Recent Additions: New and Updated Entries in the Past 60 Days
Displaying entries 16 through 30 of 105 found.

Pedia Sapiens: A Planetary Progeny Comes to Her/His Own Actual Factual Twintelligent Knowledge

Borghoff, Uwe, et al. Human-Artificial Interaction in the Age of Agentic AI: A System-Theoretical Approach.. arXiv:2502.14000. University of the Bundeswehr Munich, Sapienza University of Rome and Università degli Studi del Molise, Campobasso, Italy computer scientists add more reasons in support of a best balance of an active person and AI operating system reciprocity.

This paper presents a current perspective on human-computer interaction (HCI) as a dynamic interplay between personal and computational agents as a coordination and communication among heterogeneous individuals. A key distinction is made between multi-agent systems (MAS) and Centaurian systems whereby MAS maintains user cooperation, while the other way melds human and AI. Here we seek to combine them in communication spaces with surface, observation, and computation layers to ensure seamless architectures. (Excerpt)

Eacersall, Douglas, et al. The ETHICAL Framework for Responsible Generative AI Research Use. arXiv:2501.09021. Fifteen Australian cyberscholars across fields from learning methods to nursing schools propose a considerate array of human scale check points to begin to contend with and rein in this regnant future phase of agent-like algorithmic agents and chatty programs.

The rapid adoption of generative artificial intelligence (GenAI) in research presents both opportunities and ethical challenges that should be carefully navigated. Although GenAI tools can enhance research through automation of tasks, their use raises concerns about aspects such as data accuracy, privacy, bias, and research integrity. This paper develops the ETHICAL framework as a practical guide with seven key principles: Examine policies and guidelines, Think about social impacts, Harness understanding of the technology, Indicate use, Critically engage with outputs, Access secure versions, and Look at user agreements. We present this ETHICAL example as a pathway toward responsible innovation in research methodologies. (Excerpt)

Gottweis, Juraj, et al. Towards an AI co-scientist. arXiv:2502.18864. We cite this entry by thirty-four Google Cloud AI Research, Google DeepMind, Houston Methodist, Sequome, Imperial College London and Stanford University scholars as another 2025 version which advocates and describes an intentional, dedicated reciprocity between human persons and computational algorithms.

Scientific discovery advances by novel hypotheses that undergo experimental validation. Here we introduce an AI co-scientist as a multi-agent system built on Gemini 2.0 to help formulate research proposals based on prior evidence and aligned with human guidance. Key features are task execution for flexible scaling and a tournament evolution process. While general purpose, we focus on three biomedical areas: drug repurposing, novel target discovery, and anti-microbial resistance. Our positive results in each instance demonstrate the potential to augment biomedicine and scientific research and usher an era of AI empowered scientists. (Excerpt)

Liu, Ziyin, et al. Systems Neuroscience: Cerebral Form and Perceptive Function Formation of Representations in Neural Networks. .. arXiv:2410.03006. MIT and Texas A&M University neuroscholars including Tomaso Poggio provide a more effective, thorough method to better activate, shepherd and facilitate AI cerebral, informational connectivities.

Better understandings of neural networks and representations will advance a scientific basis of AI systems. Here we propose the Canonical Representation Hypothesis (CRH), by way of alignment relations to govern the formation of perceptions in hidden net layers. Under the CRH, the latent representations (R), weights (W), and neuron gradients (G) become mutually aligned during training. We then show that breaking CRH leads to reciprocal power-law relations between R, W, and G, which we refer to as the Polynomial Alignment Hypothesis (PAH). (Excerpt)

Scheurer, Christoph and Karsten Reuter. Role of the human-in-the-loop in emerging self-driving laboratories for heterogeneous catalysis.. Nature Catalysis. January 29, 2025. We cite this entry by Max Planck Institute researchers as an example of new realizations that AI machinations ought not to be turned loose to run on their own. It After some thirty months of ChatGPTs, a constant reciprocity of AI inputs and human management is seen to achieve a best balance in ethical co-generative applications

Self-driving laboratories (SDLs) represent a convergence of machine learning with laboratory automation which operate in active learning situations as algorithms plan experiments that are carried out by automated (robotic) modules. Here we argue against humans totally out of the loop. We instead conclude that crucial advances will come from fast proxy experiments, existing apparatus with real persons making continuous decision-making. (Excerpt)

Cui, Hao and Taha Yasseri. AI-enhanced collective intelligence.. Patterns. 511, 2024. In this Elsevier journal, University College Dublin sociologists propose another sensible version of optimum individual and group interactivities with properly suitable and managed generative algorithmic learnings and methods.

