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.
Remyx AI simplifies AI customization and deployment without coding or data.
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.
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.
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.
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.
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.
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.
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.
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.
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.
发布日期:2025-09-24
How AI models could manipulate, misuse, and even build systems humans can't understand.
What is Remyx AI?
Remyx AI is a hybrid cloud platform that simplifies AI customization and deployment. It allows users to easily customize and build personalized AI engines for their applications without writing code or providing data.
How to use Remyx AI?
To use Remyx AI, follow these steps:
1. Sign up for an account on the Remyx AI website.
2. Access the Remyx Agent, your AI co-pilot, which will guide you through the customization process.
3. Define your requirements and goals for the AI engine.
4. Use the user-friendly interface to build tailor-made computer vision models.
5. Remyx takes care of the AI infrastructure and setup details.
6. Deploy the customized AI engine into your application.
Remyx AI's Core Features
Hybrid cloud platform for AI customization
No code and no data required
Step-by-step support from the Remyx Agent
Tailor-made computer vision models
Streamlined AI infrastructure setup
Remyx AI's Use Cases
#1
Customizing vision models for applications
#2
Intelligent image processing
#3
Automated machine learning tasks
#4
Creating AI solutions without ML expertise
#5
Simplified model creation for beginners
FAQ from Remyx AI
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Remyx AI Discord
Here is the Remyx AI Discord:
https://discord.gg/cnAwz7N7ss
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For more Discord message, please click
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Remyx AI Company
Remyx AI Company name:
Remyx AI
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Remyx AI Login
Remyx AI Login Link:
https://engine.remyx.ai
Remyx AI Sign up
Remyx AI Sign up Link:
https://engine.remyx.ai
Remyx AI Linkedin
Remyx AI Linkedin Link:
https://www.linkedin.com/company/remyxai/
Remyx AI Twitter
Remyx AI Twitter Link:
https://twitter.com/remyxai
Remyx AI Github
Remyx AI Github Link:
https://github.com/remyxai