Carlos's Debrief

May 26, 2026 04:00
41ArXiv Papers
14Web Findings
55Total Sources
Topics searched: Artificial Intelligence Machine Learning Large Language Models Security & Cybersecurity Cryptography Zero Knowledge Quantum Computing Crypto & Blockchain AI Agents & Reasoning AI Safety & Alignment
May 26, 2026 04:00 — Curated by Hermes Research Scout

⚡ Quick Summary

📰 News Headlines

📄 ArXiv Papers

🤖 Agents 22

QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks [1]
Jian Xie, Tianhe Lin, Zilu Wang, Yuting Ning, Yuekun Yao
QUEST is a family of open deep research agents (2B to 35B) trained on 8K synthesized tasks using unified rubric trees, approaching or surpassing frontier closed-source agents across eight deep…
cs.AIcs.CL
Decoding the Critique Mechanism in Large Reasoning Models [2]
Hoang Phan, Quang H. Nguyen, Hung T. Q. Le, Xiusi Chen, Heng Ji
Large Reasoning Models use a 'hidden critique ability' — an internal mechanism that detects errors and triggers self-correction even when the chain-of-thought doesn't verbalize corrections — and steering latent representations…
cs.CLcs.AI
Foundation Protocol: A Coordination Layer for Agentic Society [3]
Bang Liu, Yongfeng Gu, Jiayi Zhang, Zhaoyang Yu, Sirui Hong
Foundation Protocol (FP) is a graph-first coordination layer for an emerging human-AI society that unifies agents, tools, resources, humans, and organizations, providing economic primitives for metering and settlement while treating…
cs.AIcs.MA
Macaron-A2UI: A Model for Generative UI in Personal Agents [4]
Fancy Kong, Congjie Zheng, Murphy Zhuang, Rio Yang, Sueky Zhang
Macaron-A2UI generates natural language together with lightweight executable UI actions for personal agents, reaching 75.6 on A2UI-Bench and surpassing full-schema frontier baselines, moving beyond text-only chat interaction.
cs.AIcs.HC
Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth [5]
Yoav Gur-Arieh, Ana Marasović, Mor Geva
BonaFide, a benchmark of 3,066 ground-truth labeled CoTs, reveals that most faithfulness metrics for chain-of-thought reasoning perform near chance, with the best reaching only 0.70 AUROC at CoT level —…
cs.AIcs.CL
The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation [6]
Yifan Lan, Yuanpu Cao, Hanyu Wang, Lu Lin, Jinghui Chen
Zero-CoT Probe (ZCP) truncates chain-of-thought to expose latent shortcut mappings and detect evasive data contamination in LLMs, introducing Contamination Confidence to quantify both likelihood and severity of contamination beyond binary…
cs.CLcs.AI
Claw-Anything: Benchmarking Always-On Personal Assistants [7]
Yusong Lin, Xinyuan Liang, Haiyang Wang, Qipeng Gu, Siqi Cheng
Claw-Anything benchmarks always-on personal assistants with months of simulated user activity, finding GPT-5.5 achieves only 34.5% pass@1, substantially below prior benchmarks and revealing a significant gap between current agent capabilities…
cs.AIcs.HC
ProAct: Anticipate and Learn — Unleashing Idle-Time Compute in Proactive Agents [8]
Haoyi Hu, Qirong Lyu, Xianghan Kong, Weiwen Liu, Jianghao Lin
ProAct is a proactive agent architecture that leverages idle-time compute between user interactions to anticipate and prepare for likely upcoming needs, reducing task completion turns by 14.8% and hallucination rates…
cs.AIcs.CL
SEAL: Synergistic Co-Evolution of Agents and Learning Environments [9]
Yihao Hu, Zhihao Wen, Xiujin Liu, Pan Wang, Xin Zhang
SEAL co-evolves both the agent policy and its training environment in a closed loop, using turn-level failure diagnoses as a shared signal for both environment adaptation and policy optimization, yielding…
cs.AIcs.ML
SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking [10]
Guohong Liu, Jialei Ye, Pengzhi Gao, Wei Liu, Jian Luan
SimuWoB is a fully synthetic benchmark for mobile GUI agents with 120 challenging tasks in a virtual environment, revealing that state-of-the-art agents achieve only 27.92% average success rate, dropping to…
cs.AIcs.HC
MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing [11]
Han Chen, Zining Zhang, Wenqi Pei, Bingsheng He, Ming Wu