The challenges facing society today are becoming so complex they surpass what human efforts alone can manage. As artificial intelligence (AI) evolves, some believe that it could bypass human intelligence and solve these problems. Instead, we contend that AI can better enhance personal and group capabilities rather than replace them. People bring intuition, creativity, and diverse experiences, while AI offers computational power and rapid processing. Combining these strengths can create a level of collective intelligence greater than the sum of its parts. (Excerpt)

Complex system thinking has illuminated various biological, physical, and social domains. Based on this, we can model real-world CI systems as multilayer networks. This framework allows us to leverage extensive research on multilayer networks, focusing on their robustness, adaptivity, scalability, resilience, and interoperability. (13

Riedl, Christoph and David De Cremer, eds. The potential and challenges of AI for collective intelligence. Collective Intelligence. February, 2025. Twenty-two practitioners in the UK and USA such as Gina Lucarelli, John Cartlidge and Joan Condell describe how their projects such as PSi: A scalable approach to community-led public decision-making; The AI4CI loop and Perspectives and on the UNDP Accelerator Network are integrating and taking advantage of these novel occasions.

Tackling large scale problems like climate change and the Sustainable Development Goals, requires taking a collective approach. Artificial Intelligence (AI) offers tremendous potential to enhance collective intelligence, both as an actor that contributes to the solution directly, and as a tool and mentor that helps coordinate human collective intelligence. Collective Intelligence invited experts and practitioners to highlight key challenges and explain how they employ AI to advance novel solutions.

Ecosmos: A Revolutionary Fertile, Habitable, Solar-Bioplanet, Incubator Lifescape

Rohde, Peter, et al. The Quantum Internet: The Second Revolution.. arXiv:2501.12107. Seventeen theorists and researchers in Australia, the UK, USA, China, Finland, Japan, United Arab Emirates, Ireland and Singapore post over 370 pages of a most thorough survey of 21st century quantum phenomena to date, which then suggest an array of consequent, beneficial applications and ultimately a global neurosphere. A six page outline courses from Mathematical Foundations to Cloud Quantum Computing and onto New Frontier Essays. As another March madness now sweeps over our auspicious bioworld, at the same while a prodigious Earthica may begin to open and blaze quantum quest frontiers ton a track to a twintelligent Gaiability. See also Quantum Internet: Technologies, Protocols, and Research Challenges by Vinay Kumar, et al at arXiv:2502.01653 for another initiative.

The desire to share and unite remote digital assets facilitated the classical internet. Here we present models for quantum networking, how they might be applied, and their implications. The different scaling in the computational power of quantum computers changes the dynamics of how they will operate. We anticipate cloud quantum computing to outsource quantum computations to the network and foresee future versions united into a global virtual quantum computer. The work is divided into technical sections as well as extensive societal sections for nearer and farther understandings. (Excerpt)

Ebadirad, Saleheh, et al. Archean Methane Cycling and Life's Co-Evolution: Intertwining Early Biogeochemical Processes and Ancient Microbial Metabolism. arXiv:2503.21919. UC Riverside and MIT paleogeologists including Timothy Lyons contribute a comprehensive chapter for the forthcoming Elsevier volume The Archean Earth which describes the importance of an active CH4 presence in that distant era. Once again by a second culture, philoSophia , how curious it is that a consequent fortuitous Gaian bioworld can reconstruct how past ages from which our latest sapient personsphere has arisen. What kind of ecosmic reality needs re-present itself and for what purpose.

This chapter explores the key carbon compounds that shaped the Archean biogeochemical cycle and its impact on Earth's primordial atmosphere and biospheric evolution. Particular emphasis is placed on methane cycling, encompassing both abiotic production and consumption. We also discuss the intertwined evolution of Earth's geochemical environment and microbial life. The interdisciplinary chapter not only sheds light on the complex dynamics of Earth's early ages but also offers critical insights that could inform the search for life beyond our planet. (Excerpt)

The Archean Eon is the second of the four geologic eons of Earth's history, preceded by the Hadeon and followed by the Proterozoic and Phanerozoic eras. The Archean represents the time period from 4,031 to 2,500 million years ago.

