Author: Admin
The rapid adoption of AI coding assistants has introduced a new and pressing challenge for the software industry: ensuring the security of AI-generated code. Harness, a software delivery platform provider, is tackling this today with two significant product announcements aimed at securing the entire Software Development Life Cycle (SDLC), from the moment code is written to its operation in production. Securing the Inner Loop: AI-Powered Code Security The first announcement, the Secure AI Coding solution, focuses on integrating security directly into the AI coding experience, or what the company refers to as the “inner loop” of the SDLC. Recent data,…
Product backlog refinement is one of the most misunderstood practices in Scrum. Teams either underinvest in it and suffer through painful Sprint Planning meetings… or they overinvest in it and try to eliminate every possible uncertainty before starting work. Neither extreme works. Done well, product backlog refinement is the hidden engine of predictable delivery. It improves planning, increases throughput, reduces frustration, and strengthens trust between the Product Owner and the team. Done poorly, it leads to long planning meetings, missed sprint goals, and growing skepticism about estimation. This guide explains what product backlog refinement is, how much is enough, and…
UJET’s launch of Agentic Experience Orchestration (AXO) marks its entry into agentic Customer Experience (CX) and reflects where the broader market is heading. The shift is no longer about whether AI can summarize conversations or recommend next-best actions. The more important question is whether Artificial Intelligence (AI) can complete the work behind the interaction across disconnected systems, fragmented desktops, and manual workflows. UJET positions AXO not as a standalone assist layer, but as a persistent AI layer that unifies enterprise data, customer context, workflow execution, and continuous improvement. That distinction matters because much of the first wave of AI in CX focused on surface-level automation. Enterprises invested in…
OURA, a smart ring maker, has finally stepped into the Indian market. The first product from the company for India is the OURA Ring 4, which is a premium smart ring targetted at high earners. It will only be available with Amazon India and Croma to begin with. OURA members in India are averaging a sleep of six hours and 28 minutes per night, which is 40 minutes less than the longest-sleeping countries, a report from the company said.Indians need more sleep, and OURA is here to help with just that. While the smart ring from OURA doesn’t directly help…
We are happy to announce that torch v0.10.0 is now on CRAN. In this blog post we highlight some of the changes that have been introduced in this version. You can check the full changelog here. Automatic Mixed Precision Automatic Mixed Precision (AMP) is a technique that enables faster training of deep learning models, while maintaining model accuracy by using a combination of single-precision (FP32) and half-precision (FP16) floating-point formats. In order to use automatic mixed precision with torch, you will need to use the with_autocast context switcher to allow torch to use different implementations of operations that can run…
Since Ryan took over as the lead editor at Smart Data Collective, we have examined how data analytics and AI affect the digital entertainment sector. Something that has drawn increasing attention is the role of machine learning in iGaming software development.Something that makes machine learning valuable in iGaming is its ability to process large amounts of player behavior data and improve gameplay systems. There are many examples where developers apply these tools to detect fraud, personalize experiences, and refine game mechanics. Keep reading to learn more.How Machine Learning Is Influencing iGaming DevelopmentThere are many ways machine learning tools assist developers…
Microsoft is positioning Planetary Computer as a tool for building environmental applications, using data to watch population, pollution, plant cover, weather, and more, with data that can be used as part of its AI for Good machine learning program. Planetary Computer isn’t a single application. Instead, it’s a framework for bringing multiple data sources together to build and deliver a collection of different geospatial environmental applications. At its heart is a catalog of curated data sources from a mix of commercial, academic, and government organizations, along with the necessary APIs to query and use that data, as well as ways…
The Hacker NewsMar 17, 2026Artificial Intelligence / Security Leadership A majority of security leaders are struggling to defend AI systems with tools and skills that are not fit for the challenge, according to the AI and Adversarial Testing Benchmark Report 2026 from Pentera. The report, based on a survey of 300 US CISOs and senior security leaders, examines how organizations are securing AI infrastructure and highlights critical gaps tied to skills shortages and reliance on security controls not designed for the AI era. AI adoption is outpacing security visibility AI systems are rarely deployed in isolation. They are layered across…
I’m trying to develop an AppIntent / action for Shortcuts that accepts a video input that comes from a Photos action (e.g., “Select Photos”). Everything I’ve read says “IntentFile” is the only appropriate data type, which I have previously used successfully for accepting photo inputs from the same actions. However, here’s what I’ve observed with this use case: Magic variable data type Swift variable data type Result “Photo media” (default) or “File” “IntentFile” Input rejected – action re-prompts for input with magic variable highlighted red “Photo media” (default) or “File” “[IntentFile]” Input accepted but blank – “.count” is 0. I’ve…
Apple TV has just released the trailer for its new comedy film, Outcome, starring Keanu Reeves and a stacked supporting roster. And based on this early look, it has all the makings of a hit. Outcome premieres exclusively on Apple TV this April Last month, Apple revealed first looks at its packed movie lineup for this year. And among the titles shown was dark comedy Outcome, by director Jonah Hill. Today though, the official trailer for Outcome has been unveiled—and it looks excellent. Outcome premieres Friday, April 10 exclusively on Apple TV. The film stars Keanu Reeves, Cameron Diaz, Matt…