发布日期:2026-04-20
收录条目:12
1. Cloud development platform Vercel was hacked
- 来源:The Verge AI
- 发布时间:2026-04-19 19:54 UTC
- 链接:https://www.theverge.com/tech/914723/vercel-hacked
摘要:Vercel, a major development platform that hosts and deploys web apps, was compromised, and the hackers are attempting to sell stolen data. A person claiming to be a member of ShinyHunters, which was behind the recent hac
2. Meet OpenMythos: An Open-Source PyTorch Reconstruction of Claude Mythos Where 770M Parameters Match a 1.3B Transformer
- 来源:MarkTechPost
- 发布时间:2026-04-19 19:47 UTC
- 链接:https://www.marktechpost.com/2026/04/19/meet-openmythos-an-open-source-pytorch-reconstruction-of-claude-mythos-where-770m-parameters-match-a-1-3b-transformer/
摘要:Anthropic has never published a technical paper on Claude Mythos. That has not stopped the research community from theorizing. A new open-source project called OpenMythos, released on GitHub by Kye Gomez, attempts someth
3. How TabPFN Leverages In-Context Learning to Achieve Superior Accuracy on Tabular Datasets Compared to Random Forest and CatBoost
- 来源:MarkTechPost
- 发布时间:2026-04-19 19:11 UTC
- 链接:https://www.marktechpost.com/2026/04/19/how-tabpfn-leverages-in-context-learning-to-achieve-superior-accuracy-on-tabular-datasets-compared-to-random-forest-and-catboost/
摘要:Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models based on decision tre
4. A Coding Implementation to Build an AI-Powered File Type Detection and Security Analysis Pipeline with Magika and OpenAI
- 来源:MarkTechPost
- 发布时间:2026-04-19 18:38 UTC
- 链接:https://www.marktechpost.com/2026/04/19/a-coding-implementation-to-build-an-ai-powered-file-type-detection-and-security-analysis-pipeline-with-magika-and-openai/
摘要:In this tutorial, we build a workflow that combines Magika’s deep-learning-based file type detection with OpenAI’s language intelligence to create a practical and insightful analysis pipeline. We begin by setting up the
5. NVIDIA Releases Ising: the First Open Quantum AI Model Family for Hybrid Quantum-Classical Systems
- 来源:MarkTechPost
- 发布时间:2026-04-19 07:54 UTC
- 链接:https://www.marktechpost.com/2026/04/19/nvidia-releases-ising/
摘要:Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have followed — but the gap between a quantum processor running in a lab and one running a
6. xAI Launches Standalone Grok Speech-to-Text and Text-to-Speech APIs, Targeting Enterprise Voice Developers
- 来源:MarkTechPost
- 发布时间:2026-04-19 05:28 UTC
- 链接:https://www.marktechpost.com/2026/04/18/xai-launches-standalone-grok-speech-to-text-and-text-to-speech-apis-targeting-enterprise-voice-developers/
摘要:Elon Musk’s AI company xAI has launched two standalone audio APIs — a Speech-to-Text (STT) API and a Text-to-Speech (TTS) API — both built on the same infrastructure that powers Grok Voice on mobile apps, Tesla vehicles,
7. A Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG
- 来源:MarkTechPost
- 发布时间:2026-04-19 04:33 UTC
- 链接:https://www.marktechpost.com/2026/04/18/a-coding-tutorial-for-running-prismml-bonsai-1-bit-llm-on-cuda-with-gguf-benchmarking-chat-json-and-rag/
摘要:In this tutorial, we implement how to run the Bonsai 1-bit large language model efficiently using GPU acceleration and PrismML’s optimized GGUF deployment stack. We set up the environment, install the required dependenci
8. A Coding Guide for Property-Based Testing Using Hypothesis with Stateful, Differential, and Metamorphic Test Design
- 来源:MarkTechPost
- 发布时间:2026-04-18 21:55 UTC
- 链接:https://www.marktechpost.com/2026/04/18/a-coding-guide-for-property-based-testing-using-hypothesis-with-stateful-differential-and-metamorphic-test-design/
摘要:In this tutorial, we explore property-based testing using Hypothesis and build a rigorous testing pipeline that goes far beyond traditional unit testing. We implement invariants, differential testing, metamorphic testing
9. Anthropic Releases Claude Opus 4.7: A Major Upgrade for Agentic Coding, High-Resolution Vision, and Long-Horizon Autonomous Tasks
- 来源:MarkTechPost
- 发布时间:2026-04-18 21:40 UTC
- 链接:https://www.marktechpost.com/2026/04/18/anthropic-releases-claude-opus-4-7-a-major-upgrade-for-agentic-coding-high-resolution-vision-and-long-horizon-autonomous-tasks/
摘要:Anthropic has launched Claude Opus 4.7, it’s latest frontier model and a direct successor to Claude Opus 4.6. The release is positioned as a focused improvement rather than a full generational leap, but the gains it deli
10. The RAM shortage could last years
- 来源:The Verge AI
- 发布时间:2026-04-18 21:08 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/914672/the-ram-shortage-could-last-years
摘要:According to Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected to meet 60 percent of demand by the end of 2027. SK Group chairman has even said that shortages could last until 2030.
11. Google AI Releases Auto-Diagnose: An Large Language Model LLM-Based System to Diagnose Integration Test Failures at Scale
- 来源:MarkTechPost
- 发布时间:2026-04-18 06:00 UTC
- 链接:https://www.marktechpost.com/2026/04/17/google-ai-releases-auto-diagnose-an-large-language-model-llm-based-system-to-diagnose-integration-test-failures-at-scale/
摘要:If you have ever stared at thousands of lines of integration test logs wondering which of the sixteen log files actually contains your bug, you are not alone — and Google now has data to prove it. A team of Google resear
12. A End-to-End Coding Guide to Running OpenAI GPT-OSS Open-Weight Models with Advanced Inference Workflows
- 来源:MarkTechPost
- 发布时间:2026-04-18 03:39 UTC
- 链接:https://www.marktechpost.com/2026/04/17/a-end-to-end-coding-guide-to-running-openai-gpt-oss-open-weight-models-with-advanced-inference-workflows/
摘要:In this tutorial, we explore how to run OpenAI’s open-weight GPT-OSS models in Google Colab with a strong focus on their technical behavior, deployment requirements, and practical inference workflows. We begin by setting