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business#llm🏛️ OfficialAnalyzed: Jan 16, 2026 01:19

Google Gemini Secures Massive Deal, Shaping the Future of AI!

Published:Jan 16, 2026 00:12
1 min read
r/OpenAI

Analysis

The news that Google Gemini is securing a substantial deal is a huge win for the AI landscape! This move could unlock groundbreaking advancements and accelerate the development of innovative applications we can't even imagine yet. It signals a shift in the competitive landscape, promising exciting new possibilities.

Key Takeaways

Reference

I'm shocked Sam turned down this deal given the AI race he is in at the moment.

product#agent📝 BlogAnalyzed: Jan 14, 2026 01:45

AI-Powered Procrastination Deterrent App: A Shocking Solution

Published:Jan 14, 2026 01:44
1 min read
Qiita AI

Analysis

This article describes a unique application of AI for behavioral modification, raising interesting ethical and practical questions. While the concept of using aversive stimuli to enforce productivity is controversial, the article's core idea could spur innovative applications of AI in productivity and self-improvement.
Reference

I've been there. Almost every day.

Analysis

This article presents a hypothetical scenario, posing a thought experiment about the potential impact of AI on human well-being. It explores the ethical considerations of using AI to create a drug that enhances happiness and calmness, addressing potential objections related to the 'unnatural' aspect. The article emphasizes the rapid pace of technological change and its potential impact on human adaptation, drawing parallels to the industrial revolution and referencing Alvin Toffler's 'Future Shock'. The core argument revolves around the idea that AI's ultimate goal is to improve human happiness and reduce suffering, and this hypothetical drug is a direct manifestation of that goal.
Reference

If AI led to a new medical drug that makes the average person 40 to 50% more calm and happier, and had fewer side effects than coffee, would you take this new medicine?

Analysis

This paper explores a multivariate gamma subordinator and its time-changed variant, providing explicit formulas for key properties like Laplace-Stieltjes transforms and probability density functions. The application to a shock model suggests potential practical relevance.
Reference

The paper derives explicit expressions for the joint Laplace-Stieltjes transform, probability density function, and governing differential equations of the multivariate gamma subordinator.

Coronal Shock and Solar Eruption Analysis

Published:Dec 31, 2025 09:48
1 min read
ArXiv

Analysis

This paper investigates the relationship between coronal shock waves, solar energetic particles, and radio emissions during a powerful solar eruption on December 31, 2023. It uses a combination of observational data and simulations to understand the physical processes involved, particularly focusing on the role of high Mach number shock regions in energetic particle production and radio burst generation. The study provides valuable insights into the complex dynamics of solar eruptions and their impact on the heliosphere.
Reference

The study provides additional evidence that high-$M_A$ regions of coronal shock surface are instrumental in energetic particle phenomenology.

3D MHD Modeling of Solar Flare Heating

Published:Dec 30, 2025 23:13
1 min read
ArXiv

Analysis

This paper investigates the mechanisms behind white-light flares (WLFs), a type of solar flare that exhibits significant brightening in visible light. It uses 3D radiative MHD simulations to model electron-beam heating and compare the results with observations. The study's importance lies in its attempt to understand the complex energy deposition and transport processes in solar flares, particularly the formation of photospheric brightenings, which are not fully explained by existing models. The use of 3D simulations and comparison with observational data from HMI are key strengths.
Reference

The simulations produce strong upper-chromospheric heating, multiple shock fronts, and continuum enhancements up to a factor of 2.5 relative to pre-flare levels, comparable to continuum enhancements observed during strong X-class white-light flares.

Turbulence Wrinkles Shocks: A New Perspective

Published:Dec 30, 2025 19:03
1 min read
ArXiv

Analysis

This paper addresses the discrepancy between the idealized planar view of collisionless fast-magnetosonic shocks and the observed corrugated structure. It proposes a linear-MHD model to understand how upstream turbulence drives this corrugation. The key innovation is treating the shock as a moving interface, allowing for a practical mapping from upstream turbulence to shock surface deformation. This has implications for understanding particle injection and radiation in astrophysical environments like heliospheric and supernova remnant shocks.
Reference

The paper's core finding is the development of a model that maps upstream turbulence statistics to shock corrugation properties, offering a practical way to understand the observed shock structures.

