Tootfinder

Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research
Yile Yu, Anzhi Xu, Yi Wang
https://arxiv.org/abs/2507.15899 https://

Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research
Causal inference in observational panel data has become a central concern in economics,policy analysis,and the broader social sciences.To address the core contradiction where traditional difference-in-differences (DID) struggles with high-dimensional confounding variables in observational panel data,while machine learning (ML) lacks causal structure interpretability,this paper proposes an innovative framework called S-DIDML that integrates structural identification with high-dimensional estimat…

Accountability of Robust and Reliable AI-Enabled Systems: A Preliminary Study and Roadmap
Filippo Scaramuzza, Damian A. Tamburri, Willem-Jan van den Heuvel
https://arxiv.org/abs/2506.16831

Accountability of Robust and Reliable AI-Enabled Systems: A Preliminary Study and Roadmap
This vision paper presents initial research on assessing the robustness and reliability of AI-enabled systems, and key factors in ensuring their safety and effectiveness in practical applications, including a focus on accountability. By exploring evolving definitions of these concepts and reviewing current literature, the study highlights major challenges and approaches in the field. A case study is used to illustrate real-world applications, emphasizing the need for innovative testing solution…

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Martha Arbayani Zaidan, Naser Hossein Motlagh, Petteri Nurmi, Tareq Hussein, Markku Kulmala, Tuukka Pet\"aj\"a, Sasu Tarkoma
https://arxiv.org/abs/2506.16281

Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Atmospheric sciences are crucial for understanding environmental phenomena ranging from air quality to extreme weather events, and climate change. Recent breakthroughs in sensing, communication, computing, and Artificial Intelligence (AI) have significantly advanced atmospheric sciences, enabling the generation of vast amounts of data through long-term Earth observations and providing powerful tools for analyzing atmospheric phenomena and predicting natural disasters. This paper contributes a c…

Quantencomputer mit Fehlerkorrektur bis 2028: IBM mit ambitionierter Roadmap
IBM will bis 2028 einen Quantencomputer mit Fehlerkorrektur und deutlich höherer Rechenleistung bauen. Der soll über die Cloud verfügbar gemacht werden.

Roadmap and ongoing work in the milestone here: https://github.com/11ty/eleventy/milestone/46

😮‍💨 Carbon 'offsets' aren't working: Researchers offer a 'roadmap' to improve nature-based climate solutions
https://phys.org/news/2025-07-carbon-offsets-roadmap-nature-based.html

Carbon 'offsets' aren't working: Researchers offer a 'roadmap' to improve nature-based climate solutions
A lot of the climate-altering carbon pollution humans release into the atmosphere by burning fossil fuels gets drawn into the Earth's oceans and landscapes through natural processes, mostly through photosynthesis, as plants turn atmospheric carbon dioxide into biomass.

A Roadmap for Climate-Relevant Robotics Research
Alan Papalia, Charles Dawson, Laurentiu L. Anton, Norhan Magdy Bayomi, Bianca Champenois, Jung-Hoon Cho, Levi Cai, Joseph DelPreto, Kristen Edwards, Bilha-Catherine Githinji, Cameron Hickert, Vindula Jayawardana, Matthew Kramer, Shreyaa Raghavan, David Russell, Shide Salimi, Jingnan Shi, Soumya Sudhakar, Yanwei Wang, Shouyi Wang, Luca Carlone, Vijay Kumar, Daniela Rus, John E. Fernandez, Cathy Wu, George Kantor, Derek Young, Hanumant Sin…

A Roadmap for Climate-Relevant Robotics Research
Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact opportunities for collaboration between roboticists and experts across climate domains such as energy, the built environment, transportation, industry, land use, and Earth sciences. These applications include problems such as energy systems optimization, construct…

Roadmap zu Smart Glasses: Was Apple angeblich bei VR- und KI-Brillen plant
Apple arbeitet angeblich an mindestens fünf Computerbrillen, die die Vision-Sparte ankurbeln sollen. Problemkinder sind Siri und KI.

👀 Forgejo's "Roadmap for Federation" https://codeberg.org/forgejo-contrib/federation/src/branch/main/FederationRoadmap.md — still looks like a lot of work need to be done 🥲

federation/FederationRoadmap.md at main
federation

"Carbon 'offsets' aren't working: Researchers offer a 'roadmap' to improve nature-based climate solutions"
#Climate #ClimateChange #Emissions

Carbon 'offsets' aren't working: Researchers offer a 'roadmap' to improve nature-based climate solutions
A lot of the climate-altering carbon pollution humans release into the atmosphere by burning fossil fuels gets drawn into the Earth's oceans and landscapes through natural processes, mostly through photosynthesis, as plants turn atmospheric carbon dioxide into biomass.

