Category: Semiconductors and Components

Launchable has emerged from stealth mode to introduce its AI-driven software test automation solution. This is exciting news for the DevOps community, as key industry figures—most notably, the Jenkins CI/CD automation server’s creator—have essentially validated that AI-driven test automation is coming big time into every software development shop. In a CI/CD context, Launchable’s adaptive AI can drive automated testing of source code changes upon check-in as well as notification of development and operations personnel when the tests fail. It can ensure that developers never have to wait more than a few minutes for feedback on their latest code changes. It can also help testers to keep pace with the growing volume, velocity, and variety of code changes, so that the most relevant changes can be tested 24x7. The challenge for Launchable is how quickly the company can gain traction in the developer community before incumbent startups in this promising niche solidify their first-mover advantage. Here are thoughts on how the company should move forward so as to quickly take advantage of this opportunity.
Microsoft's second quarter for FY 2020 saw the company's momentum continue as Cloud, Productivity and personal computing all show growth.
AMD wrapped up its fiscal year with an earnings beat and a 4% revenue growth. The client business saw huge growth, but the enterprise business stalled. A look at the numbers.
Intel outperformed in the 4th quarter of its fiscal year with big revenue beats on data center and a surprise performance in Client Compute. Analyzing Q4.
AMD has made a few runs into mobile in the past, each ending badly. However, this time feels different as the company launches its new Mobile Chips.
An in depth look at Cisco's Internet for the Future strategy, its new SiliconOne and how the company can scall OTT and Service Providers in 2020 and beyond.
Intel annoucned a SoC control chip code name Horse Ridge to establish its place in helping the industry build superconducting Quantum Computers.
NVIDIA continues to flex its technical muscle in Artificial Intelligence (AI) to seize new opportunities in the fast-growing chipset market. Long known as the powerhouse of AI “training” solutions, the company has recently been pushing into the adjacent—and potentially much larger—market for AI “inferencing” products. What does that mean for the future of the AI wars? Let’s take a look.
This week at the AI Hardware Summit, Qualcomm demonstrated its Cloud AI 100 inference chip that will be available in 2020. Analyzing this weeks introduction.