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.
Achievable - AI adaptive learning
Achievable helps people ace high-stakes exams using ML and AI to personalize the learning experience, resulting in industry-leading outcomes with less study time.
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 Achievable - AI adaptive learning?
Achievable test prep is a platform focused on career-advancing and achievement-oriented exams. We currently have courses for the GRE, FINRA SIE and Series exams, USMLE Step 1, AMC exams, and more in development.
Each course offers rich textbook content, reviews backed by memory science algorithms, and full practice exams to help learners prepare for their exams. We believe we’ve built the best platform for test preparation by removing any guesswork. With Achievable, you study, and you succeed. Achievable is a defined and efficient path to ace any exam.
As people study, our algorithms track their progress over thousands of data points, using machine learning and artificial intelligence to deliver a personalized learning experience, resulting in best-in-class outcomes with less study time. We aim to develop our platform further, applying our learning engine to more professional courses over a wide variety of subjects, and building the equivalent of a digital personal trainer for learning.
Opportunity-gating exams change learners’ lives, if they are successful. Yet current test prep providers don’t take responsibility for outcomes. Achievable is your partner throughout the entire process.
How to use Achievable - AI adaptive learning?
To get started with Achievable, simply visit the course page of your desired course on https://achievable.me to get access to a free trial. You can test drive the course a bit before being asked to pay. Then, once you pay, you will have full access to the course platform.
We recommend the following steps when using Achievable:
1) Set up your study plan by entering your desired test date
2) Complete the chapters recommended by the study plan each day
3) At the end of each chapter is a set of review questions. Complete these reviews immediately after you finish reading each chapter.
4) Additionally, every day, complete your outstanding reviews when you log in.
5) As you get close to completing the course, take multiple full-length practice exams to identify weak areas and see how close you are to your target score.
6) Using the data gained from the practice exams, go back and study your weak areas. Retake the review and practice exams questions for those areas until you see the scores you want.
Achievable - AI adaptive learning's Core Features
Rich formatting online textbook
Review questions
Full-length practice exams
Mobile-responsive UI
AI-powered spaced repetition adaptive learning algorithm
ML essay grader for essay sections of select courses
Study planner
Detailed analytics on review and practice exam question performance over time
Burn-up chart for practice exams
Achievable - AI adaptive learning's Use Cases
#1
Test preparation
#2
Tutoring
#3
Classroom material
#4
Corporate training
FAQ from Achievable - AI adaptive learning
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Achievable - AI adaptive learning Company
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Achievable - AI adaptive learning Login
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