AI Power Progress iA
Daily

Intelligence Digest

Grounded updates from real sources (RSS/arXiv/NVD/KEV). AI synthesis is optional and clearly labeled.

Digest JSON Archive JSON Subscribe RSS Live Feed
2026-05-04 · Δ 25 new vs 2026-05-03 · generated 2026-05-04T04:05:40Z · 0.02s

Pipeline Freshness

FRESH
digest 2026-05-04 · generated 2026-05-04T04:05:40Z · no feed lag detected · news sources 6/6 ok · Δ 25 new

From Digest to Action

Ask AIgrounded

Turn updates into a plan

Use the site-wide Ask AI widget to summarize the latest digest, identify the highest-priority items, and turn them into practical next steps.

Servicesquick order

Need implementation help?

Route directly into the real delivery flows when a digest item should become security work, automation work, AI work, or a scoped build.

Open Services Desk Quick order
Follow-upprivate

Continue existing work

If today’s intelligence affects work already in progress, jump straight into the signed-in account flow or the private request-status lookup.

Account Request status

Highlights

Highlights (extractive; metadata-only).
Top highlights (metadata-only; no AI synthesis):

- NEWS · Biotech: FDA testing speedier drug development with real-time clinical trials | STAT (https://www.statnews.com/2026/04/28/fda-real-time-clinical-trials-pilot-project-astrazeneca-amgen-cancer-drugs/) — Brave News
snippet: FDA announces cancer drug trials by AstraZeneca and Amgen will be monitored in real time, a test of how to shorten time interval between trial phases.
- NEWS · Education: Educational Research in Mexico: Challenges, Opportunities, Methods, and the Role of Technology in Digital Learning | Uniwriter (https://www.uniwriter.ai/education/educational-research-in-mexico-challenges-opportunities-methods-and-the-role-of-technology-in-digital-learning/) — Brave News
snippet: Consequently, research has increasingly adopted mixed-methods designs to evaluate blended learning models, combining surveys on access with qualitative insights into student experiences. Furthermore, emerging studies explore adaptive lea…
- NEWS · Cybersecurity: cPanel zero-day exploited for months before patch release (CVE-2026-41940) - Help Net Security (https://www.helpnetsecurity.com/2026/04/30/cpanel-zero-day-vulnerability-cve-2026-41940-exploited/) — Brave News
snippet: A critical vulnerability (CVE-2026-41940) in the cPanel control panel for managing web hosting accounts, is being exploited by attackers.
- NEWS · Compute: Agentic AI Pushes CPUs to Pack 400 GB of Memory, 4x More Than Today, as DRAM Shortage Spirals Toward 2027 (https://wccftech.com/agentic-ai-pushes-cpus-to-pack-400-gb-of-memory-4x-more-than-today) — Brave News
snippet: CPUs or GPUs, but require lots of memory for running Agentic AI, and this demand is spiraling to unseen levels as DRAM constraints persist.
- NEWS · AI: EU countries, lawmakers fail to reach deal on watered-down AI rules | Reuters (https://www.reuters.com/sustainability/boards-policy-regulation/eu-countries-lawmakers-fail-reach-deal-watered-down-ai-rules-2026-04-29/) — Brave News
snippet: EU countries and European Parliament lawmakers failed to reach a deal on watered-down landmark artificial intelligence rules after 12 ​hours of negotiations on Tuesday and will resume talks next month.
- NEWS · AI: Best AI Models: April + May 2026 Leaderboard (GPT-5.5, Claude Opus 4.7, DeepSeek V4) (https://buildfastwithai.com/blogs/best-ai-models-may-2026-leaderboard) — Brave News
snippet: The most competitive month in AI history just ended. Full rankings, benchmarks, and which model wins for coding, reasoning, video, and more.
- NEWS · Education: Opinion | You Can’t Game Your Way to a Real Education - The New York Times (https://nytimes.com/2026/04/19/opinion/schools-edtech-laptops-games-learning.html) — Brave News
snippet: Technology must return to its proper ... of education. The logic for bringing more technology into K-12 classrooms seemed intuitive, even before the Covid-19 pandemic pushed school onto screens. If adults were using the latest personal d…
- NEWS · Cybersecurity: Microsoft releases emergency patches for critical ASP.NET flaw (https://www.bleepingcomputer.com/news/microsoft/microsoft-releases-emergency-security-updates-for-critical-aspnet-flaw/) — Brave News
snippet: Microsoft has released out-of-band (OOB) security updates to patch a critical ASP.NET Core privilege escalation vulnerability.
- NEWS · Compute: GPU price tracking 2026: Lowest price on every graphics card from Nvidia, AMD, and Intel today — here are the best deals during the AI-driven pricing crisis | Tom's Hardware (https://www.tomshardware.com/pc-components/gpus/lowest-gpu-prices-tracking) — Brave News
snippet: Weather the AI-driven price hikes with the best deals around.
- NEWS · AI: AI Act Omnibus: What just happened and what comes next? | IAPP (https://iapp.org/news/a/ai-act-omnibus-what-just-happened-and-what-comes-next) — Brave News
snippet: AI Governance Center Managing Director Ashley Casovan reacts to the delay in AI Act reform negotiations and assesses what AI governance professionals should do with the legal uncertainty and a looming enforcement deadline for certain hig…
- NEWS · AI: Beyond benchmarks: how we might know if AI is really about to change everything (https://80000hours.substack.com/p/beyond-benchmarks-how-we-might-know) — Brave News
snippet: As Cotra notes, “benchmarks are ... oversell model capabilities relative to their ability to automate real-life work tasks. Benchmarks also tend to get maxed out and replaced, meaning they’re poorly suited to play the role of a stable ya…
- NEWS · Biotech: Why the FDA rejected a ‘breakthrough’ melanoma drug | Scientific American (https://scientificamerican.com/article/why-the-fda-rejected-a-breakthrough-melanoma-drug) — Brave News
snippet: The FDA rejected the promising skin cancer drug RP1 twice, leaving many puzzled and worried about what this means for other drug approvals

