Software News, Latest Updates and Recent Announcements on Techminis

A naukri.com initiative

New

Home

Software News

Knowridge

450

Image Credit: Knowridge

Sound waves create greener, safer hydrogels in minutes

Researchers at McGill University and Polytechnique Montréal have developed a new method for creating hydrogels using sound waves, making the process safer, faster, and more environmentally friendly.
Hydrogels, which are materials that can absorb large amounts of water, are traditionally made using chemical initiators. The new ultrasound method, called “sonogel,” forms hydrogels within minutes by creating tiny bubbles in a liquid precursor that collapse and solidify due to ultrasound waves.
The ultrasound method is faster, safer for the body, and kinder to the environment compared to traditional methods, completing the process in just five minutes and offering potential applications in medical use, tissue engineering, and 3D bioprinting.
This breakthrough technology, published in the journal Advanced Science, has the potential to revolutionize hydrogel production in medicine and industry, leading to less invasive medical treatments and more precise manufacturing techniques.

Read Full Article

27 Likes

Medium

128

Image Credit: Medium

Dubbify AI Reviews: Video Editing Software

Dubbify AI is an AI Video Engine designed to localize, translate, and dub videos in multiple languages with AI-powered lip-sync and voice cloning.
It aims to automate tasks like translation, dubbing, voice cloning, and lip-sync that traditionally require human intervention and technical skill.
Dubbify AI eliminates the need for expensive studios, professional dubbing artists, translators, and complex video editing software, offering a cost-effective solution for creating global content.
The platform includes a private marketplace for users to offer AI-dubbing services and keep 100% of the profits.

Read Full Article

7 Likes

Tech Radar

114

Image Credit: Tech Radar

This new ChatGPT feature solves the most annoying thing about Deep Research

OpenAI has improved ChatGPT’s Deep Research feature by allowing the export of reports as PDFs, facilitating easier sharing and archiving of research.
The PDFs contain tables, images, citations, making it convenient to share comprehensive research findings.
The 'download as PDF' option is accessible through the share icon in ChatGPT Plus, Team, or Pro subscriptions.
This update addresses a common user frustration and enhances the usability of Deep Research reports.
The PDF export feature enables users to integrate their research into other tools for further analysis or sharing.
Users can now easily collaborate, store, and distribute their Deep Research reports in a more structured format.
OpenAI’s responsiveness to user feedback in implementing this feature demonstrates a commitment to enhancing user experience.
The enhancement signifies a step towards making AI tools more interoperable and adaptable to users' needs.
Although the 'Download as PDF' option may not be prominently placed, its functionality adds significant value to the Deep Research feature.
The ability to export reports as PDFs opens up new possibilities for utilizing research findings in various applications and tools.

Read Full Article

6 Likes

Medium

340

Image Credit: Medium

“Configuration Management: The Unsung Backbone of Reliable Software Delivery”

Configuration management is essential for reliable software delivery and should not be treated as an afterthought.
Version control everything, including code, database schemas, build scripts, and environment configurations.
Managing dependencies, declaring explicit versions, and using tools like Maven, npm, or Terraform is crucial for successful deployments.
Treating environments as code and using tools like Ansible or Docker to define them declaratively can help in eliminating unexpected differences and ensuring reproducibility.

Read Full Article

20 Likes

TechBullion

Image Credit: TechBullion

How We Can Revolutionize Education Through Customized Software Solutions: Lessons from the LEARNS Act Implementation

The article delves into how the LEARNS Act was effectively implemented through customized software solutions by the Arkansas Department of Education.
It highlights the importance of technical decisions, integration challenges, and platform architecture in translating policy into action.
Education technology trends and recommendations for scalable, secure, and user-friendly digital solutions in the education sector are discussed.
The LEARNS Act aimed at streamlining education processes, offering alternative schooling options, and enhancing school choice programs in Arkansas.
The transformation involved developing a comprehensive online platform to manage Education Freedom Account (EFA) applications and funding distribution.
Challenges like integrating with existing education infrastructure, ensuring security, and user accessibility were addressed during the implementation.
The article emphasizes the importance of scalable architecture, integration, security measures, user accessibility, and leveraging data in education technology solutions.
Key takeaways from the LEARNS Act implementation include designing for scalability, prioritizing integration, fortifying security, ensuring accessibility and ease of use, and leveraging data for optimization.
The successful implementation of the LEARNS Act demonstrates how well-planned software can reshape education processes and enhance access to school choice programs.
Education technology must empower families, support educators, and enable data-driven policymaking to drive long-term impact and equitable access in the education sector.
Efficient, inclusive, and adaptable technology solutions are crucial for fostering a smarter and more accessible education system for future generations.