MemForest reformulates agent memory as a temporal data management problem using parallel chunk extraction and a hierarchical temporal index (MemTree), achieving 79.8% pass@1 accuracy on LongMemEval-S with 6x higher memory…
cs.AIcs.ML
ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video RL [12]
Zuhao Yang, Kaichen Zhang, Sudong Wang, Keming Wu, Zhongyu Yang
ParaVT introduces parallel video tool calling via multi-agent RL (dispatching multiple time-window crops in one turn), resolving the Tool Prior Paradox through PARA-GRPO which applies targeted format rewards and frame-budget…
cs.AIcs.LG
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills [13]
Yingtie Lei, Zhongwei Wan, Jiankun Zhang, Samiul Alam, Zixuan Zhong
SkillEvolBench diagnoses whether LLM agents can distill episodic task experience into reusable procedural skills, finding that current agents often adapt locally but rarely form robust reusable skills, and that raw-trajectory…
cs.AIcs.ML
Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning [14]
Benhao Huang, Zhengyang Geng, Zico Kolter
Equilibrium Reasoners (EqR) learn task-conditioned attractors — latent dynamical systems whose fixed points correspond to valid solutions — enabling test-time scaling via depth (more iterations) and breadth (multiple initializations), boosting…
cs.AIcs.LG
DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward RL [15]
Guochao Jiang, Jingyi Song, Guofeng Quan, Chuzhan Hao, Guohua Liu
DVAO dynamically adjusts combination weights based on empirical reward variance of each objective within a rollout group, up-weighting objectives with stronger learning signals while suppressing noisy ones, achieving superior multi-objective…
cs.LGcs.AI
Toward Native Multimodal Modeling: A Roadmap [16]
Siyu An, Junru Lu, Junnan Dong, Qiufeng Wang, Yinghui Li
This paper formalizes a roadmap for native multimodal modeling (NMM), defining architectural nativity and organizing existing native models into three categories (Multi-to-Text, Multi-to-Target, Multi-to-Multi), providing an industrial-grade investigation from architectural…
cs.CVcs.AI
InstructSAM: Segment Any Instance with Any Instructions [27]
Yuqian Yuan, Wentong Li, Zhaocheng Li, Yutong Lin, Juncheng Li
InstructSAM bridges a vision-language model with SAM3 through learnable instance queries, enabling multi-instance segmentation under arbitrary natural language instructions without modifying SAM3's core architecture.
cs.CVcs.AI
MetaphorVU: Towards Metaphorical Video Understanding [30]
Zhuoqun Li, Boxi Cao, Guiping Jiang, Fangrui Lv, Ruotong Pan
MetaphorVU-Bench is the first benchmark for metaphorical video understanding, revealing that current MLLMs lag far behind human level primarily due to defective cross-domain mapping, and MetaphorBoost improves performance through metaphor…
cs.CVcs.AI
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery [31]
Guiyao Tie, Jiawen Shi, Dingjie Song, Yixiao Huang, Ziji Sheng
This survey examines AI-powered scientific workflow automation (AutoResearch), analyzing how research systems redistribute control, evidence, execution, validation, and accountability across workflows.
cs.AIcs.SE
Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback [34]
Guijin Son, Jehyun Park, Seyeon Park, Sunghee Ahn, Youngjae Yu
This work shows that GPT-5.5 and Claude Code agents achieve at best ~20% first-attempt success on engineering CAD tasks validated via FEA, and introduces blueprint schema and 21-view image rendering…
cs.AIcs.CV
UniCharacter: Towards Customized Multimodal Role-Play [39]
Chao Tang, Jianzong Wu, Qingyu Shi, Ye Tian, Aixi Zhang
UniCharacter enables customized multimodal role-play by jointly customizing a character's persona, dialogue style, and visual identity from only 10 images, using unified SFT and character-specific GRPO.
cs.AIcs.CV
WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation [41]
Kaining Ying, Hengrui Hu, Siyu Ren, Jiamu Li, Fengjiao Chen
WBench evaluates interactive world models across 5 dimensions using 289 test cases and 1,058 interaction turns, finding that no single model performs strongly across all dimensions.
cs.CVcs.AI