Digest

Tech + AI + Science News

Tech + AI + Science News

8 item(s)

FDA testing speedier drug development with real-time clinical trials | STAT
Brave News
Open
FDA announces cancer drug trials by AstraZeneca and Amgen will be monitored in real time, a test of how to shorten time interval between trial phases.
Educational Research in Mexico: Challenges, Opportunities, Methods, and the Role of Technology in Digital Learning | Uniwriter
Brave News
Open
Consequently, research has increasingly adopted mixed-methods designs to evaluate blended learning models, combining surveys on access with qualitative insights into student experiences. Furthermore, emerging studies explore adaptive learning technologies, such as AI-driven platforms, which personalise education ...
cPanel zero-day exploited for months before patch release (CVE-2026-41940) - Help Net Security new
Brave News
Open
A critical vulnerability (CVE-2026-41940) in the cPanel control panel for managing web hosting accounts, is being exploited by attackers.
Agentic AI Pushes CPUs to Pack 400 GB of Memory, 4x More Than Today, as DRAM Shortage Spirals Toward 2027 new
Brave News
Open
CPUs or GPUs, but require lots of memory for running Agentic AI, and this demand is spiraling to unseen levels as DRAM constraints persist.
The text mode lie: why modern TUIs are a nightmare for accessibility new
Hacker News · 2026-05-03
Open
Comments
Let's Buy Spirit Air new
Hacker News · 2026-05-03
Open
Comments
The 'Hidden' Costs of Great Abstractions new
Hacker News · 2026-05-03
Open
Comments
DeepClaude – Claude Code agent loop with DeepSeek V4 Pro, 17x cheaper new
Hacker News · 2026-05-03
Open
Comments
Research (arXiv)

Research (arXiv)

10 item(s)