Dolaq, Klaus, et al. Encyclopedia Magneticum: Scaling Relations from Cosmic Dawn to Present Day. arXiv:2504.01061. As the quotes and title say, into April 2025, thirteen astroscientists at Ludwig-Maximilians-Universität München, MPI Astrophysik, Institute for Fundamental Physics of the Universe, Trieste and European Southern Observatory as Earthumanity just now becomes able cast back and fill in a long trajectory from earliest times to our intended retrospective witness, description and record. See also The Self-Similar and Non-Linear Behaviour of Large-Scale In- and Outflows from Galaxies to Galaxy Clusters by Benjamin Seidel, et al at arXiv:2503.19956.

Galaxy and halo scaling relations are now well established from observations. But their origin and features remain in question. Here we introduce the Magneticum Pathfinder hydrodynamical cosmological simulation suite that achieves many new resolutions. We analyze 28 scales covering global parameters along with internal halos from massive galaxy clusters down to galaxies. Magneticum Pathfinder matches many observed relations including quiescent galaxies at cosmic dawn, the mass--size evolution, and mass--metallicity and temperature--mass regimes. (Excerpt)

As demonstrated by this long citation list, scaling relations connect a multitude of different galaxy and halo properties, illustrating the complexity of the physical processes that drive structure formation from cosmic dawn to the present day. They prove that the different components of gas, stars, and dark matter are involved in an intricate dance, interacting with one another in sometimes subtle and sometimes visible ways. Disentangling these processes is among the most difficult puzzles that our Universe presents us with. (2)

The Magneticum simulations are aiming to follow the formation of cosmological structures over a large range of cosmological scales by performing a set of hydrodynamical simulations of different cosmological volumes, each of them sampled with a very large number of particles providing excellent spacial resolution of the different simulations. We take many physical processes into account to allow detailed comparisons to a variety of multi-wavelength observational data. (www.magneticum.org/index.html)

Bianconi, Ginestra. Gravity from Entropy. Physical Review D. 111, 066001, 2025. The Queen Mary University of London mathematician continues her luminous theoretic studies by scoping out perceptive pathways to an historic unified synthesis of nature’s deepest fundamental qualities. Science news reports noted the article as a significant contribution.

•
Gravity is seen as derived from an entropic action which couples matter fields with geometry. While the geometry of spacetime is defined by its metric, matter fields can define an alternative metric, which describes the interplay between spacetime and matter. The proposed entropic action is the quantum relative entropy between the metric of spacetime and the metric induced by the matter fields. A canonical quantization of this field theory could bring new insights into quantum gravity and clarify the role that the G-field could have for dark matter. (Abstract)

The relation between general relativity, statistical mechanics and information theory is a central research topic in theoretical physics. Recently, important results have been obtained relating information theory, entanglement entropy and gravity involving the holographic principle, the entanglement properties of quantum field theory and the theory of von Neumann algebras. A comprehensive statistical mechanics approach to gravity can bring conceptual insights into the ultimate theory for black holes, dark matter and quantum phases. (1)

Fullwood, James and Vlatko Vedra. Geometry from quantum temporal correlations. arXiv:2502.13293. As individual and global studies continue apace to quantify the natural essence of a quantum and classical universe, this latest posting by Hainan University, China and Oxford University physicists (search VV) plumbs mathematical depths to an extent that we collaborative peoples seem meant to carry out this vital task of ecosmic self-description. See also Observation of the quantum equivalence principle for matter-waves by Or Dobkowski, et al at arXiv:2502.14535 and Gravity from Entropy by Ginestra Bianconi at arXiv:2408.1439. We note again that into springtime of this year, an increase in sophisticated synthese like these and our PediaPedia Earthica content may inform a consummate, salutary discovery.