Analysis

This paper investigates the synchrotron self-Compton (SSC) spectrum within the ICMART model, focusing on how the magnetization parameter affects the broadband spectral energy distribution. It's significant because it provides a new perspective on GRB emission mechanisms, particularly by analyzing the relationship between the flux ratio (Y) of synchrotron and SSC components and the magnetization parameter, which differs from internal shock model predictions. The application to GRB 221009A demonstrates the model's ability to explain observed MeV-TeV observations, highlighting the importance of combined multi-wavelength observations in understanding GRBs.
Reference

The study suggests $σ_0\leq20$ can reproduce the MeV-TeV observations of GRB 221009A.

Analysis

This paper uses ALMA observations of SiO emission to study the IRDC G035.39-00.33, providing insights into star formation and cloud formation mechanisms. The identification of broad SiO emission associated with outflows pinpoints active star formation sites. The discovery of arc-like SiO structures suggests large-scale shocks may be shaping the cloud's filamentary structure, potentially triggered by interactions with a Supernova Remnant and an HII region. This research contributes to understanding the initial conditions for massive star and cluster formation.
Reference

The presence of these arc-like morphologies suggests that large-scale shocks may have compressed the gas in the surroundings of the G035.39-00.33 cloud, shaping its filamentary structure.

Analysis

This paper investigates the impact of the momentum flux ratio (J) on the breakup mechanism, shock structures, and unsteady interactions of elliptical liquid jets in a supersonic cross-flow. The study builds upon previous research by examining how varying J affects atomization across different orifice aspect ratios (AR). The findings are crucial for understanding and potentially optimizing fuel injection processes in supersonic combustion applications.
Reference

The study finds that lower J values lead to greater unsteadiness and larger Rayleigh-Taylor waves, while higher J values result in decreased unsteadiness and smaller, more regular Rayleigh-Taylor waves.

Analysis

This paper challenges the conventional wisdom that exogenous product characteristics are necessary for identifying differentiated product demand. It proposes a method using 'recentered instruments' that combines price shocks and endogenous characteristics, offering a potentially more flexible approach. The core contribution lies in demonstrating identification under weaker assumptions and introducing the 'faithfulness' condition, which is argued to be a technical, rather than economic, restriction. This could have significant implications for empirical work in industrial organization, allowing researchers to identify demand functions in situations where exogenous characteristic data is unavailable or unreliable.
Reference

Price counterfactuals are nonparametrically identified by recentered instruments -- which combine exogenous shocks to prices with endogenous product characteristics -- under a weaker index restriction and a new condition we term faithfulness.

Paper#AI for PDEs🔬 ResearchAnalyzed: Jan 3, 2026 16:11

PGOT: Transformer for Complex PDEs with Geometry Awareness

Published:Dec 29, 2025 04:05
1 min read
ArXiv

Analysis

This paper introduces PGOT, a novel Transformer architecture designed to improve PDE modeling, particularly for complex geometries and large-scale unstructured meshes. The core innovation lies in its Spectrum-Preserving Geometric Attention (SpecGeo-Attention) module, which explicitly incorporates geometric information to avoid geometric aliasing and preserve critical boundary information. The spatially adaptive computation routing further enhances the model's ability to handle both smooth regions and shock waves. The consistent state-of-the-art performance across benchmarks and success in industrial tasks highlight the practical significance of this work.
Reference

PGOT achieves consistent state-of-the-art performance across four standard benchmarks and excels in large-scale industrial tasks including airfoil and car designs.

Analysis

This paper investigates the use of quasi-continuum models to approximate and analyze discrete dispersive shock waves (DDSWs) and rarefaction waves (RWs) in Fermi-Pasta-Ulam (FPU) lattices with Hertzian potentials. The authors derive and analyze Whitham modulation equations for two quasi-continuum models, providing insights into the dynamics of these waves. The comparison of analytical solutions with numerical simulations demonstrates the effectiveness of the models.
Reference

The paper demonstrates the impressive performance of both quasi-continuum models in approximating the behavior of DDSWs and RWs.