Read Full Article

Tech Radar

Image Credit: Tech Radar

This new AI model can make your dream Lego set - here's how you can try LegoGPT for free

LegoGPT is a new AI tool that turns text prompts into real Lego designs with step-by-step instructions using real Lego bricks.
The AI model uses physics simulations to ensure designs are stable and structurally sound before generating brick-by-brick instructions.
LegoGPT is an open-source tool developed by Carnegie Mellon researchers, allowing users to create Lego designs using a limited set of standard brick types.
The tool has implications beyond just creating Lego designs, potentially being used for prototyping, architectural modeling, and other real-world applications.

Read Full Article

3 Likes

Medium

229

Image Credit: Medium

I Hacked the JVM with Custom Flags and Tripled My Spring Boot App’s Performance

The JVM is often considered a black box in modern enterprise software, hindering performance optimization for Spring Boot apps.
By exploring JVM flags, a developer achieved a 300% performance boost in a Spring Boot microservice without altering business logic.
This performance upgrade was a result of utilizing specific JVM startup flags to enhance latency, throughput, and memory usage in a cloud-native environment.
The focus is on practical application rather than theoretical benchmarks, empowering developers to optimize Java services and manage garbage collection efficiently.

Read Full Article

13 Likes

Tech Radar

Image Credit: Tech Radar

Google just showed us the new look of Android 16 and it’s aimed directly at the iPhone’s biggest fans

Google showcased the upcoming changes with Android 16 and Material 3 Expressive guidelines, focusing on color, new shapes, motion effects, and visual cues.
Material 3 Expressive aims to enhance user experience with new motion effects like blur and organic-looking interfaces.
Android 16 will feature new type styles, 35 additional shapes, and an expanded color range for developers.
The design overhaul targets an emotional connection with users, particularly appealing to 18-24-year-olds and potentially iPhone fans.
New design elements will extend to Wear OS 6, dynamic color themes, Google apps like Photos and Maps, and Live Updates similar to iPhone's features.
Security enhancements in Android 16 include protection against scams, Advanced Protection mode, and improved Find My Device functionality.
Google plans to introduce Gemini technology across Wear OS, Android Auto, Google TV, and potentially XR glasses.
Gemini will enable voice interactions, but the concept raises concerns regarding privacy and AI usage.
Specific launch timelines were not provided, suggesting Google I/O may reveal more about upcoming features and developments.
Expectations for Google I/O include focus on AI advancements and further updates on Gemini and Android XR technologies.

Read Full Article

3 Likes

Towards Data Science

Get Started with Rust: Installation and Your First CLI Tool – A Beginner’s Guide

Rust is a popular programming language known for its security and high performance, combining features of C, C++, and simplicity of modern languages like Python.
Installation of Rust is made easy through the official installer rustup, available for free on the Rust website.
For Windows installation, downloading rustup-init.exe and running it through command line completes the process.
On Linux, Rust can be installed through the terminal using a specific command.
For macOS, installation via Homebrew or a script is possible.
Using cargo, the official package manager and build system of Rust, a new project can be initiated with ease.
Cargo assists in project management by handling dependencies, compilation, tests, and builds.
Dependencies like serde and serde_json facilitate working with data formats like JSON.
By following set-up steps and writing Rust code, a simple CLI tool to parse and display JSON content can be created.
The process includes creating a project, defining dependencies, writing code for JSON parsing, and testing the CLI tool.

Read Full Article

3 Likes

TheNewsCrypto

Neo Kicks Off New Governance Era: Calls for Fresh Council Members, Greater Transparency

Neo is transitioning into a new governance era, seeking fresh council members and promoting transparency.
The Neo Council Members are required to report their contributions regularly to enhance community oversight.
Efforts are being made to invite new council members from diverse backgrounds to foster competition and new ideas.
Interested individuals or organizations can apply to become council members by following the outlined steps and paying a registration fee.
Transparency is a key focus, with council members expected to showcase their contributions in quarterly reports.
Community involvement is encouraged in governance decisions through the Neo Governance subreddit.
The Neo Council plays a crucial role in maintaining the network's health, handling blockchain transactions, and making key decisions.
Council members receive compensation in GAS tokens for their contributions to network maintenance.
The Neo N3 ecosystem is evolving to accommodate new projects and users, with a focus on transparency and collaboration for long-term growth.
Community feedback and participation are vital for shaping the future of Neo N3's governance structure.

