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Physicsworld

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Tennis-ball towers reach record-breaking heights with 12-storey, 34-ball structure

A record-breaking 34-ball, 12-storey tower has been built, consisting of three balls per layer.
The tower is part of a series of tennis-ball structures, with previous towers having 19 and 25 balls.
Attempts to build a structure with more than 34 balls have failed without additional support.
Tower structures with four balls per layer and five balls per layer have also been built, but six balls per layer are physically impossible.

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Hobbieroth

385

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Asimov’s Corollary

Isaac Asimov's essay 'Asimov's Corollary' remains relevant even after fifty years
Asimov's Corollary states that when the lay public supports an idea opposed by distinguished but elderly scientists, the scientists are usually right
People's desire to believe often overrides the need for evidence and rational arguments
The presence of a 'cult of ignorance' emphasizes the need for critical thinking and scientific consensus

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Knowridge

211

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Scientists find new way to speed up quantum measurements without losing accuracy

Scientists have found a way to make quantum measurements faster without losing accuracy.
The new method involves adding more qubits to the process, allowing for quicker and reliable measurements.
By increasing the 'volume' of information in each measurement, accuracy can be achieved more quickly.
This breakthrough could have significant implications for the development of powerful and reliable quantum devices.

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Medium

How AI is transforming financial services & banking

AI is reshaping financial services by enhancing fraud detection, risk management, and customer experience through innovation.
Organizations aim to scale AI efforts in cloud environments with an integrated approach involving cross-functional partnerships and cutting-edge tools.
AI applications in banking include areas like anti-money laundering, cybersecurity, fraud detection, and multichannel marketing.
Capital One emphasizes the power of cross-functional partnerships in developing enterprise AI capabilities and applications.
Diverse teams, including data scientists, engineers, researchers, and product managers, collaborate on AI initiatives to drive innovation.
Strategic investments and partnerships with universities contribute to the advancement of AI in finance, ensuring responsible development and deployment.
AI technology at Capital One focuses on enhancing customer experiences, improving real-time modeling, and optimizing efficiency.
Using AI for personalized and proactive communication with customers, Capital One leverages machine learning to understand temporal data in finance.
Generative AI tools are employed to enhance customer interactions, assist agents in resolving queries efficiently, and support software developers in coding.
Key takeaways highlight the importance of data quality, evaluation, tooling, and continuous modeling refinement in successful AI implementations in financial services.

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Unite

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NTT Research Launches New Physics of Artificial Intelligence Group at Harvard

NTT Research has established a new Physics of Artificial Intelligence Group at Harvard, focusing on the complexities of AI and its decision-making processes.
The group aims to address the 'black box problem' in AI, which relates to the lack of understanding of how AI systems make connections and decisions.
Led by Dr. Hidenori Tanaka, the group merges physics, psychology, philosophy, and neuroscience to explore AI's mysteries and improve trustworthiness and safety in AI systems.
The Physics of Artificial Intelligence Group is a spin-off of NTT Research's PHI Lab, with a focus on understanding the neural network-like structures of AI.
Dr. Tanaka emphasizes the importance of defining concepts like creativity and kindness in mathematical terms for AI systems to comprehend.
The group will collaborate with Harvard University Center for Brain Science and Stanford University to advance research in AI mechanisms and human-AI fusion.
By adopting a cross-industry approach and integrating physics into AI research, NTT aims to design more cohesive and trustworthy AI technologies.
The group's interdisciplinary exploration of AI reflects a historical tradition of understanding technology and human relationships in physics.
Dr. Tanaka sees AI as a neural network akin to the human brain, highlighting the need to apply physics principles to study AI's inner workings.
The group's mission is to spark conversations and learning about AI across various backgrounds, contributing to the advancement of AI research and development.

