Blockchain-led Software Development is the Way to Go

whitePaper | September 19, 2022

The field of artificial intelligence (AI) traces back to the 1950s. More recently, the increased availability of both data and computing power has bolstered rapid adoption of AI and machine learning (ML) solutions (collectively, AI/ML)

whitePaper | January 4, 2022

When people hear AI they often think about sentient robots and magic boxes. AI today is much more mundane and simple—but that doesn’t mean it’s not powerful. Another misconception is that high-profile research projects can be applied directly to any business situation. AI done right can create extreme return on investments (ROIs)—for instance through automation or precise prediction. But it does take thought, time and proper implementation. We have seen that success and value generated by AI projects is increased when there is a grounded understanding and expectation of what the technology can deliver from the C-suite down.

whitePaper | February 16, 2023

Artificial Intelligence (AI) is answer to challenges that telecoms must face in a time of rapidly changing market requirements, but it is not easy to adapt immediately. Many requirements can be solved by experienced experts. Unfortunately, access to their knowledge is increasingly limited, their education is usually expensive, there are not enough of them, and they are not always able to respond with sufficient speed.

whitePaper | August 16, 2020

Unleash the full potential of your cloud native transformation and accelerate innovation with the confidence that your cloud native applications are secured from start to finish, at any scale. Aqua Platform protects your entire stack, on any cloud, across VMs, containers, and serverless. Accelerate development by detecting security issues in your artifacts early and shortening time to remediate. «Shift left» security into the CI/CD pipeline, get full visibility into the security posture of your pipeline and reduce the attack surface before application deployment.

whitePaper | September 22, 2022

Last year, the UK Department of Digital, Culture, Media and Sport (DCMS) published its 10- year National AI Strategy for the regulation and promotion of artificial intelligence (AI) in the UK (Report). DCMS seeks to build “the most pro-innovation regulatory environment in the world” and vows to make the UK the “best place to live and work with AI” over the next decade. Since then, the UK government and regulators have taken various steps towards this aim, with the Report anticipating a large number of AI-centric publications and consultations. Some key examples (and their latest status) are summarised below, including a policy paper and white paper on a pro-innovation national position on governing and regulating AI, an Information Commissioner’s Office (ICO) consultation on the beta version of its AI and data protection risk toolkit, and a consultation on copyright and patents for AI through the UK Intellectual Property Office (IPO).

whitePaper | March 30, 2022

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) offers the following submission for consideration in response to the Request for Information(RFI) by the White House Office of Science and Technology to the Update of the National Artificial Intelligence Research and Development Strategic Plan.