Posterior Augmented Flow Matching new
arXiv · 2026-05-01
Open
Flow matching (FM) trains a time-dependent vector field that transports samples from a simple prior to a complex data distribution. However, for high-dimensional images, each training sample supervises only a single trajectory and intermediate point, yielding an extremely sparse and high-variance training signal. This under-constrained supervision can cause flow collapse, where the learned dynamics memorize specific source-target pairings, mapping diverse inputs to overly similar outputs, failing to generalize. We introduce Posterior-Augmented Flow Matching (PAFM), a theoretically grounded generalization of FM that replaces single-target supervision with an expectation over an approximate posterior of valid target completions for a given intermediate state and condition. PAFM factorizes this intractable posterior into (i) the likelihood of the intermediate under a hypothesized endpoint a
Reliability, Robustness, and Resilience Modeling for Surveillance System in Advanced Air Mobility Operations new
arXiv · 2026-05-01
Open
Ensuring the safe and efficient operation of Advanced Air Mobility (AAM) in low-altitude airspace requires a reliable, robust, and resilient surveillance system capable of continuously detecting, identifying, and tracking aircraft under both normal and off-nominal conditions. To address this need, this study develops a comprehensive 3R modeling framework, reliability, robustness, and resilience, for the Surveillance for Advanced Air Mobility (SAM) system, with a focus on the optimal design and operation of a multi-type sensor network. Under normal operating conditions, the reliability model determines the baseline sensor types, quantities, and locations required to satisfy surveillance coverage and detection requirements. To address external perturbations, such as adverse weather conditions or sudden increases in AAM traffic demand, the robustness model identifies additional sensor requi
HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs new
arXiv · 2026-05-01
Open
We introduce HyCOP, a modular framework that learns parametric PDE solution operators by composing simple modules (advection, diffusion, learned closures, boundary handling) in a query-conditioned way. Rather than learning a monolithic map, HyCOP learns a policy over short programs - which module to apply and for how long - conditioned on regime features and state statistics. Modules may be numerical sub-solvers or learned components, enabling hybrid surrogates evaluated at arbitrary query times without autoregressive rollout. Across diverse PDE benchmarks, HyCOP produces interpretable programs, delivers order-of-magnitude OOD improvements over monolithic neural operators, and supports modular transfer through dictionary updates (e.g., boundary swaps, residual enrichment). Our theory characterizes expressivity and gives an error decomposition that separates composition error from module
When LLMs Stop Following Steps: A Diagnostic Study of Procedural Execution in Language Models new
arXiv · 2026-05-01
Open
Large language models (LLMs) often achieve strong performance on reasoning benchmarks, but final-answer accuracy alone does not show whether they faithfully execute the procedure specified in a prompt. We study this question through a controlled diagnostic benchmark for procedural execution, where models are given a step-wise arithmetic algorithm and two numeric inputs, and must return the final computed value. The benchmark uses simple arithmetic operations but increases complexity through algorithm length and look-back dependencies over intermediate variables. Across 14 models and 55 datasets, average first-answer accuracy drops from 61% on 5-step procedures to 20% on 95-step procedures. Generation-level analysis shows that failures often involve missing answers, premature answers, self-correction after an initial error, under-executed traces, and hallucinated extra steps. These findin
Revealing the origin of XMCD in an altermagnet via three-dimensional control of spins new
arXiv · 2026-05-01
Open
Altermagnets are an emerging class of collinear antiferromagnets that exhibit unconventional spin-polarised electronic bands, potentially unlocking new functionalities that do not rely on spin-orbit coupling (SOC). Experimental signatures traditionally associated with spin polarisation, like X-ray magnetic circular dichroism (XMCD), are thus being used as a validation of altermagnetism. However, unlike altermagnetic spin-splitting, these responses require SOC and are not invariant under spin-space rotations. This brings into question the extent to which they can be considered direct signatures of altermagnetism. Here, we exploit the g-wave altermagnet $α$-Fe$_{2}$O$_{3}$ to demonstrate that XMCD is governed precisely by the spin-direction-induced symmetry breaking that altermagnetic spin groups are designed to ignore. Strikingly, the XMCD is highly anisotropic and is decoupled from the w
Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs new
arXiv · 2026-05-01
Open
While autoregressive Large Vision-Language Models (LVLMs) demonstrate remarkable proficiency in multimodal tasks, they face a "Visual Signal Dilution" phenomenon, where the accumulation of textual history expands the attention partition function, causing visual attention to decay inversely with generated sequence length. To counteract this, we propose Persistent Visual Memory (PVM), a lightweight learnable module designed to ensure sustained, on-demand visual perception. Integrated as a parallel branch alongside the Feed-Forward Network (FFN) in LVLMs, PVM establishes a distance-agnostic retrieval pathway that directly provides visual embeddings for precise visual perception, thereby structurally mitigating the signal suppression inherent to deep generation. Extensive experiments on Qwen3-VL models demonstrate that PVM brings notable improvements with negligible parameter overhead, deliv
Let ViT Speak: Generative Language-Image Pre-training new
arXiv · 2026-05-01
Open
In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-training (GenLIP), a minimalist generative pretraining framework for Vision Transformers (ViTs) designed for multimodal large language models (MLLMs). To better align vision encoders with the autoregressive nature of LLMs, GenLIP trains a ViT to predict language tokens directly from visual tokens using a standard language modeling objective, without contrastive batch construction or an additional text decoder. This design offers three key advantages: (1) \textbf{Simplicity}: a single transformer jointly models visual and textual tokens; (2) \textbf{Scalability}: it scales effectively with both data and model size; and (3) \textbf{Performance}: it achieves competitive or superior results across diverse multimodal benchmarks. Trained on 8B samples from Recap-DataComp-1B, GenLIP matches or surpasses
Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver new
arXiv · 2026-05-01
Open
The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing units that is necessary in the conventional VQE algorithm. While CVQE offers complete freedom to choose the guiding state as input, not all guiding states suffice for solution accuracy, as well as resource efficiency. Our work presents a process based on trapezoidal-state preparation for selecting guiding states that yield accurate many-electron ground-state solutions with minimal resource consumption. By analyzing the state probability distributions at different stages of the CVQE calculations, we determine the optimal guiding-state parameters for given resource constraints. We demonstrate the process by comparing electronic energies along the minimal-energy path for a prototypical bimolecular reaction, $\mathrm{H}_2 + \mathrm{H}_2^+ \rightarr
Can Coding Agents Reproduce Findings in Computational Materials Science? new
arXiv · 2026-05-01
Open
Large language models are increasingly deployed as autonomous coding agents and have achieved remarkably strong performance on software engineering benchmarks. However, it is unclear whether such success transfers to computational scientific workflows, where tasks require not only strong coding ability, but also the ability to navigate complex, domain-specific procedures and to interpret results in the context of scientific claims. To address this question, we present AutoMat, a benchmark for evaluating LLM-based agents' ability to reproduce claims from computational materials science. AutoMat poses three interrelated challenges: recovering underspecified computational procedures, navigating specialized toolchains, and determining whether the resulting evidence supports a claim. By working closely with subject matter experts, we curate a set of claims from real materials science papers t
Determination of Density Functional Tight Binding Models for Cerium Allotropes new
arXiv · 2026-05-01
Open
We have developed Density Functional Tight Binding (DFTB) models for cerium that accurately predict both the electronic band structure and energetic ordering of different allotropes. We show that global optimization of the electronic confining potentials minimize the errors in the predicted Kohn-Sham energies while facilitating determination of a many-body repulsive energy. Our results illustrate the ability of DFTB to accurately reproduce complex f-electron interactions for multiple phases while leveraging minimal Density Functional Theory data.
Security (NVD + CISA KEV)