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Interactions

282

European Strategy for Particle Physics: community input received

The community input for the 2026 update of the European Strategy for Particle Physics has been submitted, with 263 contributions received covering various aspects of high-energy physics.
Expert panels will review the submissions in preparation for an Open Symposium in Venice from 23 to 27 June.
The update aims to advance human knowledge in physics, particularly through the realization of the next flagship project at CERN.
Key topics include the study of the Higgs boson, dark matter, and neutrinos, alongside accelerator science and technology.
Sustainability and environmental protection are prominent themes in the submissions, aligning with CERN's commitment.
Proposals for future colliders at CERN include the Future Circular Collider (FCC) and a Linear Collider Facility, among others.
More than 50 national and national-laboratory submissions have been received, with a focus on identifying a successor to the LHC.
The recommendations from the ESPP process are crucial for maintaining CERN's leading role in particle physics.
The next steps include further evaluations, discussions at the Open Symposium, and final deliberations scheduled for December.
The European Strategy Group is expected to submit the proposed update to the CERN Council by the end of January 2026.

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Fyfluiddynamics

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Image Credit: Fyfluiddynamics

Inside an Alien Atmosphere

Researchers have unveiled the first 3D structure of an exoplanet's atmosphere.
Ground-based observations of WASP-121b revealed a flow deep in the atmosphere carrying iron from the hot daytime side to the colder night side.
WASP-121b, an ultra-hot Jupiter, has a super-fast jet-stream in its atmosphere that doubles in speed across the morning terminator to the evening.
The winds on WASP-121b make Earth's worst hurricanes seem tame.

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Popsci

215

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The universe isn’t just expanding—it may be spinning

The prevailing consensus in astrophysics is that the universe has been expanding outward since the Big Bang.
The rate at which the universe expands, known as the Hubble Constant, is a point of contention.
Researchers suggest that introducing a slight amount of rotation to the universe model may resolve the Hubble tension.
Astronomers are working to construct a computer model to search for signs of cosmic spinning.

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Medium

Image Credit: Medium

How to pick a 3D object using raycasting in C++

In the journey of developing a 3D viewer in C++, the focus shifted to making object selection user-friendly by implementing raycasting for picking objects.
The process involves detecting mouse click input, converting 2D mouse position to the 3D world, and determining the ray direction based on camera position.
Intersecting the ray with bounding boxes of entities involves utilizing a struct to encapsulate intersection logic and performing intersection tests.
The work involves methods like EditorRaycast for intersection tests and transforming the ray from world space to local space of entities for accurate collision detection.
The bounding box of entities is described with two 3D vectors and models initialize their bounding box during the initialization phase.
RayAABoxIntersection method effectively checks for intersections between the ray and bounding box, providing data in the HitInfo struct.
The process overview involves looping through entities, projecting rays, checking intersections, and outlining the steps to achieve object selection using ray/bounding box intersection.
The article concludes by discussing the pros and cons of using bounding boxes for object picking, highlighting solutions and offering assistance in game/3D development.
This article aims to aid in understanding the process of raycasting for object selection and encourages engagement through comments and GitHub project exploration.
For further clarification or inquiries, the author welcomes contact and wishes the readers a productive day.

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Medium

336

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[Mar 2025] AI Community — Activity Highlights and Achievements

The AI community highlighted the completion of the Vertex AI Sprint 2025 program, showcasing various tutorials on Gemini and Vertex AI.
Kaggle Community Olympiad 2025 featured multiple competitions like 'Used Cars Prices' and 'Risk Analysis' organized by different AI communities.
Noteworthy achievements included AI projects like creating job matching tools, virtual try-on clothes apps, and building local agentic RAG systems.
AI GDEs demonstrated the capabilities of Gemini and Gemma models through tutorials, videos, and code samples for various applications.
Various AI GDEs explored Gemini and Gemma models' functionalities for tasks like text-to-SQL assistance, job matching, and simplifying open-source contributions.
New features and updates were introduced, such as Gemma 3 models, Gemma support for AI Studio, and Gemma-based projects for language inference and image-related tasks.
AI GDEs showcased projects integrating Gemma and Vertex AI for tasks ranging from music sentiment analysis to financial sentiment analysis.
Community events like workshops and sessions were held globally, focusing on practical applications of AI tools like Gemini, Vertex AI, and Gemma.
The AI community members from various parts of the world actively participated in knowledge sharing, project demonstrations, and hands-on workshops.
The article emphasized the community's dedication to innovation, collaboration, and ongoing exploration of AI tools and techniques.

