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.
The National Oceanic and Atmospheric Administration (NOAA) announced that it is ramping up its computing power with two new Cray supercomputers in Virginia and Arizona, each with 12 petaflops of capacity, bringing NOAA’s total power up to 40 petaflops. These computers will unlock new possibilities for better forecast model guidance through higher-resolution and more comprehensive … continue reading
DeepCode, the platform for AI-powered code reviews, has announced support for C/C++. “C and C++ are dominant in the realm of software that is close to the hardware, such as operating systems or software with high performance or even real-time aspects,” the DeepCode AI team wrote in a post. Additionally, DeepCode engineer Jan Eberhardt stated: … continue reading
As organizations wake up to the multitude of ways advanced technologies can augment their businesses, developers with relevant skills are becoming ever more valuable. Data is the key to a whole kingdom of opportunity, and when combined with AI and machine learning tools, the bounds of this kingdom are practically limitless. Even for those without … continue reading
Google launched the beta of Cloud AI Platform Pipelines, which combines repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility. It aims to deliver an enterprise-ready, easy to install, secure execution environment for ML workflows. AI Platform Pipelines were created because machine learning workflows can involve many steps with dependencies on each … continue reading
The story of Moore’s Law describes well how computing hardware has evolved and grown in performance over the life of modern computing and how in the current era the pace of that law has saturated. The switch from single to multi-core CPUs has helped keep the curve from going completely flat, but what is creating … continue reading
Machine learning (ML) and other artificial intelligence (AI) technologies are powerful tools with the potential to transform a wide range of processes for both consumers and companies. Though many of these technologies are still commercially nascent, a number of startups have emerged that provide ML-based software solutions to enterprises. We believe that these “enterprise AI … continue reading
Previous methods of identity verification aren’t as efficient today when there is so much more data in circulation. Augmented intelligence has entered the arena to provide much more accurate solutions for ID verification. Previous methods just required basic information of where someone lives and the applications would then just check a database. One company called … continue reading
Augmented intelligence is growing as an approach to artificial intelligence, in a way that helps humans complete tasks faster, rather than being replaced by machines entirely. In an IBM report called “AI in 2020: From Experimentation to Adoption,” 45% of respondents from large companies said they have adopted AI, while 29% of small and medium-sized … continue reading
The release of Babylon.js 4.1 includes performance optimizations, a new Node Material Editor that offers a cross-platform development experience with Babylon Native, Cascaded Shadows, Navigation Mesh, updated WebXR and gITF support. The new Node Material Editor removes the complexity of writing GPU programs without sacrificing power. Now developers can simply connect nodes together, according to … continue reading
Parasoft introduced the new release of its C/C++test solution this week at Embedded World. The solution is a unified C and C++ development testing solution for real-time safety- and security- critical embedded applications and enterprise IT. “With the new release of C/C++test, we are bringing unique AI and ML capabilities to help organizations with the … continue reading
Microsoft has announced the general availability of its cybersecurity solution. Microsoft Threat Protection (MTP) is designed to provide security checks across users, emails, applications, and endpoints. The solution alerts users and takes action using AI so that security professionals can automatically detect, investigate, and stop coordinated multi-point attacks, Microsoft explained In addition, it weeds out … continue reading
Automation Anywhere announced an new integrated AI-driven process discovery solution that discovers business processes and creates bots to automate them. The Discovery Bot uses AI and machine learning to prioritize automation opportunities by potential return on investment (ROI) and develop RPA bots – accelerating the process automation journey for organizations, the company explained. In addition, … continue reading