Security (NVD + CISA KEV)

0 item(s)

No items in this section.
Projects + Resources (Discovery)

Projects + Resources (Discovery)

10 item(s)

Free Online Top Machine Learning Course for Beginners
Brave Search
Open
<strong>LearnVern offers a free Machine Learning course available in Hindi</strong> for better clarity. Learn supervised, unsupervised and reinforcement learning algorithms, finding data sets, sampling methods, dimensionality reduction etc.
Learn JavaScript Tutorial: Updated Point-by-Point Course new
Brave Search
Open
Can I teach myself JavaScript? Yes, with this free course you can learn beginner to advance JavaScript. Rated best by 70K+ learners for video tutorial in Hindi.
Python For Beginners - In Hindi (Free) new
Brave Search
Open
Learn Python Through Expert: Software Developer + Trainer You will found this training: - Easy to learn - Interesting, interactive, and practical - Comprehensive but straight-forward(Quick) - Full of quizzes and with video explanation - Practical challenges/Questions and solutions We cover a wide variety of topics, including: Introduction &amp; Installation Variable, Datatypes &amp; User Input Variable &amp; Datatypes User Input Operator &amp; Conditional Statement Operator String Formatter Conditional Statement Loop For loop with range() While Loop List List Methods of list(part-1) Methods of list(part-2) Co
Java Script Tutorials In Hindi | Learn Java Script Online Free Course - LeanrHindiTuts new
Brave Search
Open
JavaScript tutorial in Hindi सीखें और interactive websites बनाना समझें। Variables, functions, DOM manipulation, events, ES6 features, async...
Free Python Machine Learning Course in Hindi new
Brave Search
Open
<strong>Great Learning Academy</strong> provides this Python for Machine Learning in Hindi course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples.
JavaScript 标准参考教程（alpha） -- JavaScript 标准参考教程（alpha） new
Brave Search
Open
英文标题：JavaScript Standards Reference Guide · 授权方式：创意共享“署名-非商业性使用”许可证
JavaScript 教程 - 网道 new
Brave Search
Open
本教程适合初学者当作 JavaScript 语言入门教程，学完后就可以承担实际的网页开发工作，也适合当作日常使用的参考手册。
jQuery 教程_JavaScript_教程_教程_JSON在线解析及格式化验证 - JSON.cn new
Brave Search
Open
在本教程中，您将通过教程以及许多在线实例，学到如何通过使用 jQuery 应用 JavaScript 效果。
你是如何自学 Python 的？ - 知乎 new
Brave Search
Open
知乎，让每一次点击都充满意义 —— 欢迎来到知乎，发现问题背后的世界。
GitHub - Everfighting/python-tutorial-by-liaoxuefeng: 廖雪峰python教程笔记 new
Brave Search
Open
廖雪峰python教程笔记. Contribute to Everfighting/python-tutorial-by-liaoxuefeng development by creating an account on GitHub.

Sources

Grounded items come from local feed artifacts (metadata-only). This panel shows feed freshness and errors.

Feeds: generated 2026-05-04T04:05:06Z · 34.091s · ok
news ok

News (RSS/Atom)

900 item(s) · updated 2026-05-04T04:05:40Z · sources 6/6 ok · newest 2026-05-03 · configured
News sources (6/6 ok)
OpenAI News ok
18 item(s) · newest 2026-04-30
Hacker News ok
18 item(s) · newest 2026-05-03
GitHub Blog ok
10 item(s) · newest 2026-04-30
ScienceDaily — Artificial Intelligence ok
18 item(s) · newest 2026-04-30
ScienceDaily — Education & Learning ok
18 item(s) · newest 2026-03-11
ScienceDaily — Stem Cells ok
18 item(s) · newest 2026-04-08
arxiv ok

Research (arXiv)

180 item(s) · updated 2026-05-04T04:05:20Z · newest 2026-05-04
nvd ok

Security (NVD)

600 item(s) · updated 2026-05-04T04:05:21Z · newest 2026-05-04
kev ok

Security (CISA KEV)

600 item(s) · updated 2026-05-04T04:05:21Z · newest 2026-05-04
brave ok

Discovery (Brave)

593 item(s) · updated 2026-05-04T04:05:21Z · newest 2026-05-04 · configured

Archive

Archived by UTC day. Early v1 pages are best-effort and may be incomplete if feeds were offline.

29 day(s)