Panel to create roadmap for establishing US Cyber Force https://therecord.media/panel-to-create-roadmap-cyber-force

Two things can be true, even if they seem in opposition.
Hitler's race law was based on Jim Crow. Lebensraum was a direct translation of Manifest Destiny to Europe. The genocide of indigenous Americans was the inspiration and roadmap for the Holocaust. Red Summer was a genocide event. Chinese exclusion was a genocide event. The genocide of indigenous Americans continued, and the Dakota Access Pipeline is an example of that continuance.
And... Trumpian fascism is new phase of America that's markedly different than anything that anyone alive had ever experienced. Trump was inspired by Hitler's speeches and read them regularly. He admires Hitler and tries to emulate him. The language he used during his first campaign were developed by Neonazi groups like Aryan Brotherhood working with the KKK. His image was shaped by white and Christian nationalists, as is his platform today. He is a new and more dangerous kind of monster. The death camps are new. The scale of what's happening is new. The concentration of power is new.
These can both be true, and are.
#USPol

London-based Definely, whose AI tools help law firms draft and review legal contracts, raised a $30M Series B led by Revaia, with Clio and others participating (Cate Lawrence/Tech.eu)
https://tech.eu/2025/06/09/uk-legaltech-de…

UK legaltech Definely secures $30M to boost global reach and AI development
UK legaltech company Definely has raised $30 million in Series B funding to accelerate its global expansion and AI product roadmap. This additional funding brings the total amount raised by Definely since its inception to $40 million. Launched in 2020 by Nnamdi Emelifeonwu and Feargus MacDaei, Definely was born from lived experience, including that of co-founder MacDaeid, who is registered blind after being diagnosed with a degenerative eye condition at age 11. Throughout his life, he consiste…

"Trump's federalization of the Metropolitan Police Department has a 30-day limit unless Congress extends it — and the president indicated on Wednesday he'll push for a "long-term extension" in a crime bill that'll initially concern D.C. but will serve as a roadmap for other cities."
DC 24/7 federal patrols start: Religious leaders slam Trump crime crackdown
https://www.axios.com/2025/08/14/trump-dc-national-guard-police-religous-leaders-photos

Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems
Ahmad Farooq, Kamran Iqbal
https://arxiv.org/abs/2508.05846 https://arxiv.org/pdf…

Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems
As artificial intelligence (AI) and robotics increasingly permeate society, ensuring the ethical behavior of these systems has become paramount. This paper contends that transparency in AI decision-making processes is fundamental to developing trustworthy and ethically aligned robotic systems. We explore how transparency facilitates accountability, enables informed consent, and supports the debugging of ethical algorithms. The paper outlines technical, ethical, and practical challenges in imple…

What an exciting WWDC25! Liquid Glass. Foundation Models. iPad windows.
After WWDC, we like to take a moment. To quote one of the great philosophers of the '80s, Ferris Bueller, "Life moves pretty fast. If you don't stop and look around once in a while, you could miss it."
Today, we share our post-WWDC roadmap update for @…

Roadmap for electronic structure, anharmonicity, and electron-phonon calculations in locally disordered inorganic and hybrid halide perovskites
Marios Zacharias, George Volonakis, Laurent Pedesseau, Claudine Katan, Feliciano Giustino, Jacky Even
https://arxiv.org/abs/2506.10402

Roadmap for electronic structure, anharmonicity, and electron-phonon calculations in locally disordered inorganic and hybrid halide perovskites
The role of data in modern materials science becomes more valuable and accurate when effects such as electron-phonon coupling and anharmonicity are included, providing a more realistic representation of finite-temperature material behavior. Furthermore, positional polymorphism, characterized by correlated local atomic disorder usually not reported by standard diffraction techniques, is a critical yet underexplored factor in understanding the electronic structure and transport properties of ener…

Great to see some good news coming out of Peloton. And new products in the roadmap! https://theclipout.com/peloton-fall-refresh/

Nonlinear smoothing implies improved lower bounds on the radius of spatial analyticity for nonlinear dispersive equations
Mikaela Baldasso, Sim\~ao Correia
https://arxiv.org/abs/2507.13083