🧠 LLMs 4

Channel-wise Vector Quantization [23]
Wei Song, Tianhang Wang, Yitong Chen, Tong Zhang, Zuxuan Wu
CVQ replaces patch-wise tokens with channel-wise tokens, representing images as discrete levels of visual detail rather than spatial patches, enabling 100% codebook utilization and achieving DPG score of 86.7 and…
cs.CVcs.LG
SemBridge: Language Transfer in Sparse Encoders via Multilingual Semantic Bridges [36]
Seongtae Hong, Youngjoon Jang, Jia-Heui Ju, Hyeonseok Moon, Heuiseok Lim
SemBridge initializes cross-lingual adaptation in sparse encoders by using multilingual dense embeddings as a bridge to select semantically related source-language tokens for each target-language token, achieving superior zero-shot retrieval across…
cs.CLcs.IR
VaaWIT: Visual-Aware Adaptation of LLMs for Multilingual Web Image Translation [37]
Bo Li, Ronghao Chen, Ningyuan Deng, Huacan Wang, Shaolin Zhu
VaaWIT adapts LVLMs for multilingual web image translation using a Dual-Stream Attention Module and Visual-Aware Adapter that dynamically injects fused visual cues into the frozen LLM backbone.
cs.CVcs.CL
Mix-MoE: Improving Multilingual MT of LLMs through Mixed MoEs [38]
Bo Li, Tianyu Dong, Shaolin Zhu, Deyi Xiong
Mix-MoE uses specialized Language Model Experts and Machine Translation Experts with Fourier Transform-enhanced routing to address parameter interference in multilingual MT fine-tuning, significantly outperforming existing baselines.
cs.CLcs.ML

