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 new Davis Security Advisor automatically contextualizes and prioritizes application vulnerabilities to reduce enterprise risk by empowering DevSecOps teams to make more informed real-time decisions. Davis automatically monitors all software libraries in preproduction and production and removes false positives. It then aggregates vulnerability data and prioritizes remediation tactics. “Manual processes and piecemeal solutions that don’t … continue reading
NVIDIA announced that it is acquiring DeepMap, a startup that builds HD maps for autonomous vehicles to navigate. DeepMap’s technology will bolster the mapping and localization capabilities of NVIDIA DRIVE after the acquisition is expected to close in third calendar quarter of 2021. “The acquisition is an endorsement of DeepMap’s unique vision, technology and people,” … continue reading
Lightbend has announced the launch of Akka Serverless, a cloud-native development platform-as-a-service that enables the creation of cloud-native apps using any programming language and eliminates the need for databases in deploying business-critical apps. Akka has a simple, API-driven programming model that makes it easy for developers to define the data that they need so that … continue reading
AWS, DeepLearning.AI and Coursera announced the launch of Practical Data Science, three-part series of hands-on courses designed for data professionals to learn the essentials of machine learning. The courses delve into how to use state-of-the art algorithms for natural language processing and natural language understanding using Amazon SageMaker and Hugging Face’s optimization of the BERT … continue reading
The developers behind the Go programming language announced that native fuzzing is ready for beta testing in its development branch, dev.fuzz. Fuzzing is a type of automated testing that continuously manipulates inputs into a program to find issues such as panics or bugs that existing unit tests might miss. RELATED CONTENT: Why developers love Go … 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
Amazon Redshift ML is now generally available. The cloud data warehouse enables users to create machine learning models and make predictions from data directly from their Amazon Redshift cluster. Users just have to use a simple SQL query to specify what data they want to use to train their model as well as the output … continue reading
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