Marketing#Advertising📝 BlogAnalyzed: Dec 27, 2025 21:31

Accident Reports Hamburg, Munich & Cologne – Why ZK Unfallgutachten GmbH is Your Reliable Partner

Published:Dec 27, 2025 21:13
1 min read
r/deeplearning

Analysis

This is a promotional post disguised as an informative article. It highlights the services of ZK Unfallgutachten GmbH, a company specializing in accident reports in Germany, particularly in Hamburg, Munich, and Cologne. The post aims to attract customers by emphasizing the importance of professional accident reports in ensuring fair compensation and protecting one's rights after a car accident. While it provides a brief overview of the company's services, it lacks in-depth analysis or objective information about accident report procedures or alternative providers. The post's primary goal is marketing rather than providing neutral information.
Reference

A traffic accident is always an exceptional situation. In addition to the shock and possible damage to the vehicle, those affected are often faced with many open questions: Who bears the costs? How high is the damage really? And how do you ensure that your own rights are fully protected?

Research#llm📝 BlogAnalyzed: Dec 27, 2025 20:00

How Every Intelligent System Collapses the Same Way

Published:Dec 27, 2025 19:52
1 min read
r/ArtificialInteligence

Analysis

This article presents a compelling argument about the inherent vulnerabilities of intelligent systems, be they human, organizational, or artificial. It highlights the critical importance of maintaining synchronicity between perception, decision-making, and action in the face of a constantly changing environment. The author argues that over-optimization, delayed feedback loops, and the erosion of accountability can lead to a disconnect from reality, ultimately resulting in system failure. The piece serves as a cautionary tale, urging us to prioritize reality-correcting mechanisms and adaptability in the design and management of complex systems, including AI.
Reference

Failure doesn’t arrive as chaos—it arrives as confidence, smooth dashboards, and delayed shock.

Research#llm🏛️ OfficialAnalyzed: Dec 27, 2025 08:02

OpenAI in 2025: GPT-5's Arrival, Reorganization, and the Shock of "Code Red"

Published:Dec 27, 2025 07:00
1 min read
Zenn OpenAI

Analysis

This article analyzes OpenAI's tumultuous year in 2025, focusing on the challenges it faced in maintaining its dominance. It highlights the release of new models like Operator and GPT-4.5, and the internal struggles that led to a declared "Code Red" situation by CEO Sam Altman. The article promises a chronological analysis of these events, suggesting a deep dive into the technological limitations, user psychology, and competitive pressures that OpenAI encountered. The use of "Code Red" implies a significant crisis or turning point for the company.

Key Takeaways

Reference

2025 was a turbulent year for OpenAI, facing three walls: technological limitations, user psychology, and the fierce pursuit of competitors.

Analysis

This paper introduces a novel method for measuring shock wave motion using event cameras, addressing challenges in high-speed and unstable environments. The use of event cameras allows for high spatiotemporal resolution, enabling detailed analysis of shock wave behavior. The paper's strength lies in its innovative approach to data processing, including polar coordinate encoding, ROI extraction, and iterative slope analysis. The comparison with pressure sensors and empirical formulas validates the accuracy of the proposed method.
Reference

The results of the speed measurement are compared with those of the pressure sensors and the empirical formula, revealing a maximum error of 5.20% and a minimum error of 0.06%.

Analysis

This paper investigates the potential for detecting gamma-rays and neutrinos from the upcoming outburst of the recurrent nova T Coronae Borealis (T CrB). It builds upon the detection of TeV gamma-rays from RS Ophiuchi, another recurrent nova, and aims to test different particle acceleration mechanisms (hadronic vs. leptonic) by predicting the fluxes of gamma-rays and neutrinos. The study is significant because T CrB's proximity to Earth offers a better chance of detecting these elusive particles, potentially providing crucial insights into the physics of nova explosions and particle acceleration in astrophysical environments. The paper explores two acceleration mechanisms: external shock and magnetic reconnection, with the latter potentially leading to a unique temporal signature.
Reference

The paper predicts that gamma-rays are detectable across all facilities for the external shock model, while the neutrino detection prospect is poor. In contrast, both IceCube and KM3NeT have significantly better prospects for detecting neutrinos in the magnetic reconnection scenario.

Energy#Energy Efficiency📰 NewsAnalyzed: Dec 26, 2025 13:05

Unplugging these 7 common household devices easily reduced my electricity bill

Published:Dec 26, 2025 13:00
1 min read
ZDNet

Analysis

This article highlights a practical and easily implementable method for reducing energy consumption and lowering electricity bills. The focus on "vampire devices" is effective in drawing attention to the often-overlooked energy drain caused by devices in standby mode. The article's value lies in its actionable advice, empowering readers to take immediate steps to save money and reduce their environmental impact. However, the article could be strengthened by providing specific data on the average energy consumption of these devices and the potential cost savings. It would also benefit from including information on how to identify vampire devices and alternative solutions, such as using smart power strips.
Reference

You might be shocked at how many 'vampire devices' could be in your home, silently draining power.

