No, AI isn't stealing your tech job - it's just transforming it
发布日期：2025-09-30
Few roles are at risk of total replacement by AI, but change is still happening fast, and hybrid skill sets are the new norm.
Webo.AI
Webomates offers cloud-based testing services with AI automation and detailed reporting.
10k 热度
AI开发平台
test automation platform
AI-based testing
automated test case generation
test suite execution
test maintenance
dashboard
reporting
defect triaging
软件新闻
Microsoft just added AI agents to Word, Excel, and PowerPoint - how to use them
发布日期：2025-09-29
Available for Microsoft 365 Copilot users, the new agents will help you create, edit, and analyze your documents, spreadsheets, and presentations.
Huawei details open-source AI development roadmap at Huawei Connect 2025
发布日期：2025-09-29
Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.
CAMIA privacy attack reveals what AI models memorise
发布日期：2025-09-26
Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.
Samsung benchmarks real productivity of enterprise AI models
发布日期：2025-09-25
Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.
Inside Huawei’s plan to make thousands of AI chips think like one computer
发布日期：2025-09-25
Imagine connecting thousands of powerful AI chips scattered in dozens of server cabinets and making them work together as if they were a single, massive computer. That is exactly what Huawei demonstrated at HUAWEI CONNECT 2025, where the company unveiled a breakthrough in AI infrastructure architecture that could reshape how the world builds and scales […] The post Inside Huawei’s plan to make thousands of AI chips think like one computer appeared first on AI News.
Generative AI in retail: Adoption comes at high security cost
发布日期：2025-09-24
The retail industry is among the leaders in generative AI adoption, but a new report highlights the security costs that accompany it. According to cybersecurity firm Netskope, the retail sector has all but universally adopted the technology, with 95% of organisations now using generative AI applications. That’s a huge jump from 73% just a year […] The post Generative AI in retail: Adoption comes at high security cost appeared first on AI News.
OpenAI and Nvidia plan $100B chip deal for AI future
发布日期：2025-09-24
OpenAI and Nvidia have signed a letter of intent for a $100B partnership that could reshape how AI systems are trained and deployed. The plan calls for at least 10 gigawatts of Nvidia hardware to support OpenAI’s next-generation AI infrastructure, which will train and run future models aimed at superintelligence. To support the rollout, Nvidia […] The post OpenAI and Nvidia plan $100B chip deal for AI future appeared first on AI News.
Governing the age of agentic AI: Balancing autonomy and accountability
发布日期：2025-09-24
Author: Rodrigo Coutinho, Co-Founder and AI Product Manager at OutSystems AI has moved beyond pilot projects and future promises. Today, it’s embedded in industries, with more than three-quarters of organisations (78%) now using AI in at least one business function. The next leap, however, is agentic AI: systems that don’t just provide insights or automate […] The post Governing the age of agentic AI: Balancing autonomy and accountability appeared first on AI News.
Google's latest AI safety report explores AI beyond human control
发布日期：2025-09-24
How AI models could manipulate, misuse, and even build systems humans can't understand.
使用指南
What is Webomates?
Webomates is a cloud-based testing platform that provides Testing as a Service (TaaS) to software companies. It offers a wide range of features, including AI-based automated test case generation, test suite execution, and test maintenance with AiHealing. The platform also includes a smart centralized dashboard, detailed reporting, and comprehensive analysis with actionable triaged defects.
How to use Webomates?
To use Webomates, follow these steps:
1. Sign up for a CQ Portal account by providing your email address and website address.
2. Receive login credentials for the CQ Portal.
3. Access the CQ Portal using your provided credentials.
4. The AI engine will automatically generate a test strategy and test cases within 24 hours.
5. Review and approve the generated test strategy and test cases.
6. After 24 hours, execute test automation for regression testing.
7. Benefit from faster time to market, reduced test time, reduced test cycle, and reduced production defects.
Webomates's Core Features
The core features of Webomates include:
- AI-based automated test case generation
- Test suite execution
- Test maintenance with AiHealing
- Smart centralized dashboard
- Detailed reporting and comprehensive analysis
- Actionable triaged defects
Webomates's Use Cases
#1
Webomates is ideal for startups and new ventures facing testing challenges. It helps overcome common testing challenges such as time-consuming automation, lack of scalability with growth, and the need for research and expert hiring. By using Webomates, startups can save time and resources, reduce QA costs, and accelerate their product's time to market.
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