The newly announced OpenAI Startup Fund is investing $100 million to partner with a small number of early-stage startups that are involved in fields that have a lot of potential for AI like health care, climate change and education. The companies in the fund will also get early access to future OpenAI systems, support from … continue reading
Digital.ai today announced a new AI-powered end-to-end solution for bridging the gap between software delivery and business outcomes. The new Digital.ai Platform is meant to be a next-generation intelligent value stream solution that accelerates value, increases efficiency and reduces risks for enterprises. The company explained adding AI into the new solution will help teams find and … continue reading
In an effort to make code easier to debug, maintain and update, IBM has unveiled Project CodeNet, an open-source dataset for advancing AI’s understanding and translation of code. The project was announced at this week’s Think conference as a part of IBM’s AI for Code initiative, which aims to help developers improve productivity by automating … continue reading
LogDNA announced a new browser logging capability designed to enable full-stack and front-end developers to ingest frontend log data into LogDNA more efficiently to debug web applications. The new feature automatically captures errors and logs occurring in the user’s browser and allows dev teams to centralize those errors alongside server-side logs, according to the company. … continue reading
The COVID-19 pandemic has led teams to focus on embracing DevOps technologies such as Kubernetes, ML/AI and cloud computing, and as a result, 84% of developers say they’re releasing code faster than ever before. That was one of the key findings in GitLab’s fifth annual DevSecOps survey, which this February asked 4,300 DevOps team members … continue reading
CodeLogic announced a new automated approach that enables developers to quickly generate a centralized, living map of complex system architectures such as ServiceNow, RedHat and Linux. Developers can then use this to determine how to handle code refactoring and rewrites, and safely explore new features, according to the company. The new solution enables developers to … continue reading
Redis Labs announced that it is adding stronger consistency, integrated data models, low sub-millisecond latency for a globally deployed database and artificial intelligence to further Redis as a real-time data platform. RedisRaft will be available in Redis 7.0 and will enable Redis to be deployed and run in a strongly consistent fashion, according to the … continue reading
The development team behind Android said that it no longer recommends RenderScript as the optimal way to run computationally-intensive code on the GPU or CPU without having to make use of the NDK or GPU-specific APIs and will deprecate the feature in Android 12. Instead, developers will have access to an open-source library that contains … continue reading
NVIDIA announced its application framework for building conversational AI services is now available. The new NVIDIA Jarvis framework comes with pre-trained deep learning models and software tools to help developers create conversational AI services that can be easily deployed from the cloud or at the edge. According to the company, it offers automatic speech recognition … continue reading
Appvance is the inventor of AI-driven autonomous testing, which is revolutionizing the $120B software QA industry. The company’s patented platform, Appvance IQ, can generate its own tests, surfacing critical bugs in minutes with limited human involvement in web and mobile applications. AIQ empowers enterprises to improve the quality, performance and security of their most critical … continue reading
Kevin Surace, co-founder and CTO of Appvance Appvance makes a platform called Appvance IQ, or AIQ for short. The platform is all-encompassing – web, API and native mobile, functional, compatibility, performance, load, security tests. It becomes a centerpiece of your quality initiative. We break test creation into two buckets. Low code/no code ML-driven Test Designer … continue reading
As the software development industry has seen unprecedented levels of digital transformation, the demand for automated testing in the CI/CD pipeline has taken on greater urgency, especially at the early stages. Also, new advancements in AI are helping developers with some of the biggest challenges in testing: test creation, maintenance and many of the manual … continue reading