⚡ Machine Learning 15

CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models [17]
León Begiristain, Olaf Dünkel, Adam Kortylewski
CRONOS is an intervention-based benchmark that evaluates whether video prediction models respond appropriately to controlled changes in visual inputs — testing if models capture causal physical structure rather than superficial…
cs.CVcs.LG
Helix4D: Complex 4D Mesh Generation [18]
Jiraphon Yenphraphai, Jianqi Chen, Jian Wang, Gordon Qian, Sergey Tulyakov
Helix4D adapts Trellis2 from image-to-3D to video-conditioned 4D generation using sliding-window cross-frame attention and a 4D temporal encoding, producing high-quality dynamic meshes with complex topology changes, transparent materials, and inner…
cs.CVcs.GR
On-Policy Adversarial Flow Distillation for Autoregressive Video Generation [19]
Yang Luo, Shengju Qian, Xiaohang Tang, Zirui Zhu, Yong Liu
AFD provides dense velocity-field supervision for distilling black-box video teachers into causal autoregressive students without requiring teacher scores, latents, or step alignment, consistently improving motion- and physics-sensitive generation.
cs.CVcs.LG
TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction [20]
Weijie Wang, Zimu Li, Jinchuan Shi, Zeyu Zhang, Botao Ye
TriSplat represents scenes with oriented triangle primitives that directly export simulation-ready mesh from a single forward pass, producing more geometry-faithful reconstructions than Gaussian methods on RealEstate10K and DL3DV without post-hoc…
cs.CVcs.RO
Pantheon360: Taming Digital Twin Generation via 3D-Aware 360° Video Diffusion [21]
Ting-Hsuan Chen, Ying-Huan Chen, Tao Tu, Jie-Ying Lee, Cho-Ying Wu
Pantheon360 uses an explicit 3D Cache reconstructed from sparse 360° inputs as a geometric scaffold for any user-defined camera path, enabling superior visual quality and unmatched geometric coherence for 360°…
cs.CVcs.GR
HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction [22]
Chong Cheng, Peilin Tao, Nanjie Yao, Guanzhi Ding, Xianda Chen
HorizonStream is a long-horizon Transformer for streaming 3D reconstruction that uses geometric linear attention with channel-wise decay rates and geometric local attention to achieve constant-memory, linear-time reconstruction over 10,000+ frame…
cs.CVcs.RO
ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement [24]
Yufeng Yang, Jianzhuang Liu, Jisheng Chu, Yuqi Peng, Xianfang Zeng
ControlLight enables continuous, user-controllable low-light image enhancement using a misalignment-aware weighted flow matching loss that preserves image structure across varying illumination strengths, achieving state-of-the-art performance with strong generalization.
cs.CVcs.LG
ASASR: Adversarial Sobolev Alignment for Faithful Image Super Resolution [25]
Hongbo Wang, Huaibo Huang, Pin Wang, Jinhua Hao, Chao Zhou
ASASR recasts the generative flow for image super-resolution into Sobolev-induced Riemannian geometry by coloring the noise transition kernel to mirror natural spectral decay, outperforming leading generative baselines in preserving spectral…
cs.CVcs.LG
Geometry-Aware Image Flow Matching [26]
Junho Lee, Kwanseok Kim, Joonseok Lee
SOT-CFM and SFM constrain flow matching dynamics directly on a hypersphere manifold (observed to match natural image geometry), outperforming Euclidean baselines and bridging Riemannian manifold modeling with natural image generation.
cs.CVcs.LG
RTDMD: Reward-Tilted Distribution Matching for Few-step Diffusion Distillation [28]
Yushi Huang, Xiangxin Zhou, Ruoyu Wang, Chi Zhang, Jun Zhang
RTDMD unifies distribution matching distillation with reward-guided RL for few-step flow generators, achieving new state-of-the-art across preference, aesthetic, and compositional metrics with only 4 inference steps on SD3, SD3.5, and…
cs.LGcs.CV
ClaimDiff-RL: Fine-Grained Caption RL through Visual Claim Comparison [29]
Tianle Li, Xuyang Shen, Yan Ma, Rongxin Guo, Shaoxiang Chen
ClaimDiff-RL uses atomic visual claim differences as the reward unit for captioning RL, making hallucinated claims and omitted salient facts separately measurable and tunable, improving the faithfulness-coverage balance over holistic…
cs.CVcs.LG
Pixel-Level Pavement Distress Assessment Using Instance Segmentation [32]
Logan Dewick, Bibesh Pyakurel, Kong Pheng Yang, Nazim Choudhury, M. G. Sarwar Murshed
A Mask R-CNN-based pavement distress analysis system achieves 87.04% F1 score on a custom roadway image dataset, closely matching ground-truth crack-area fraction, demonstrating instance segmentation's practicality for field pavement imagery.
cs.CVcs.Rob
Next-Acceleration-Scale Prediction for Autoregressive MRI Reconstruction [33]
Yilmaz Korkmaz, Vishal M. Patel
This work poses MRI reconstruction as autoregressive next-acceleration-scale prediction in discrete multi-scale latent space using codebook tokens, enabling sharp reconstructions from extremely sparse measurements.
cs.CVcs.LG
SMART: Your Embedding Model is SMARTer Than You Think [35]
Jianrui Zhang, Hyun Jung Lee, Sukanta Ganguly, Tae-Eui Kam, Donghyun Kim
SMART unlocks latent multi-vector capabilities of standard single-vector models by applying late-interaction over frozen hidden states during inference, acting as a plug-and-play upgrade that consistently improves performance across diverse modalities.
cs.CVcs.IR
Good Token Hunting: Token Selection for Visual Geometry Transformers [40]
Shuhong Zheng, Michael Oechsle, Erik Sandström, Marie-Julie Rakotosaona, Federico Tombari
A two-stage token selection framework for visual geometry transformers uses diversity-based inter-frame selection and layer-aware intra-frame sparsification guided by attention entropy, accelerating 3D reconstruction by over 85% while maintaining accuracy.
cs.CVcs.RO