Research#physics🔬 ResearchAnalyzed: Jan 4, 2026 10:35

Acoustic Black Holes in a Shock-Wave Exciton-Polariton Condensate

Published:Dec 26, 2025 10:10
1 min read
ArXiv

Analysis

This article, sourced from ArXiv, likely presents research on the creation and study of acoustic black holes using exciton-polariton condensates. The focus is on the interaction of shock waves within this system, potentially exploring phenomena related to black hole physics in a condensed matter context. The use of ArXiv suggests a peer-review process is pending or has not yet occurred, so the findings should be considered preliminary.

Key Takeaways

    Reference

    Analysis

    This paper investigates the generation of solar type II radio bursts, which are emissions caused by electrons accelerated by coronal shocks. It combines radio observations with MHD simulations to determine the location and properties of these shocks, focusing on their role in CME-driven events. The study's significance lies in its use of radio imaging data to pinpoint the radio source positions and derive shock parameters like Alfvén Mach number and shock obliquity. The findings contribute to a better understanding of the complex shock structures and the interaction between CMEs and coronal streamers.
    Reference

    The study found that type II bursts are located near or inside coronal streamers, with super-critical shocks (3.6 ≤ MA ≤ 6.4) at the type II locations. It also suggests that CME-streamer interaction regions are necessary for the generation of type II bursts.

    Analysis

    This paper explores the application of Conditional Restricted Boltzmann Machines (CRBMs) for analyzing financial time series and detecting systemic risk regimes. It extends the traditional use of RBMs by incorporating autoregressive conditioning and Persistent Contrastive Divergence (PCD) to model temporal dependencies. The study compares different CRBM architectures and finds that free energy serves as a robust metric for regime stability, offering an interpretable tool for monitoring systemic risk.
    Reference

    The model's free energy serves as a robust, regime stability metric.

    Magnetic Field Dissipation in Heliosheath Improves Model Accuracy

    Published:Dec 25, 2025 14:26
    1 min read
    ArXiv

    Analysis

    This paper addresses a significant discrepancy between global heliosphere models and Voyager data regarding magnetic field behavior in the inner heliosheath (IHS). The models overestimate magnetic field pile-up, while Voyager observations show a gradual increase. The authors introduce a phenomenological term to the magnetic field induction equation to account for magnetic energy dissipation due to unresolved current sheet dynamics, a computationally efficient approach. This is a crucial step in refining heliosphere models and improving their agreement with observational data, leading to a better understanding of the heliosphere's structure and dynamics.
    Reference

    The study demonstrates that incorporating a phenomenological dissipation term into global heliospheric models helps to resolve the longstanding discrepancy between simulated and observed magnetic field profiles in the IHS.

    Elemental Spectral Index Variations in Cosmic Rays

    Published:Dec 25, 2025 13:38
    1 min read
    ArXiv

    Analysis

    This paper investigates discrepancies between theoretical predictions and observed cosmic ray energy spectra. It focuses on the spectral indices of different elements, finding variations that contradict the standard shock acceleration model. The study uses observational data from AMS-02 and DAMPE, and proposes a Spatially Dependent Propagation (SDP) model to explain the observed correlations between spectral indices and atomic/mass numbers. The paper highlights the need for further observations and theoretical models to fully understand these variations.
    Reference

    Spectral indices show significant positive correlations with both atomic number Z and mass number A, likely due to A or Z-dependent fragmentation cross-sections.

    Policy#Trade🔬 ResearchAnalyzed: Jan 10, 2026 07:20

    Analyzing the Impact of Dodd-Frank and Huawei on DRC Tin Exports

    Published:Dec 25, 2025 12:14
    1 min read
    ArXiv

    Analysis

    This article from ArXiv likely analyzes the impact of external factors on the Democratic Republic of Congo's tin exports, focusing on the influence of US legislation and geopolitical events. The paper's contribution lies in understanding how regulatory compliance and global economic shocks affect resource-rich nations.
    Reference

    The article likely examines the influence of the Dodd-Frank Act's conflict minerals provisions and the impact of the Huawei trade restrictions on DRC tin exports.

