When it comes to artificial intelligence and applying it to software development, it’s hard to discern between the hype and the reality of what can be done with it today. The presentation of AI in movies makes the technology seem scary and that in the not-too-distant future humans will be slaves to the machines. But … continue reading
In 2023, AI technologies made their way through the hype cycle. Companies researched it, maybe experimented with it, or at the very least, certainly spent a lot of time talking about it. In 2024, it will be time to actually take the lessons learned from those experiments and begin implementing these technologies in real ways, … continue reading
Facebook announced PyTorch will become the company’s default AI framework at its developer conference F8 Refresh this week. PyTorch is an open-source machine learning framework that the company co-created with AI researchers in 2016. By making PyTorch the default framework for all of its AI and machine learning models, the company believes its research and … 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
Google is making a number of improvements and updates across its cloud, security, AI and Android platforms at its virtual Google I/O conference this week. Top announcements included: The beta version of Android 12 Android 12 features a more personal experience, fluid motions and animations, redesigned system spaces, and new privacy features. “Android 12 builds … 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
There are many buzzwords in the software development industry, but AI in testing is proving to be more than just a marketing term. According to this year’s World Quality Report sponsored by Micro Focus, Capgemini, and Sogeti, 86% of respondents said that AI is a key criterion for selecting new QA solutions. In a webinar … continue reading
The move AI 2.0 is being driven by five areas of AI advancement, according to a new report from analyst firm Forrester. “Though you’ve likely never heard of them, these AI 2.0 advances are already entering commercial products, and forward-looking enterprises need to start preparing if they want to reap their competitive advantages,” the report … continue reading
The benefits of machine learning (ML) are becoming increasingly clear in virtually all fields of research and business. There is an increasing array of tools that are becoming available to help people move in the right direction – though hang-ups can, and do exist, this guide strives to allow practitioners to find their footing on … continue reading
Microsoft has revealed it is teaming up with OpenAI to exclusively license GPT-3. According to the company, this will further Microsoft’s goals to develop and deliver advanced AI solutions for customers, as well as create new solutions that harness the power of advanced natural language generation. GPT-3 is an autoregressive language model that outputs human-like … continue reading
Snyk is looking to bolster its security platform with the acquisition of DeepCode, a provider of real-time semantic code analysis. Through its AI-powered platform, DeepCode is able to assist developers with app quality and security. According to Snyk, the addition of DeepCode will add to its existing open-source security, container security and infrastructure as code … continue reading
Artificial intelligence (AI) is a broad field that spans academic research with ambitions to create an artificial human brain (general AI) through to practical applications of deep learning (DL), a branch of machine learning (ML, itself the part of AI concerned with learning systems built on data rather than prepared rules). DL has many real-world … continue reading
