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.
Denvr AI Cloud
Denvr Dataworks provides cloud and infrastructure for AI, ML, HPC, and compute applications.
10k 热度
AI开发平台
high performance cloud
cloud infrastructure
AI
Machine Learning
HPC
compute intensive
GPU
application bundles
custom containers
compute scaling
transparent pricing
expert support
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 Denvr Dataworks?
Denvr Dataworks is a high performance cloud and cloud infrastructure provider designed specifically for AI, Machine Learning (ML), High Performance Computing (HPC), and compute intensive applications. It offers a range of services including Denvr AI Cloud, Denvr VM (VM as a Service), and Denvr Metal (Bare Metal as a Service) to cater to different needs.
How to use Denvr Dataworks?
To use Denvr Dataworks, you can start by requesting a Free Denvr AI Cloud Test Drive. Once you have access to their platform, you can explore and leverage their high performance cloud infrastructure built for AI. Developers and data scientists can use Denvr AI Cloud to instantly access the best GPUs and single-click application bundles for major AI/ML frameworks and tools. Custom containerized application bundles can also be developed and integrated for increased efficiency. The platform offers self-service options, transparent pricing, and expert support to empower users.
Denvr Dataworks's Core Features
High performance cloud and cloud infrastructure
Instant access to best GPUs
Single-click application bundles for major AI/ML frameworks and tools
Custom containerized application bundles
On-demand compute scaling
Fully reserved instances
Self-service options
Transparent pricing
Expert support
Denvr Dataworks's Use Cases
#1
AI development
#2
Machine Learning projects
#3
High Performance Computing
#4
Compute intensive applications
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