset and supports multiple languages. The Falcon 2 11B model is available on SageMaker JumpStart, a machine learning (ML) hub that provides access to built-in algorithms, FMs, and pre-built ML solutions that you can deploy quickly and get started with ML faster. In this p ..read more

This post is co-written with Murthy Palla and Madesh Subbanna from Vitech. Vitech is a global provider of cloud-centered benefit and investment administration software. Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluen ..read more

Genomic language models are a new and exciting field in the application of large language models to challenges in genomics. In this blog post and open source project, we show you how you can pre-train a genomics language model, HyenaDNA, using your genomic data in the AWS Cloud. Here, we use AWS HealthOmics storage as a convenient and cost-effective omic data store and Amazon Sagemaker as a fully managed machine learning (ML) service to train and deploy the model. Genomic language models Genomic language models represent a new approach in the field of genomics, offering a way to understand the ..read more

The new SparkFun Optical Tracking Odometry Sensor is here with a slew of other new products, including two from our friends at FGSensors. Favorited Favorite 0 Hello everyone and welcome back to another big Friday Product Post here at SparkFun Electronics! This week we have a whole set of new products for you to check out and it all starts with the new SparkFun Optical Tracking Odometry Sensor! This standard-sized Qwiic Sensor is ideal for those of you looking for a new way to to control your favorite robotics platform (in our case, it’s the XRP Kit) navigation capabilities with exceptional ..read more

In this episode of Chalk Talk, Amelia Dalton, Mark Grierson from Digi, and Rob (our Rob) explore how Digi and SparkFun are working together to make cellular connected IoT design easier than ever before. by Chowdah May 30, 2024 5:50 pm UTC 0 Favorited Favorite 0 In this episode of Chalk Talk, Amelia Dalton, Mark Grierson from Digi, and Rob (our Rob) explore how Digi and SparkFun are working together to make cellular connected IoT design easier than ever before. They investigate the benefits that the Digi Remote Manager® brings to IoT design, the details of the SparkFun Digi XBee Development ..read more

Llama is Meta AI’s large language model (LLM), with variants ranging from 7 billion to 70 billion parameters. Llama uses a transformers-based decoder-only model architecture, which specializes at language token generation. To train a model from scratch, a dataset containing trillions of tokens is required. The Llama family is one of the most popular LLMs. However, training Llama models can be technically challenging, prolonged, and costly. In this post, we show you how to accelerate the full pre-training of LLM models by scaling up to 128 trn1.32xlarge nodes, using a Llama 2-7B model as an exa ..read more