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Medium

Image Credit: Medium

How Close is that Lightning Storm?

A typical bolt of lightning can pack 90 million joules of energy and reach a temperature of 30,000°C.
There are approximately 1800 thunderstorms happening globally at any given time, producing around 100 lightning bolts per second.
Lightning strikes cause about 2,000 deaths each year.
Light travels at a speed of 299,792,458 meters per second, while sound travels at 343 meters per second.

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Medium

137

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Migrating 3.7 Million Lines of Flow Code to TypeScript

Pinterest successfully migrated 3.7 million lines of code from Flow to TypeScript in eight months, resulting in better type safety, developer experience, and improved hiring.
Initially, Flow was chosen for gradual adoption ease and React compatibility, but industry trends favored TypeScript for JavaScript type checking over time.
The migration process into TypeScript was divided into three phases: Setup, Conversion, and Integration.
They configured TypeScript, @typescript-eslint, and VS Code settings, resolving compatibility issues and optimizing ESLint with Discord’s fork.
Migration steps included converting dependencies like Apache Thrift, OpenAPI, and Relay types, running codemods, and suppressing ESLint errors.
Automation of the conversion process involved running codemods, fixing bugs, suppressing errors, and updating ESLint rules for TypeScript.
Integration focused on transpilation with Babel, updating JS filename references, and validating the migration through daily testing and manual rounds.
The rollout plan included isolating migration changes, minimizing developer disruption, and enabling quick recovery, leading to a successful transition to TypeScript.
The migration at Pinterest was incident-free, resulting in positive feedback on the migration experience, developer education, error understanding, library types, and TypeScript features.
Challenges included slow type checks and memory footprint issues, but Pinterest hopes for improvements with TypeScript's performance enhancements in the future.
Pinterest acknowledges the contributions and support from various teams and individuals during the migration process, aiming to provide valuable insights for others undertaking similar migrations.

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Knowridge

121

Image Credit: Knowridge

Scientists find half the universe’s missing hydrogen hiding in giant gas halos

Scientists have found that half of the missing normal matter in the universe is in the form of invisible hydrogen gas floating around galaxies in halos.
The research suggests that the hidden matter is in the form of ionized hydrogen gas that is more spread out around galaxies than previously thought.
The team used a technique to detect the presence of this gas by measuring how it scattered light from the cosmic microwave background.
The discovery of the hidden hydrogen gas provides insights into how galaxies evolve and may lead to updates in our understanding of the early universe.

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Physicsworld

350

Image Credit: Physicsworld

KATRIN sets tighter limit on neutrino mass

The Karlsruhe Tritium Neutrino experiment (KATRIN) has set the tightest upper limit on the mass of neutrinos at 0.45 electron volts (eV) at 90% confidence.
Neutrinos are particles that have extremely weak interactions with matter and come in three flavors: electron, muon, and tau.
By studying tritium beta decay, KATRIN researchers can indirectly measure the neutrino's mass.
The new limit is a significant improvement over previous results and provides insights into the nature of neutrinos beyond the Standard Model of particle physics.

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Physicsworld

Image Credit: Physicsworld

On the path towards a quantum economy

HSBC, NQCC, Rigetti, and the Quantum Software Lab collaborated on investigating quantum computing for fraud detection in financial transactions.
NQCC's priority is to help organizations understand the value of quantum computing for performance improvement.
Feasibility studies supported by NQCC allow companies to explore quantum computing's impact in specific use cases.
HSBC explored quantum technologies for detecting fraud as it affects a significant percentage of criminal offenses in the UK.
The aviation industry project focused on optimizing cargo loading for fuel efficiency and emission reduction.
Hybrid quantum-classical solutions were used to enhance optimization in loading cargo containers and fraud detection.
Quantum simulators running on classical computers showed potential for fraud detection despite limitations.
Results led to the development of roadmap for ongoing quantum computing work with a focus on data security protocols.
NQCC supported collaborations and networking opportunities for stakeholders to explore quantum computing applications.
The project outcomes emphasized the importance of forming constraints for quantum algorithms and understanding real-world requirements.

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