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.
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
The relentless demands of digital transformation initiatives mean that application development (AD) teams have to find ways to increase their productivity. Artificial intelligence (AI) and machine learning (ML) are now good options to augment AD teams and increase their output. We predict that, by 2022, at least 40 percent of new AD projects will have … continue reading
Due to the rise of deep learning and therefore its complexity, Microsoft is open-sourcing TensorWatch, its AI debugging and visualization tool that it calls the “Swiss Army knife of debugging tools.” The tool works in Jupyter Notebook, which forfeits the need of using a separate script, according to the company. It shows real-time visualization of … continue reading
OutSystems added new artificial intelligence and machine learning capabilities to its low-code development platform. According to the company, the new capabilities will enable organizations to implement automation in creating self-service portals and responding to text and voice queries, adding voice-capable functionality for virtual assistants such as Alexa and Siri as well as chatbots. RELATED CONTENT: … continue reading
In an effort to democratize and advance the field of artificial intelligence, MIT researchers have announced a new programming language designed for computer vision, robotics, statistics and more. Gen aims to take away the complexity of equations or having to manually write code and enable researchers of all skill levels to create models and algorithms … continue reading
Machine learning (ML) implementations in developer tools have been on the rise, prompting a consortium of some of the largest companies including Google, Facebook, Microsoft as well as a handful of universities to launch ML inference benchmarks. The MLPerf Inference v0.5 will be used to measure system performance and power efficiency of AI apps. The … continue reading
Facebook wants to accelerate AI robotics research with the open source release of PyRobot. According to the company, the project is designed as a framework and ecosystem that enables AI researchers and students to mobilize a robot in just a few hours, without specialized knowledge of the hardware or details such as device drivers, control … continue reading
As businesses increasingly move their operations to the cloud, they’re recognizing the potential to harness the almost limitless compute power available and tap into artificial intelligence and machine learning technologies to deliver insights and value to the business that were previously beyond their reach. Businesses have never been in a better position to create value … continue reading
Qualcomm had a coming-out party for their new AI technology that includes a series of new smart Snapdragon parts with built-in AI capability for smartphones and connected devices. They also surprised with the announcement of their Cloud AI 100 simulator. Both of these things are interesting by themselves but, together, they have the potential to … continue reading
Databricks has announced its open-source machine learning platform MLflow has reached 1.0. MLflow was announced last year as a way to help data scientists track and share experiments and models. Since then, the project has grown to more than 100 contributors with its PyPl package download rate reaching about 600K a month, the company explained. … continue reading