In this work, we show how Euclidean 3-space emerges from the structure of quantum temporal correlations associated with Pauli observables on a single qubit. These quantum temporal correlations are independent of the initial state of the qubit, which enables an observer to extract geometric data from sequential measurements without having knowledge of initial conditions. We also suggest that space itself may emerge in such a way, and formulate such a hypothetical phenomenon. (Abstract)

There is a growing consensus in theoretical physics that spacetime is not a primitive notion. In particular, as opposed to a quantization where our quantum descriptions of nature are derived from a classical starting point which assumes the existence of space and time, it is now widely held that these notions imply a more fundamental description of reality, whether it be a quantum description or something else altogether. (1)

Milekhin, Alexey, et al. Observable and computable entanglement in time... arXiv:2502.12240. We include this entry by Institute for Quantum Information and Matter, California Institute of Technology physicists led by John Preskill to record how this prime feature of nature’s deepest phase has become a key significance to quantum computers. Visit the CalTech site below for a full description. But in its materialist mode, a nonlocality between particles over any distance remains inexplicable. Yet if one might now allow a wholly organic, embodied, personal milieu such sensory physiological relativity becomes possible. (As a note, I heard John Bell speak in person at Amherst College in 1990 and recall him softly saying What does it mean that there is something called “quantum” and we are here?)

We propose a novel family of entanglement measures for time-separated subsystems. For relativistic quantum field theories our definition agrees with the analytic continuation from space-like to time-like regions. We provide measurement protocols for the IBM quantum device ibm_sherbrooke for a simple qubit system. (Excerpt)

Entanglement is at the heart of quantum physics and future technologies. When two particles, such as a pair of photons or electrons, become entangled, they remain connected even when separated by vast distances. In the same way that a ballet or tango emerges from individual dancers, entanglement arises from the connection between particles. (Quantum Entanglement Explained in Simple Terms - Caltech Science Exchange)

Gadde, Rohit, et al. Chatbot-assisted quantum chemistry for explicitly solvated molecules.. Chemical Science.. 16/3852, 2025. We cite this article in a Royal Society journal by seven Emory University and Clemson University chemists as an example of 2025 frontiers in this once and future field of materials cocreation and as another instance of a person-platform partnership.

Advanced computational software packages have transformed chemical research by quantum and molecular simulations. However their complications and specialized hardware hinder their use. Here, we introduce AutoSolvateWeb, a chatbot-assisted platform that guides a multistep procedure to configure simulations of explicitly solvated molecules. As a proof of concept, AutoSolvateWeb demonstrates that combining virtual agents with cloud computing can enhance access to sophisticated human-AI research tools. (Excepts)

Szigeti, Balazs, et al. Can universe rotation solve the Hubble Puzzle? Monthly Notices of the Royal Astronomical Society. 538/4, 2025. We cite this entry by Eötvös Loránd University, Budapest and University of Hawaii astrophysicists as an April example of Earthuman abilities to cast our collaborative quantifications to the whole evolutionary ecosmos by which to recognize its movements. How fantastic is it then that a planetary species on a tiny mote can personally and on a planetarity scale explore and learn about such vast reaches. Who are we Earthlings, what is Earthica’s spaceplace, and for what phenomenal reason are we moved and capable to do this?

For a further contrast, we note this paper, Lunar Occultations of Planets and Eclipses of Jupiter's Satellites by the Edinburgh Observatory, in volume 4 of this British journal from 1838 and 187 years later Structure growth in f (Q) cosmology by Shambel Sahlu, Álvaro de la Cruz-Dombriz and Amare Abebe in a 2025 edition (539/2).

The discrepancy between low and high redshift Hubble constant H0 measurements is the highest significance tension within the concordance Lambda cold dark matter paradigm. If not due to unknown systematics, the Hubble Puzzle suggests a lack of understanding of the universe’s expansion history despite the otherwise success of the theory. We show that a Gödel inspired slowly rotating dark-fluid variant of the concordance model resolves this tension.

The Hubble tension, the inconsistency of the late and early time measurements of the universe’s expansion rate, emerges as a chink in the Lambda cold dark matter (⁠ΛCDM) model The discrepancy has reached a 5σ significance between cepheid-calibrated local supernovae and the cosmic microwave background (CMB). The idea that everything revolves naturally extends to the whole universe, based on recent claims of anisotropic Hubble expansion in X-ray observation. (Sample quotes)

Previous   1 | 2 | 3 | 4 | 5 | 6 | 7  Next