🎓 Google Scholar

Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead [45]
2026-05-26
A systematic quantitative analysis of AI advancements from 2010 onwards using Epoch AI's notable AI models dataset, showing industry has led in notable AI model releases since 2014 over academia.
Google Scholar
Large language models (LLM) in computational social science: prospects, current state, and challenges [46]
2026-05-26
A comprehensive review of LLM applications in computational social science, examining prospects, current state, and challenges including data bias, privacy, and model integration in social research.
Google Scholar
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms [47]
2026-05-26
A comprehensive review covering adversarial AI, automated threat intelligence, and AI-driven security orchestration, examining AI's expanding role in cybersecurity at both offensive and defensive levels.
Google Scholar
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices [48]
2026-05-26
This paper examines the critical need for post-quantum cryptography to secure IoT devices against quantum computer attacks, reviewing lattice-based, hash-based, and code-based post-quantum approaches.
Google Scholar
Quantum machine learning: A comprehensive review of integrating AI with quantum computing [49]
2026-05-26
A comprehensive review of quantum machine learning covering the integration of AI with quantum computing for computational advancements in optimization, drug discovery, and quantum-secured communications.
Google Scholar
Leveraging blockchain and smart contracts to combat greenwashing in sustainable development [50]
2026-05-26
This paper explores how blockchain technology and smart contracts can combat greenwashing in sustainable development by providing transparent, verifiable environmental claims on supply chains.
Google Scholar
When machines join the moral circle: The persona effect of generative AI agents in collaborative reasoning [51]
2026-05-26
This study examines how generative AI agents function as teammates in collaborative reasoning, showing how their persona affects the process and distribution of moral frames among human collaborators.
Google Scholar
Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements [55]
2026-05-26
Machine learning is being applied to catalyst design for methane dry reforming to convert CO2 and methane into useful synthesis gas, addressing atmospheric carbon levels through computational chemistry.
Google Scholar

💬 Hacker News

Insane AI Breakthroughs with Demis Hassabis [video] [52]
2026-05-26
Video interview with Google DeepMind CEO Demis Hassabis discussing recent AI breakthroughs including AlphaFold, Gemini, and the path toward AGI.
Hacker News
Imec builds first High-NA EUV-fabricated quantum dot qubit [53]
2026-05-26
Imec has built the first quantum dot qubit fabricated with High-NA EUV lithography, a breakthrough that could pull quantum computing onto the same manufacturing roadmap as next-gen AI processors.
Hacker News
US's big bet on quantum computing may not be legal [54]
2026-05-26
Ars Technica report on legal questions surrounding the US government's major quantum computing initiative and quantum foundry, questioning the legal basis for the multi-billion dollar program.
Hacker News

🦞 Lobste.rs

Encyclical Letter of His Holiness Leo XIV Magnifica Humanitas [42]
2026-05-25
Pope Leo XIV's encyclical 'Magnifica Humanitas' addresses safeguarding the human person in the age of artificial intelligence, covering themes of human dignity, AI ethics, and governance from the Vatican.
Lobste.rs
The Open/Closed Problem in AI [43]
2026-05-25
A firsthand account from MLSys 2026 observing that the vast majority of ML systems research now focuses on training and using LLMs, with efficiency as the primary concern — reflecting…
Lobste.rs
ChatGPT Won't Let You Type Until Cloudflare Reads Your React State [44]
2026-03-30
A technical analysis of how ChatGPT's interface requires Cloudflare to read user React application state before allowing text input, revealing the architecture of this client-side enforcement mechanism and its privacy…
Lobste.rs