Nonlinear smoothing implies improved lower bounds on the radius of spatial analyticity for nonlinear dispersive equations
We provide a roadmap to establish improved lower bounds on the decay rate of the uniform radius of analyticity $σ(T)$ for a given nonlinear dispersive equation, reducing the problem to the derivation of nonlinear smoothing estimates with a specific distribution of extra derivatives. We apply this strategy for both the defocusing generalized KdV and the nonlinear Schrödinger equations with odd pure-power nonlinearity. For both equations, we reach the lower bound $σ(T)\gtrsim T^{-\frac{1}{2}-�…

What I don't hear from the #establishment #Democrats is any discussion about how to actually reach out and #TalkWithVoters (They talk TO voters, but it's not a dialogue (they talk AT voters?)…

Future-proofing crops against climate change is crucial for food security. Scientists are developing innovative solutions, but public investment is needed to bring them to fruition. #climatechange #climatesolutions

To future-proof crops, science is half the battle. The other half is getting existing solutions into the field.
A new paper offers a roadmap for integrating crop resilience and carbon mitigation into national and global climate strategies.

Oh? 😏😏
https://macaw.social/@mergesort/115028469127154952

Joe Fabisevich :verified: (@mergesort@macaw.social)
Attached: 2 images Threads continues to ship one feature after another from the idealized roadmap I left for my coworkers at Twitter when I left the company back in 2022. https://fabisevi.ch/2022/04/01/goodbye-fellow-tweeps

We've Issued Our First IP Address Certificate
#LetsEncrypt

scikit-package -- software packaging standards and roadmap for sharing reproducible scientific software
S. Lee, C. Myers, A. Yang, T. Zhang, S. J. L. Billinge
https://arxiv.org/abs/2507.03328

scikit-package -- software packaging standards and roadmap for sharing reproducible scientific software
Scientific advancement relies on the ability to share and reproduce results. When data analysis or calculations are carried out using software written by scientists there are special challenges around code versions, quality and code sharing. scikit-package provides a roadmap to facilitate code reuse and sharing with minimal effort through tutorials coupled with automated and centralized reusable workflows. The goal of the project is to provide pedagogical and practical tools for scientists who …

Any tech prophecy that throws out the time frame of “5 to 10 years” should immediately be suspect, especially if no roadmap is given.
A 5 to 10-year timeframe is what investors want to hear.
Update: This is concerning the 60 Minutes fluff piece with Google’s DeepMind—just embarrassingly bad and uncritical journalism. I’m typically a fan of 60 Minutes, but this was not good.

from my link log —
Roadmap towards the redefinition of the second.
https://iopscience.iop.org/article/10.1088/1681-7575/ad17d2
saved 2025-06-16

Deep Research Agents: A Systematic Examination And Roadmap
Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang
https://arxiv.org/abs/2506.18096

Deep Research Agents: A Systematic Examination And Roadmap
The rapid progress of Large Language Models (LLMs) has given rise to a new category of autonomous AI systems, referred to as Deep Research (DR) agents. These agents are designed to tackle complex, multi-turn informational research tasks by leveraging a combination of dynamic reasoning, adaptive long-horizon planning, multi-hop information retrieval, iterative tool use, and the generation of structured analytical reports. In this paper, we conduct a detailed analysis of the foundational technolo…

This https://arxiv.org/abs/2506.05376 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

A Red Teaming Roadmap Towards System-Level Safety
Large Language Model (LLM) safeguards, which implement request refusals, have become a widely adopted mitigation strategy against misuse. At the intersection of adversarial machine learning and AI safety, safeguard red teaming has effectively identified critical vulnerabilities in state-of-the-art refusal-trained LLMs. However, in our view the many conference submissions on LLM red teaming do not, in aggregate, prioritize the right research problems. First, testing against clear product safety …

IBM plans to build IBM Quantum Starling, a "fault-tolerant" quantum computer with 20,000x the power of today's quantum computers, in New York state by 2029 (Wall Street Journal)
https://www.wsj.com…

Runaway electron-induced plasma facing component damage in tokamaks
S. Ratynskaia, M. Hoelzl, E. Nardon, P. Aleynikov, F. J. Artola, V. Bandaru, M. Beidler, B. Breizman, D. del-Castillo-Negrete, M. De Angeli, V. Dimitriou, R. Ding, J. Eriksson, O. Ficker, R. S. Granetz, E. Hollmann, M. Hoppe, M. Houry, I. Jepu, H. R. Koslowski, C. Liu, J. R. Martin-Solis, G. Pautasso, Y. Peneliau, R. A. Pitts, G. I. Pokol, C. Reux, U. Sheikh, S. A. Silburn, T. Tang, R. A. Tinguely, P. Tolias, E. Tomeso…

