scalable

Empowering business through data-driven decision-makingPhoto by Igor Omilaev on UnsplashOver the last four years, I had the golden opportunity to lead the strategy, design, and implementation of global-scale big data and AI platforms across not one but two public cloud platforms — AWS and GCP. Furthermore, my team operationalized 70+ data science/machine learning (DSML) use cases and 10 digital applications, contributing to ~$100M+ in revenue growth.The journey was full of exciting challenges and a few steep learning…

The complex molecular structure of spider silk has been successfully copied as scientists spin silk from an artificial gland that mimics nature’s process of producing one of the world’s toughest fibers. Scientists believe this breakthrough is a huge step towards finally being able to produce the highly adaptable and sought-after material that has widespread real-world uses.Researchers from Japan’s RIKEN Center for Sustainable Resource Science andf RIKEN Cluster for Pioneering Research achieved the feat by taking a new…

Aurora is also working with Continental’ engineering team to provide an industrialized fallback system that is expected to go into production in 2027.New Delhi: Continental and Aurora Innovation said that they have crossed a key development milestone to commercialize autonomous trucks at scale. The companies have finalised the design and architecture of the future fallback system and hardware of the Aurora Driver – an SAE (Society of Automotive Engineers) Level 4…

Too Long; Didn't ReadThis article provides an overview of Cassandra, a highly scalable and distributed wide-column database. Cassandra is designed to prioritize availability and partition tolerance, making it suitable for applications where consistency is not a critical requirement. It supports high throughput and faster write operations. Too Long; Didn't ReadThis article provides an overview of Cassandra, a highly scalable and distributed wide-column database. Cassandra is designed to prioritize availability and…

An interdisciplinary and international team assembled at CSHL's Banbury Center to address the challenges of short STEM training programs. The meeting was titled "Making Career-spanning Learning in the Life Sciences Inclusive and Effective for All." Credit: Banbury Center/CSHL Success in science, technology, engineering, and mathematics (STEM) demands keeping up with the latest tools and techniques. The AI boom, for example,…

LEVC has been making and selling an electrified versions of the UK capital's iconic black cab for a few years now, not just in London but all around the world. Now, with development help from Geely, the company is moving beyond electric taxis with the launch a new flexible EV platform.Earlier this year, the London Electric Vehicle Company revealed that its TX model is now the most common black cab in London, with more than 6,000 vehicles operating in the city and globally clocking up over 534 million miles.The company…

Using SageMaker Managed Warm PoolsPhoto by SpaceX on Unsplash.This article shares a recipe to speeding up to 60% your hyperparameter tuning with cross-validation in SageMaker Pipelines leveraging SageMaker Managed Warm Pools. By using Warm Pools, the runtime of a Tuning step with 120 sequential jobs is reduced from 10h to 4h.Improving and evaluating the performance of a machine learning model often requires a variety of ingredients. Hyperparameter tuning and cross-validation are 2 such ingredients. The first finds the…

Creating a scalable search architecture is a popular and important task for many systems. There are different solutions for this task. Choosing the right one depends on the requirements of your project. Sometimes, as a project grows and its requirements change, you may run into new problems that you cannot solve with the search architecture you are using. For example, when increasing the amount of data, including synonyms in the search, adding multilingual search, etc. In this case, you need to think about creating a new,…

Learn how to deploy ML models in Kubernetes clusters and to implement autoscaling for our deployment with HPA and KEDAPhoto by Adam Kool on UnsplashIn most ML applications, deploying trained models to production is a crucial stage. It’s where the models demonstrate their values by giving predictions for customers or other systems.Deploying a model can be as simple as implementing a Flask server and then exporting its endpoints for users to call. Yet, It’s not easy to build a system that can robustly and reliably serve a…

FP StaffJan 14, 2023 19:23:08 ISTIntel has finally launched its 4th Gen Xeon Scalable processor (code-named Sapphire Rapids). At this week’s launch event, Intel described the new Xeon as one of its most significant product launches to date. The new Intel Xeon CPU Max Series, also known as Sapphire Rapids HBM, was introduced at the event. It is an x86-based processor with high bandwidth memory that is intended to boost HPC applications without requiring modifications. Additionally, Intel unveiled its Data Center GPU Max…