    Research#Banking Risk🔬 ResearchAnalyzed: Jan 10, 2026 08:01

    Assessing Systemic Risk in Emerging Market Banks Amidst Geopolitical Instability

    Published:Dec 23, 2025 17:03
    1 min read
    ArXiv

    Analysis

    This research analyzes a critical issue, systemic risk within emerging market banking systems, a relevant topic given current global instability. The study's focus on BRICS countries provides a valuable case study, given their economic significance.
    Reference

    The study uses empirical evidence from BRICS countries.

    Research#llm📝 BlogAnalyzed: Dec 24, 2025 20:01

    Google Antigravity Redefines "Development": The Shock of "Agent-First" Unlike Cursor

    Published:Dec 23, 2025 10:20
    1 min read
    Zenn Gemini

    Analysis

    This article discusses Google Antigravity and its potential to revolutionize software development. It argues that Antigravity is more than just an AI-powered editor; it's an "agent" that can autonomously generate code based on simple instructions. The author contrasts Antigravity with other AI editors like Cursor, Windsurf, and Zed, which they see as merely offering intelligent autocompletion and chatbot functionality. The key difference lies in Antigravity's ability to independently create entire applications, shifting the developer's role from writing code to providing high-level instructions and guidance. This "agent-first" approach represents a significant paradigm shift in how software is developed, potentially leading to increased efficiency and productivity.
    Reference

    "AI editors are all the same, right?"

    Research#Finance🔬 ResearchAnalyzed: Jan 10, 2026 08:22

    Assessing AI Fragility in Finance Under Macroeconomic Stress

    Published:Dec 22, 2025 23:44
    1 min read
    ArXiv

    Analysis

    This research explores the robustness of financial machine learning models under adverse macroeconomic conditions. The study likely examines the impact of economic shocks on the performance and reliability of AI-driven financial systems.
    Reference

    The research focuses on the fragility of machine learning in finance.

    Research#Astrophysics🔬 ResearchAnalyzed: Jan 10, 2026 08:24

    Novel Wave Activation in Relativistic Magnetized Shocks

    Published:Dec 22, 2025 21:34
    1 min read
    ArXiv

    Analysis

    The article's focus on superluminal wave activation in relativistic magnetized shocks suggests exploration of highly complex physical phenomena. The research has potential implications for understanding astrophysical processes involving extreme environments.
    Reference

    The study investigates superluminal wave activation within a specific physical context, relativistic magnetized shocks.

    Research#Vibroacoustics🔬 ResearchAnalyzed: Jan 10, 2026 08:30

    AI-Driven Vibroacoustic Control in Shock-Loaded Shell Structures

    Published:Dec 22, 2025 16:55
    1 min read
    ArXiv

    Analysis

    This research explores innovative vibroacoustic control in a specific structural context, potentially leading to advancements in materials science and engineering. The application of AI to shock-loaded structures suggests a novel approach to mitigating damage and improving performance.
    Reference

    Transient Vibroacoustic Control of a Shock-Loaded Inter-Connected Cylindrical Double Shell

    Research#astrophysics🔬 ResearchAnalyzed: Jan 4, 2026 10:08

    Magnetized Shocks Mediated by Radiation from Leptonic and Hadronic Processes

    Published:Nov 28, 2025 19:00
    1 min read
    ArXiv

    Analysis

    This article likely discusses the physics of shock waves in astrophysical environments, focusing on how radiation from particle interactions (leptonic and hadronic) influences the magnetic field within the shock. The research likely explores the mechanisms by which these processes magnetize the shock, which is crucial for understanding phenomena like particle acceleration and emission in cosmic events. The source, ArXiv, suggests this is a peer-reviewed scientific paper.

    Key Takeaways

      Reference

      Research#llm📝 BlogAnalyzed: Dec 25, 2025 18:25

      New Prediction Method Achieves Near-Reality Accuracy

      Published:Nov 14, 2025 07:09
      1 min read
      ScienceDaily AI

      Analysis

      This article highlights a significant advancement in prediction methodologies. The key innovation lies in prioritizing alignment with actual values over mere error reduction, leading to more accurate forecasts. The success in medical and health data suggests potential applications in various fields requiring reliable predictions. However, the article lacks specifics on the method's computational complexity and potential limitations. Further research is needed to assess its scalability and robustness across diverse datasets. The claim of "shockingly close" results needs more quantitative backing to be fully convincing. The impact on scientific forecasting could be substantial if these limitations are addressed.
      Reference

      The discovery could reshape how scientists make reliable forecasts.

