Data science

Data science

Smart energy management just took a step closer to becoming simpler. This week, the organizations behind Matter, the smart-home interoperability standard, and the OpenADR protocol, which sends signals between the grid and the home, announced an agreement to work together. This should make it easier for connected appliances to participate in demand response programs (DR) and, hopefully, save you money.

Deploying a massive, fully precise 16-bit neural network into production often requires renting top-tier cloud instances that destroy an application's profit margins. Applying algorithmic pruning removes mathematically redundant weights, while quantization compresses the remaining parameters from 16-bit floating points down to 8-bit or 4-bit integers. For instance, if a retail enterprise deploys a customer service chatbot, quantizing the model allows it to run on significantly cheaper, lower-memory GPUs without any noticeable drop in conversational quality.

Our results show that testing computer networks with automatically generated digital twins can achieve high accuracy and significantly faster speeds than traditional simulator-based testing.

The case for a warehouse-native CDP starts with control and data centralization. In this model, the data warehouse becomes the single source of truth, with tools layered on top for identity resolution, segmentation and activation.

The study found that only 3.14% of Polymarket accounts qualified as skilled winners, who consistently earned profits that held up out of sample, trading across an average of 79 markets each.

You make a small change to your table, adding a single row, and it affects data lake performance because, due to the way they work, a new file has to be written that contains one row, and then a bunch of metadata has to be written. This is very inefficient, because formats like Parquet really don't want to store a single row, they want to store a million rows.

Ancient DNA has transformed our understanding of population history, but its potential to reveal insights about human evolutionary biology has not been fully realized due to limited sample sizes and challenges in distinguishing between different types of selection.

Project PLATEAU, led by Japan's Ministry of Land, Infrastructure, Transport and Tourism, aims to develop and expand access to 3D models representing the diversity of cities across the country, enhancing urban resilience and addressing local challenges.