Up until the last 10 years or so, artificial intelligence was the stuff of science fiction: machines that could learn from a variety of interactions to make decisions and take actions that would normally require a human to execute. Because of that science fiction, there are those who fear AI as the beginning of the rise of intelligent robots. So, ethical development of AI has become an important issue in the IT community.
Artificial intelligence is having a big impact on application development. Today, we see AI in many different computing environments. It is also popping up in customer service call centers, in dialog boxes on websites, in the Industrial Internet of Things, as well as in our children’s toys, our homes and businesses. When coupled with automated processes, machines can take over many of the more mundane tasks businesses have to complete on a daily basis.
Of course, applications of AI are much broader and more sophisticated. AI can be found in automotive controls, such as applying the brake when your car is quickly approaching the one ahead. It’s found in data analytics, processing and management, where AI can learn to spot anomalies in data and trigger alerts and actions to remediate the issue.
AdaCore announced the start of its 4th annual “Make with Ada programming competition” with the goal to design and implement an embedded software project in which Ada or SPARK are the primary languages used. “Many programmers tend to discount Ada and SPARK because of the many myths surrounding Ada, including Ada is too complex to … continue reading
DeepCode is bringing its AI-powered code review capabilities to Visual Studio Code. The company announced an open-source extension that will enable developers to use DeepCode to detect bugs and issues in Visual Studio Code. RELATED CONTENT: Artificially intelligent “co-developers” Be (AI) smarter about your digital transformation New AI platform tackles ten steps of AutoML DeepCode … continue reading
“Successful digital transformation is like a caterpillar turning into a butterfly. It’s still the same organism, but it now has superpowers.” George Westerman, principal research scientist at the MIT Initiative on the Digital Economy, first used the now popular analogy two years ago to explain the changes businesses were going through. But, over the last … continue reading
A new artificial intelligence platform wants to automate the machine learning process for data scientists and developers from data to impact. AI company Aible announced Aible Advanced, an AutoML solution designed to generate predictive models for businesses. According to the company, legacy AutoML solutions don’t provide proper access for both developers and data scientists, and … continue reading
Artificial intelligence researchers want to advance natural language processing with the release of SuperGLUE. SuperGLUE builds off of the previous General Language Understanding Evaluation (GLUE) benchmark, but aims to provide more difficult language understanding tasks and a new public leaderboard. SuperGLUE was developed by AI researchers from Facebook AI, Google DeepMind, New York University and … continue reading
Quick Base announced that it acquired cloud-based integration and automation platform Cloudpipes to provide an enterprise platform for low-code development, integration and workflow automation. The new features that come with the integration include a UI builder, 150 pre-built connections to SaaS applications such as Salesforce, Google, OneDrive and Slack. “Our customers will now have a … continue reading
IBM is releasing a new open-source project designed to help users understand how machine learning models make predictions as well as advance the responsibility and trustworthiness of AI. IBM’s AI Explainability 360 project is an open-source toolkit of algorithms that support the interoperability and explainability of machine learning models. According to the company, machine learning … continue reading
AI use is growing rapidly. As with most “new” technologies, organizations are focusing on all the potential opportunities without giving equal weight to the potential risks. While it seems that just about everyone is talking about AI, less discussed, but growing in volume and frequency, is AI ethics which questions whether categories of AI systems … continue reading
Despite the promises of artificial intelligence, companies are still trying to figure out how to stabilize and scale their AI initiatives. A newly released report revealed while 63.2 percent of businesses are investing between $500,000 and $10 million on AI efforts, 60.6 percent of respondents continue to experience a variety of operational challenges. According to … continue reading
OpenAI and Microsoft are partnering to accelerate breakthroughs in AI in Azure and help developers build the next generation of AI applications. The companies said they are focusing on building a computational platform in Azure, which will train and run increasingly advanced AI models, including hardware technologies that build on Microsoft’s supercomputing technology. “AI is … continue reading
Low-code and no-code tool provider Mendix introduced Mendix Studio: an IDE called Studio Pro, and Mendix Assist: an AI tool for building low-code apps, all included in the Summer 2019 release of the platform. The company explained that the new release was designed to greatly expand the number of people who can fully participate in … continue reading
About two-thirds of companies are emphasizing an “AI First” culture to take advantage of the many benefits that it offers, yet few can boast that they have obtained enterprise-wide success in implementing the technology. A recent report by the International Data Corporation (IDC) said that only a quarter of companies worldwide have an enterprise-wide AI … continue reading