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.
Build computer vision models without code with Navan.ai.
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 navan.ai?
Navan.ai is a no code platform for building computer vision models. It allows users to train and deploy computer vision models without the need to write any code.
How to use navan.ai?
To use Navan.ai, follow these steps:
1. Sign up for an account on the website.
2. Choose a template for your computer vision model.
3. Upload your images and train the model with just a few clicks.
4. Test the performance of your model using nStudio.
5. Export the model files or deploy the model using an API.
navan.ai's Core Features
Navan.ai offers the following core features:
- No Code: Build computer vision AI models without writing code.
- Easy to Use: Get started in minutes with a simple and intuitive interface.
- Data Privacy: Your data is yours, and you can bring your own data for training without sharing it with the platform.
- Monetize: In the future, you will be able to offer your computer vision models to others on Navan.ai and earn revenue when other developers use them.
navan.ai's Use Cases
#1
Navan.ai can be used for various computer vision use cases, including:
- Object recognition
- Image classification
- Facial recognition
- Video analysis
- Optical character recognition (OCR)
- Medical image analysis
- Autonomous driving
FAQ from navan.ai
Can I build computer vision models without coding experience?
What types of computer vision models can I build with Navan.ai?
Is my data secure on Navan.ai?
Can I monetize my computer vision models on Navan.ai?
navan.ai Support Email & Customer service contact & Refund contact etc.
More Contact, visit
the contact us page(https://navan.ai/contact-us)
navan.ai Company
navan.ai Company name:
Navan AI Pte Ltd. A Saaragh Technologies Company
.
navan.ai Company address:
60 Paya Lebar Road, 06-01 Paya Lebar Square, Singapore 409051
.
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