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MIT physicists discover new way to create strange metal

Physicists at MIT have discovered a new method to create a state of matter called a 'strange metal'.
The research team experimented with a quantum material shaped like a sheriff's star, which has properties different from conventional metals.
Understanding strange metals has been challenging, but this breakthrough could pave the way for new insights into high-temperature superconductors.
The team's work was published in Nature Physics, and their findings could impact the development of a unified theory for the behavior of strange metals.

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Physicsworld

222

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China launches Chang’e-6 mission to return samples from the Moon’s far side

China has successfully launched Chang’e-6 mission to bring back samples from the far side of the Moon.
Chang’e-6 is expected to collect up to two kilograms of soil from an area not previously sampled.
China has made significant progress in lunar exploration with previous missions, including the Chang’e-5 mission that brought back samples from the near side of the Moon.
The returned samples from Chang’e-6 are expected to provide valuable insights into the early evolution of the Moon and the differences between its near and far sides.

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Medium

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Progress towards realizing a nuclear clocks

Scientists are making progress towards realizing a nuclear clock.
The atomic nucleus of thorium-229 has a low-energy nuclear excited state.
By exciting this state with a laser, a highly accurate frequency standard can be achieved.
The lifetime of the isomer state of thorium-229 was determined to be 1,400(+600/-300) seconds.

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Medium

256

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Meta’s New Groundbreaking Paper on Multi-Token Prediction for Better and Faster LLMs

Meta’s new groundbreaking paper suggests training language models to predict multiple future tokens at once results in higher sample efficiency.
Multi-token prediction improves sample efficiency and speeds up inference times by up to 3x, particularly with larger models and batch sizes.
This technique shows substantial improvement over traditional next-token prediction models on coding tasks and generative benchmarks.
Predicting more than one token at a time enhances the model's accuracy across various coding evaluations.

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Medium

212

Navigating the Ever-Evolving Landscape of AI: Trends Shaping Our Future

Conclusion: Stay informed about AI trends. Utilize its power for societal benefit while mitigating risks.

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Medium

120

AIvolution: A Day in the Life of Tomorrow’s Tech-Savvy Software Engineer

AI-powered alarm clock and personal AI assistant streamline daily routines.
Self-driving cars and AI navigation systems revolutionize commuting.
Software engineer works alongside virtual colleagues to tackle technological challenges.
AI-generated lunch and banter infuse workplace interactions with digital whimsy.

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Scitechdaily

14h

204

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Quantum Leap Into the Frequency Domain Unlocks New Possibilities

Scientists achieved stable two-photon interference at double the resolution using frequency-domain techniques.
They introduced frequency-domain photon number-path entanglement and used a frequency beam splitter to alter photon frequencies.
This advancement enables the creation of a two-photon NOON state with improved stability and resolution.
The breakthrough opens up possibilities for quantum information processing and advancements in quantum technologies.

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Medium

16h

235

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Transitioning Software Team Culture

The software team started with several issues, including waste, lack of communication and collaboration, organizational silos, and slow delivery speed.
They also faced challenges in terms of product quality, pull requests process, endless find-fix cycles for bugs, and batch releases.
To address these issues, the team established a department mission and values focused on delivering continuous value to the customer, maintaining code quality, and demonstrating progress.
The team recognized the need for significant changes in their culture and practices, which will be discussed further in subsequent discussions.

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Medium

17h

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Reflecting on VSF Tech Club’s 3rd bi-Annual Conference

The 3rd bi-Annual Conference of VSF Tech Club took place with an engaging introduction by co-founder Srinivas.
Guest speakers discussed topics such as cloud security and ML applications in social media apps.
A hands-on 'Code Less ML Lab' was introduced for members with varying skills in ML.
Operational insights and membership pitches were shared, highlighting the club's structure and goals.

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Medium

20h

Image Credit: Medium

Data Structures & Algorithms In Python

Data structures are containers that store and organize data efficiently.
Python provides fundamental data structures such as lists, dictionaries, sets, and tuples.
Abstract data types like stacks and queues offer specific control over elements.
Algorithms in Python range from simple sorting techniques to complex data analysis and machine learning.

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Medium

20h

148

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How AI is fundamentally changing the workforce

AI is causing significant changes in the workforce, leading to layoffs and job loss.
Many workers are struggling to find new jobs due to the introduction of AI.
Software engineers are particularly affected as their jobs are being replaced by generative AI.
Workers are advised to adapt to AI technology and experiment with it to enhance their productivity.

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Medium

20h

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Transactional Design Pattern — Ensuring Data Integrity & Consistency

Transactional design pattern ensures data integrity, consistency, and reliability in software engineering.
It is based on the principles of ACID (Atomicity, Consistency, Isolation, and Durability).
The pattern revolves around executing a sequence of operations as a single unit, ensuring success or failure of all operations.
Implementing the transactional design pattern offers benefits like data integrity, consistency, and reliability but also presents challenges.

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Medium

21h

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Different Approaches to Software Development Methodology

Understanding the unique characteristics of each software development methodology is crucial in selecting the most suitable approach for a project.
Factors such as project characteristics and organizational context should be considered when choosing a software development methodology.
Research has shown that selecting an appropriate methodology significantly impacts project success rates.
Best practices for implementing the chosen methodology include continuous communication and adaptation to changing requirements.

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Fyfluiddynamics

22h

279

Image Credit: Fyfluiddynamics

Unsticking in Jumps

Soft materials tend to be sticky, making them difficult to remove from surfaces.
Adhesion hysteresis, the difficulty in separating sticky things, is not due to viscoelasticity or chemical bonding.
Instead, the challenge lies in the way two surfaces separate in discrete jumps rather than smoothly.
These jumps occur as surfaces with many contact points gradually detach.

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Medium

23h

246

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Mastering Design Patterns in Java: A Comprehensive Guide for Software Developers

Design patterns are recurring solutions to common design problems faced by developers.
In Java, design patterns can be broadly classified into three main categories.
Using design patterns in Java offers several benefits.
Design patterns are invaluable tools for Java developers, providing proven solutions to recurring design problems.

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