      Research#llm📝 BlogAnalyzed: Dec 25, 2025 21:02

      I Tested The Top 3 AIs for Vibe Coding (Shocking Winner)

      Published:Aug 29, 2025 21:30
      1 min read
      Siraj Raval

      Analysis

      This article, likely a video or blog post by Siraj Raval, promises a comparison of AI models for "vibe coding." The term itself is vague, suggesting a subjective or creative coding task rather than a purely functional one. The "shocking winner" hook is designed to generate clicks and views. A critical analysis would require understanding the specific task, the AI models tested, and the evaluation metrics used. Without this information, it's impossible to assess the validity of the claims. The value lies in the potential demonstration of AI's capabilities in creative coding, but the lack of detail raises concerns about scientific rigor.
      Reference

      Shocking Winner

      Research#llm📝 BlogAnalyzed: Dec 25, 2025 21:05

      I Let 5 AIs Choose My Sports Bets, Results Shocked Me!

      Published:May 13, 2025 18:28
      1 min read
      Siraj Raval

      Analysis

      This article describes an experiment where the author, Siraj Raval, used five different AI models to select sports bets. The premise is interesting, exploring the potential of AI in predicting sports outcomes. However, the article lacks crucial details such as the specific AI models used, the types of bets placed, the data used to train the AIs (if any), and a rigorous statistical analysis of the results. Without this information, it's difficult to assess the validity of the experiment and the significance of the "shocking" results. The article reads more like an anecdotal account than a scientific investigation. Further, the lack of transparency regarding the methodology makes it difficult to replicate or build upon the experiment.

      Key Takeaways

      Reference

      Results Shocked Me!

      Research#llm📝 BlogAnalyzed: Jan 3, 2026 06:29

      Best AI Coding IDE? I Tested 5, Winner Shocked Me!

      Published:Feb 27, 2025 18:46
      1 min read
      Siraj Raval

      Analysis

      The article likely reviews and compares different AI-powered Integrated Development Environments (IDEs) for coding. The title suggests a surprising outcome, indicating the author found an unexpected winner among the tested IDEs. The source, Siraj Raval, is a well-known figure in the AI space, suggesting the article is likely to be informative and potentially influential within the AI community.

      Key Takeaways

        Reference

        We Need Positive Visions for AI Grounded in Wellbeing

        Published:Aug 3, 2024 17:00
        1 min read
        The Gradient

        Analysis

        The article's introduction sets the stage by highlighting the rapid advancement of AI and its potential societal impact. It poses a question about the transformative nature of AI and implicitly suggests a need for careful consideration of its effects.
        Reference

        Imagine yourself a decade ago, jumping directly into the present shock of conversing naturally with an encyclopedic AI that crafts images, writes code, and debates philosophy.

        Technology#AI Art👥 CommunityAnalyzed: Jan 3, 2026 16:35

        TattoosAI: AI-powered tattoo artist using Stable Diffusion

        Published:Sep 8, 2022 04:38
        1 min read
        Hacker News

        Analysis

        The article highlights the use of Stable Diffusion for generating tattoo designs. The author is impressed by the technology's capabilities and compares its potential impact on artists to GPT-3's impact on copywriters and marketers. The project serves as a learning experience for the author.
        Reference

        I'm absolutely shocked by how powerful SD is... Just like how GPT-3 helped copywriters/marketing be more effective, SD/DALL-E is going to be a game changer for artist!

        Analysis

        This article from Practical AI highlights the research of Phoebe DeVries and Brendan Meade on using deep learning to predict earthquake aftershock patterns. Their work, focusing on understanding earthquakes and predicting future movement, is crucial for improving preparedness. The article mentions their paper, which likely details the specific deep learning methods and data used. The focus on predicting aftershocks is particularly important for hazard assessment and risk mitigation following a major earthquake. The interview format suggests an accessible explanation of complex scientific concepts.
        Reference

        Phoebe and Brendan’s work is focused on discovering as much as possible about earthquakes before they happen, and by measuring how the earth’s surface moves, predicting future movement location.