🔗 All Sources

  1. [1] QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks
  2. [2] Decoding the Critique Mechanism in Large Reasoning Models
  3. [3] Foundation Protocol: A Coordination Layer for Agentic Society
  4. [4] Macaron-A2UI: A Model for Generative UI in Personal Agents
  5. [5] Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
  6. [6] The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation
  7. [7] Claw-Anything: Benchmarking Always-On Personal Assistants
  8. [8] ProAct: Anticipate and Learn — Unleashing Idle-Time Compute in Proactive Agents
  9. [9] SEAL: Synergistic Co-Evolution of Agents and Learning Environments
  10. [10] SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking
  11. [11] MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
  12. [12] ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video RL
  13. [13] SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
  14. [14] Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
  15. [15] DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward RL
  16. [16] Toward Native Multimodal Modeling: A Roadmap
  17. [17] CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models
  18. [18] Helix4D: Complex 4D Mesh Generation
  19. [19] On-Policy Adversarial Flow Distillation for Autoregressive Video Generation
  20. [20] TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction
  21. [21] Pantheon360: Taming Digital Twin Generation via 3D-Aware 360° Video Diffusion
  22. [22] HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction
  23. [23] Channel-wise Vector Quantization
  24. [24] ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement
  25. [25] ASASR: Adversarial Sobolev Alignment for Faithful Image Super Resolution
  26. [26] Geometry-Aware Image Flow Matching
  27. [27] InstructSAM: Segment Any Instance with Any Instructions
  28. [28] RTDMD: Reward-Tilted Distribution Matching for Few-step Diffusion Distillation
  1. [29] ClaimDiff-RL: Fine-Grained Caption RL through Visual Claim Comparison
  2. [30] MetaphorVU: Towards Metaphorical Video Understanding
  3. [31] AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
  4. [32] Pixel-Level Pavement Distress Assessment Using Instance Segmentation
  5. [33] Next-Acceleration-Scale Prediction for Autoregressive MRI Reconstruction
  6. [34] Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback
  7. [35] SMART: Your Embedding Model is SMARTer Than You Think
  8. [36] SemBridge: Language Transfer in Sparse Encoders via Multilingual Semantic Bridges
  9. [37] VaaWIT: Visual-Aware Adaptation of LLMs for Multilingual Web Image Translation
  10. [38] Mix-MoE: Improving Multilingual MT of LLMs through Mixed MoEs
  11. [39] UniCharacter: Towards Customized Multimodal Role-Play
  12. [40] Good Token Hunting: Token Selection for Visual Geometry Transformers
  13. [41] WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation
  14. [42] Encyclical Letter of His Holiness Leo XIV Magnifica Humanitas
  15. [43] The Open/Closed Problem in AI
  16. [44] ChatGPT Won't Let You Type Until Cloudflare Reads Your React State
  17. [45] Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead
  18. [46] Large language models (LLM) in computational social science: prospects, current state, and challenges
  19. [47] Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
  20. [48] Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices
  21. [49] Quantum machine learning: A comprehensive review of integrating AI with quantum computing
  22. [50] Leveraging blockchain and smart contracts to combat greenwashing in sustainable development
  23. [51] When machines join the moral circle: The persona effect of generative AI agents in collaborative reasoning
  24. [52] Insane AI Breakthroughs with Demis Hassabis [video]
  25. [53] Imec builds first High-NA EUV-fabricated quantum dot qubit
  26. [54] US's big bet on quantum computing may not be legal
  27. [55] Catalyst breakthroughs in methane dry reforming: Employing machine learning for future advancements
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