Runaway electron-induced plasma facing component damage in tokamaks
This Roadmap article addresses the critical and multifaceted challenge of plasma-facing component (PFC) damage caused by runaway electrons (REs) in tokamaks, a phenomenon that poses a significant threat to the viability and longevity of future fusion reactors such as ITER and DEMO. The dramatically increased RE production expected in future high-current tokamaks makes it difficult to avoid or mitigate REs when a plasma discharge terminates abnormally. Preventing damage from the intense localise…

Ab-initio-NEGF Fundamental Roadmap for Carbon-Nanotube and Two-Dimensional-Material MOSFETs at the Scaling and VDD Limit
Aryan Afzalian
https://arxiv.org/abs/2507.00599

Ab-initio-NEGF Fundamental Roadmap for Carbon-Nanotube and Two-Dimensional-Material MOSFETs at the Scaling and VDD Limit
Using accurate Hybrid-Functional DFT coupled with the Non-Equilibrium Green's function (NEGF) formalism, we explore and benchmark the fundamental scaling limits of CNT-FETs against Si and 2D-material MoS$_2$ and HfS$_2$ Nanosheets, highlighting their potential for gate length (L) and supply voltage (VDD) scaling down to 5 nm and to 0.5 V, respectively. The highest drive current is achieved by CNT-FETs with sub 1.3 nm diameters down to $L = 9$ nm and using VDD in the 0.45-0.5V range. Below $L = …

Towards Memory Specialization: A Case for Long-Term and Short-Term RAM
Peijing Li, Muhammad Shahir Abdurraman, Rachel Cleaveland, Sergey Legtchenko, Philip Levis, Ioan Stefanovici, Thierry Tambe, David Tennenhouse, Caroline Trippel
https://arxiv.org/abs/2508.02992

Towards Memory Specialization: A Case for Long-Term and Short-Term RAM
Both SRAM and DRAM have stopped scaling: there is no technical roadmap to reduce their cost (per byte/GB). As a result, memory now dominates system cost. This paper argues for a paradigm shift from today's simple memory hierarchy toward specialized memory architectures that exploit application-specific access patterns. Rather than relying solely on traditional off-chip DRAM and on-chip SRAM, we envisage memory systems equipped with additional types of memory whose performance trade-offs benefit…

A roadmap for AI in robotics
Aude Billard, Alin Albu-Schaeffer, Michael Beetz, Wolfram Burgard, Peter Corke, Matei Ciocarlie, Ravinder Dahiya, Danica Kragic, Ken Goldberg, Yukie Nagai, Davide Scaramuzza
https://arxiv.org/abs/2507.19975

A roadmap for AI in robotics
AI technologies, including deep learning, large-language models have gone from one breakthrough to the other. As a result, we are witnessing growing excitement in robotics at the prospect of leveraging the potential of AI to tackle some of the outstanding barriers to the full deployment of robots in our daily lives. However, action and sensing in the physical world pose greater and different challenges than analysing data in isolation. As the development and application of AI in robotic product…

Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation
Mihaela van der Schaar, Richard Peck, Eoin McKinney, Jim Weatherall, Stuart Bailey, Justine Rochon, Chris Anagnostopoulos, Pierre Marquet, Anthony Wood, Nicky Best, Harry Amad, Julianna Piskorz, Krzysztof Kacprzyk, Rafik Salama, Christina Gunther, Francesca Frau, Antoine Pugeat, Ramon Hernandez

Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation
This manifesto represents a collaborative vision forged by leaders in pharmaceuticals, consulting firms, clinical research, and AI. It outlines a roadmap for two AI technologies - causal inference and digital twins - to transform clinical trials, delivering faster, safer, and more personalized outcomes for patients. By focusing on actionable integration within existing regulatory frameworks, we propose a way forward to revolutionize clinical research and redefine the gold standard for clinical …

A survey on proximity monitoring and warning in construction
Yuexiong Ding, Qiong Liu, Ankang Ji, Xiaowei Luo, Wen Yi, Albert P. C. Chan
https://arxiv.org/abs/2508.00862 https:/…

A survey on proximity monitoring and warning in construction
Various technologies have been applied to monitor the proximity between two construction entities, preventing struck-by accidents and thereby enhancing onsite safety. This study comprehensively reviews related efforts dedicated to proximity monitoring and warning (PMW) based on 97 relevant articles published between 2010 and 2024. The bibliometric analysis reveals the technical roadmap over time, as well as the five most influential leaders and the two largest research networks they have establ…

"UK government unveils solar roadmap, outlines steps to 47 GW by 2030"
#UK #UnitedKingdom #SolarPower #Energy

UK government unveils solar roadmap, outlines steps to 47 GW by 2030
The UK government has published its plan to support solar deployment to 2030 and beyond. Policies include updating the Contracts for Difference (CfD) scheme, a safety review of plug-in solar for balconies and rooftops, consulting on car park solar, and engaging with industry on skills and training.

