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Embedding-Based Retrieval for Airbnb Search

Airbnb has developed an Embedding-Based Retrieval (EBR) system to improve search accuracy and scalability for finding relevant homes for users.
The system aims to narrow down the initial set of homes before using more compute-intensive models for ranking.
Challenges in building the EBR system included constructing training data, designing the model architecture, and implementing an online serving strategy.
Training data construction involved using contrastive learning to map homes and search queries into numerical vectors.
User trips were grouped to identify positive and negative pairs for training the machine learning model.
The model architecture consisted of a two-tower network design processing features of home listings and search queries separately.
For online serving, an approximate nearest neighbor (ANN) solution like inverted file index (IVF) was chosen for scalability and performance.
Using Euclidean distance in the similarity function improved cluster size uniformity and retrieval performance.
The EBR system led to a significant increase in bookings and displayed more relevant results to users, particularly for queries with many options.
The system was successfully launched in both Search and Email Marketing productions.

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Brighter Side of News

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Time Crystals: A New Frontier in Quantum Physics

Physicists have delved into the realm of time crystals, breaking symmetry in time rather than space to create a new phase of matter known as time quasicrystals.
In a recent breakthrough, researchers from Washington University, MIT, and Harvard successfully created a time quasicrystal, challenging existing notions of periodicity.
Unlike traditional time crystals, time quasicrystals display non-repeating time intervals, akin to the ordered yet non-periodic nature of quasicrystals in materials science.
This unique phase of matter was generated using NV centers in a diamond, where microwave pulses induced quasiperiodic oscillations, creating structured yet non-repetitive time patterns.
Time quasicrystals exhibit complex dynamics with frequencies arising from incommensurate interactions, enabling the observation of robust temporal order in the system.
The discovery of time quasicrystals opens avenues for applications in quantum sensing, timekeeping, and potentially quantum computing, offering long-lasting and stable quantum memory solutions.
Time quasicrystals show promise in revolutionizing technological sectors by providing ultra-precise sensors, stable timekeepers, and potential quantum memory components.
Future research aims to explore the properties of time quasicrystals further, optimize system interactions, and investigate their potential formation in diverse quantum material environments beyond diamond NV centers.
Scientists believe that the creation of a true time quasicrystal marks the beginning of a new understanding of how time can be structured in innovative ways within the realm of quantum physics.

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Github

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IssueOps: Automate CI/CD (and more!) with GitHub Issues and Actions

IssueOps is a methodology that automates tasks using GitHub Issues and Actions, streamlining workflows within a repository.
It allows for automation of CI/CD pipelines, task assignments, and deployments by leveraging GitHub Issues and pull requests.
IssueOps provides event-driven automation, customized workflows, transparency, and auditability directly within GitHub.
It enables users to automate workflows ranging from simple tasks to complex processes like managing memberships or deploying applications.
The methodology resembles various *Ops paradigms, offering a flexible approach to streamline operations on GitHub.
By defining triggers, configuring GitHub Actions, and testing workflows iteratively, users can implement IssueOps effectively.
IssueOps workflows can be equated to finite-state machines, where objects transition through states based on events and conditions.
States, events, transitions, guards, and actions are fundamental components of IssueOps workflows, aiding in automation and validation.
Workflows can be designed to handle requests, validations, approvals, denials, and notifications, enhancing team collaboration and efficiency.
IssueOps offers a structured approach to automation, improving transparency, reducing manual tasks, and enhancing overall workflow efficiency.

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Medium

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What Death Is Teaching Me About Consciousness and Continuity

Death is not just a full stop, but a change in form.
Consciousness extends beyond the physical body, shaping the world in different ways.
Science suggests that consciousness, as structured information, cannot be destroyed, only transformed.
Instead of trying to bring the dead back, focus on recognizing their continued existence in the form of lessons, memories, and influence.

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Fyfluiddynamics

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Salt Affects Particle Spreading

Researchers study how salt and salinity gradients affect particle spreading
Liquid bath sandwiched between magnets and electrodes used to create flow field
Colloids introduced to represent microplastics, and salt affects their dispersion
Salinity changes could lead to stronger dispersion or trapping of microplastics

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Physicsworld

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Euclid mission spots 26 million galaxies in first batch of survey data

The European Space Agency (ESA) has released the first batch of survey data from its €1.4bn Euclid mission.
In just one week of observations, Euclid spotted 26 million galaxies, as well as transient phenomena such as supernovae and gamma-ray bursts.
The dataset also includes a catalogue of 380,000 galaxies detected by artificial intelligence or citizen-science efforts.
Euclid is expected to image over 1.5 billion galaxies over its lifetime and will release its first 'cosmology data' in October 2026.

