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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Monitor model performance with Superwise's offering in the Datadog Marketplace

Superwise is a monitoring platform that provides model observability for high-scale machine learning (ML) operations. Superwise provides teams with out-of-the-box (OOTB) metrics on their models’ production behavior, so they can effectively address drift, data quality issues, and other problems before they negatively impact business.

The Future Is Smart: Cloud Native + AI

Leading organizations around the world are adopting cloud-native technologies to build next-generation products because cloud native gives them the agility that they need to stay ahead of their competition. Although cloud native and Kubernetes are very disruptive technologies, there is another technology that is probably the most disruptive technology of our generation, and that is artificial intelligence (AI) and its subset, machine learning (ML).

Efforts to Secure OSS fired up after Log4Shell

Who would have thought software could rattle the White House? But a vulnerability in Log4J, a popular open source software project, exposed critical digital infrastructure to remote code execution attacks. This prompted the US Government to engage big tech, infosec professionals, and open source organizations to come together to help secure open source software.

Millions of IoT devices and routers could have a mega security flaw

An unpatched vulnerability in a popular C standard library found in a wide range of IoT products and routers could put millions of devices at risk of attack. The vulnerability, tracked as CVE-2022-05-02 and discovered by Nozomi Networks, is present in the domain name system (DNS) component of the library uClibc and its uClibc-ng fork from the OpenWRT team.

Python MQTT Tutorial: Store IoT Metrics with InfluxDB

MQTT is a standard messaging protocol used for the Internet of Things (IoT) because it requires minimal resources and can be executed by small microcontrollers found in connected devices. IoT devices have a real need for this type of lightweight protocol because it guarantees fast and reliable communication with minimal hardware requirements, keeping power consumption and manufacturing costs low.

An Easy Guide To Understanding App Development

If you're reading this, there's a good chance you're interested in learning about app development. Maybe you want to create an app for your business, or maybe you just want to learn more about the process so you can better understand what goes into making an app. Either way, you've come to the right place! In this blog post, we will provide a basic overview of the app development process - from start to finish. We'll also discuss some of the most important things to keep in mind when creating an app. So without further ado, let's get started!

Monitor Flutter application performance with Datadog Mobile RUM

Flutter is a popular open source framework that allows you to build, test, and deploy high-performance, multi-platform applications with a single codebase. Developed by Google, Flutter is backed by a robust developer community and is compatible with the latest native functionalities, including iOS Metal.

Wind River Studio Enabling Hyundai Mobis and Hyundai AutoEver to Accelerate Development of Next-Gen Intelligent and Connected Vehicles

Wind River announces that Hyundai Mobis, one of the world's largest vehicle technology innovators and suppliers, and Hyundai AutoEver has signed an agreement to establish a strategic relationship that includes collaboration with Wind River Studio for the development of an automotive software framework and continuous test and test automation capabilities, as well as advanced software lifecycle management.

Machine learning tool to speed up treatment of traumatic brain injury

A team of data scientists from the University of Pittsburgh School of Medicine in the US, and neurotrauma surgeons from the University of Pittsburgh Medical Centre, has developed the first automated brain scans and machine-learning techniques to inform outcomes for patients who have severe traumatic brain injuries. The advanced machine-learning algorithm can analyse vast volumes of data from brain scans and relevant clinical data from patients.