Open problems in ageing science: A roadmap for biogerontology
Angelo Talay, Aleksey V. Belikov, Paul Ka Po To, Hamid H. Alfatemi, Uri Alon, Joris Deelen, Collin Y. Ewald, David Gems, Vera Gorbunova, Jan Gruber, Sara H\"agg, John Hemming, Steve Horvath, Alaattin Kaya, Caitlin J. Lewis, Andrea Maier, Maria B Marinova, Graham Pawelec, Shahaf Peleg, Suresh Rattan, Morten Scheibye-Knudsen, Tomas Schmauck-Medina, Vardan Saroyan, Andrei Seluanov, Alexandra Stolzing, Emma Teeling, Robert …

Open problems in ageing science: A roadmap for biogerontology
The field of ageing science has gone through remarkable progress in recent decades, yet many fundamental questions remain unanswered or unexplored. Here we present a curated list of 100 open problems in ageing and longevity science. These questions were collected through community engagement and further analysed using Natural Language Processing to assess their prevalence in the literature and to identify both well-established and emerging research gaps. The final list is categorized into diffe…

Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models
Boyuan Zheng, Zerui Fang, Zhe Xu, Rui Wang, Yiwen Chen, Cunshi Wang, Mengwei Qu, Lei Lei, Zhen Feng, Yan Liu, Yuyang Li, Mingzhou Tan, Jiaji Wu, Jianwei Shuai, Jia Li, Fangfu Ye
https://arxiv.org/abs/2506.23692

Agent4S: The Transformation of Research Paradigms from the Perspective of Large Language Models
While AI for Science (AI4S) serves as an analytical tool in the current research paradigm, it doesn't solve its core inefficiency. We propose "Agent for Science" (Agent4S)-the use of LLM-driven agents to automate the entire research workflow-as the true Fifth Scientific Paradigm. This paper introduces a five-level classification for Agent4S, outlining a clear roadmap from simple task automation to fully autonomous, collaborative "AI Scientists." This framework defines the next revolutionary ste…

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery
Rafael Ferreira da Silva, Milad Abolhasani, Dionysios A. Antonopoulos, Laura Biven, Ryan Coffee, Ian T. Foster, Leslie Hamilton, Shantenu Jha, Theresa Mayer, Benjamin Mintz, Robert G. Moore, Salahudin Nimer, Noah Paulson, Woong Shin, Frederic Suter, Mitra Taheri, Michela Taufer, Newell R. Washburn

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery
Scientific discovery is being revolutionized by AI and autonomous systems, yet current autonomous laboratories remain isolated islands unable to collaborate across institutions. We present the Autonomous Interconnected Science Lab Ecosystem (AISLE), a grassroots network transforming fragmented capabilities into a unified system that shorten the path from ideation to innovation to impact and accelerates discovery from decades to months. AISLE addresses five critical dimensions: (1) cross-institu…

This https://arxiv.org/abs/2502.19617 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Image-Based Roadmaps for Vision-Only Planning and Control of Robotic Manipulators
This work presents a motion planning framework for robotic manipulators that computes collision-free paths directly in image space. The generated paths can then be tracked using vision-based control, eliminating the need for an explicit robot model or proprioceptive sensing. At the core of our approach is the construction of a roadmap entirely in image space. To achieve this, we explicitly define sampling, nearest-neighbor selection, and collision checking based on visual features rather than g…

Exploring Developer Experience Factors in Software Ecosystems
Rodrigo Oliveira Zacarias, L\'eo Carvalho Ramos Antunes, M\'arcio de Oliveira Barros, Rodrigo Pereira dos Santos, Patricia Lago
https://arxiv.org/abs/2506.19757

Exploring Developer Experience Factors in Software Ecosystems
Context: Developer experience (DX) plays a key role in developers' performance and their continued involvement in a software ecosystem (SECO) platform. While researchers and practitioners have recognized several factors affecting DX in SECO platforms, a clear roadmap of the most influential factors is still missing. This is particularly important given the direct impact on developers' interest in SECO and their ongoing engagement with the common technological platform. Goal: This work aims to i…