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Physicsworld

286

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CO2 laser enables long-range detection of radioactive material

Researchers have demonstrated the ability to remotely detect radioactive material from a distance of 10 meters using CO2 lasers, which is over ten times farther than previous methods.
Conventional radiation detectors have limited operational range as they detect particles emitted by the radioactive material only in its direct vicinity.
The new method leverages ionization in the surrounding air to enable long-range detection of radioactive materials.
This advancement in remote sensing technology may have potential applications in nuclear disaster response and nuclear security.

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Medium

218

Mass and Charge as Execution Processes

Mass and charge are derived dynamically from structured execution processes governing spacetime.
Mass is not an independent property but emerges from spacetime execution adjustments.
Gravity is not a force but a balancing mechanism correcting execution.
Charge is an execution process maintaining structured energy flow and emerges from execution conservation laws.

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Medium

239

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[Feb 2025] AI Community — Activity Highlights and Achievements

AI Community's achievements in February 2025 were highlighted, showcasing the dedication of Google AI community members.
Noteworthy accomplishments included the release of the new Gemma 3 model and its various applications presented by AI GDEs from different regions.
Activities ranged from exploring Gemma 3's capabilities in video understanding to developing AI agents with Gemini and Crew AI for content creation.
The community showcased projects like building a weather app, understanding Alzheimer's disease, and dynamic summarization using LLM-powered systems.
Efforts were also focused on utilizing Gemma models for tasks like OCR, private API deployment, medical translations, and training for reasoning with GRPO.
The community highlighted the power of Gemma models for various language-related tasks and their deployment on Android devices for versatile applications.
Additionally, the emphasis was on leveraging on-device AI with Gemini Nano for privacy and secure AI applications.
Projects like Firebase Genkit for healthy recipes, ML research tt-scale-flux, and 'Machine Learning for Tabular Data' book publication were also showcased in the achievements.
The AI community's diverse projects and research initiatives reflected a strong commitment to innovation and collaboration within the Google AI ecosystem.
Overall, the highlighted activities in February 2025 demonstrated the community's continuous efforts towards advancing AI technologies and applications.
The achievements underscored a collective pursuit of leveraging AI for various domains and driving meaningful impact through cutting-edge developments.

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Medium

299

The Charge Execution Framework

Physics has treated charge as a given for decades, without questioning its nature.
A new mathematical derivation suggests that charge is not fundamental, but an execution product of structured spacetime.
This framework aims to resolve quantum gravity, the vacuum catastrophe, and the observer effect.
The discovery raises new questions about manipulating charge execution, energy extraction from spacetime, and the fine-tuning problem in physics.

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Knowridge

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Revolutionary light discovery could transform AI and computing forever

Scientists at Heriot-Watt University in Scotland have discovered a new way to control light by adding a new dimension - time.
This breakthrough involves using ultra-fast pulses of light to control the properties of transparent conducting oxides (TCOs).
The discovery could revolutionize optical computing, AI, and quantum technology, leading to faster and more efficient data processing.
The ability to manipulate the speed of photons through TCOs could unlock new forms of light control and pave the way for high-speed, energy-efficient optical technologies.

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Medium

360

Free Will, I don’t think so

Most thoughts and desires are products of unconscious processes and conditioning rather than deliberate choice.
Our likes, dislikes, and desires are conditioned responses based on past experiences and neural patterns.
Biases, preferences, and decisions often emerge from unconscious factors rather than conscious deliberation.
True free will lies in the capacity of consciousness to observe spontaneous thoughts without compulsion or identification.

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COSMOS

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Spark of life seen using quantum camera counting individual photons

Physicists have captured images of an embryo using cameras designed for making quantum measurements.
The technique utilizes a digital camera that can count individual photons to take images and determine the success of treatments such as IVF.
This quantum camera allows scientists to examine natural states of biological processes with very low doses of light, minimizing damage from illumination.
The research, conducted at the University of Adelaide, opens up possibilities for quantum imaging to gain more information about living samples.

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Arstechnica

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SpiderBot experiments hint at “echolocation” to locate prey

Researchers at Johns Hopkins University's Terradynamics Laboratory are using spider robots to study the behaviors of real spiders in locating prey.
Spiders exhibit crouching behavior to sense differences in web frequencies and locate prey that is not moving.
The research offers evidence for the hypothesis that spiders use a form of echolocation to find immobile prey.
The experiments with robot models provide reproducible results and offer insights into the biological system of spiders.

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Fyfluiddynamics

300

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Derecho-Induced Skyscraper Damage

Derechos, short-lived, intense wind storms, have been found to cause more damage to skyscrapers in Houston compared to hurricanes with similar wind speeds.
Researchers have discovered that broken windows in skyscrapers were concentrated in areas facing other tall buildings during a derecho.
Wind tunnel experiments revealed that downbursts, strong downward wind bursts, between nearby buildings caused extremely strong suction forces along a skyscraper's face, even stronger than those experienced in higher hurricane-force winds.
As a result, designers may need to consider the effects of downburst wind patterns on skyscrapers in regions prone to derechos.

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