Read Full Article

4 Likes

Towards Data Science

379

Non-Parametric Density Estimation: Theory and Applications

Density estimation is essential in statistical analysis for inferring the probability density function of a random variable given a sample data. It can be used for distribution analysis, classification tasks, and more.
Histograms and Kernel Density Estimators (KDEs) are popular non-parametric methods for density estimation, with KDEs being a smoother alternative to histograms.
Density estimation methods may be parametric (assuming a known distribution) or non-parametric (making no rigid assumptions about the distribution). Non-parametric methods like KDEs typically have lower bias and higher variance.
Histograms partition data into bins, while KDEs compute weighted sums of neighboring points. KDEs generalize the histogram approach and are commonly used in practice.
Kernels play a crucial role in KDE, with choices like Gaussian, Epanechnikov, rectangular, and triangular, influencing the smoothness of the density estimate.
The accuracy of density estimators is influenced by bias and variance trade-offs, with bandwidth selection impacting the estimation quality.
In classification tasks, density estimation can be used to build classifiers like Naive Bayes, where parametric and non-parametric density estimates affect decision boundaries and classification accuracy.
Non-parametric Naive Bayes classifiers may provide more flexible decision boundaries but could introduce roughness, compared to smoother decision boundaries from parametric approaches.
Understanding density estimation theory, methods like histograms and KDEs, and their applications in classification tasks offer valuable insights for statistical analysis.
Resources like notes on nonparametric statistics, statistical learning textbooks, and datasets like the famous Iris dataset can aid in further exploration of density estimation.
The choice between parametric and non-parametric density estimation depends on the dataset characteristics, with parametric assumptions often offering smoother decision boundaries in classification tasks.

Read Full Article

22 Likes

Engadget

252

Google I/O 2025: What to expect including Gemini AI, Android 16 updates, Android XR and more

Google's annual developer conference, Google I/O 2025, is set to kick off on May 20, with expectations high for exciting tech keynotes.
The event will likely focus on AI developments, with leaked information hinting at Android updates and other announcements.
Android 16 is anticipated to bring new features like scam-detection capabilities, Material 3 Expressive design, and support for Gemini AI.
Android XR, Google's venture into extended reality, is expected to leverage Gemini AI models and work with partners like Samsung on Project Moohan.
The conference may also see significant AI-related announcements, possibly featuring Project Mariner and updates on Project Astra.
Rumors suggest that Google might introduce a Pinterest-like service and possible Wear OS updates during the event.
Google's NotebookLM mobile launch is anticipated during I/O 2025, expanding its note-taking app's reach.
With Google's history of leaks, surprises may be minimal, but Engadget will cover the latest updates and analysis during the conference.
The company seems poised to unveil new technologies and features, building on its existing platforms and AI capabilities.
Overall, Google I/O 2025 promises a mix of Android innovations, AI advancements, and potentially new products and services.

Read Full Article

15 Likes

Towards Data Science

Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware

Hardware choices and training time significantly impact energy, water, and carbon footprints during AI model training, while architecture-related factors have a minimal effect.
Energy efficiency during AI model training has improved slightly over the years, showing a 0.13% improvement annually.
Longer training times can gradually reduce overall energy efficiency by 0.03% per hour.
The study analyzed AI models' architectural and hardware choices' impact on resource consumption during training.
Data from Epoch AI's Notable AI Models dataset was used for estimation and analysis methods.
Results indicated that hardware choices and training time were significant predictors of energy consumption during AI training.
AI models have become slightly more energy-efficient over time, with an estimated 0.13% improvement annually.
Training time was identified as a significant factor influencing energy efficiency, decreasing by 0.03% per hour.
The study highlighted the significant environmental impacts of AI model training and the importance of considering hardware choices and training practices.
Further research is recommended to explore interactions between hardware types and training practices for more comprehensive insights.

Read Full Article

3 Likes

Hackernoon

Image Credit: Hackernoon

When It's 3AM and Your App is on Fire: How Distributed Tracing Saves the Day

Distributed tracing is crucial for tracking performance issues in complex microservices architectures.
Without distributed tracing, troubleshooting involves manual correlation of timestamps and guesswork.
With distributed tracing, one can easily identify latency issues and pinpoint problematic components.
The three pillars of observability are logs, metrics, and traces, each serving a different purpose.
Distributed tracing provides end-to-end visibility of request flows, aiding in detecting failures and performance bottlenecks.
Real-world examples include Shopify using tracing to resolve Black Friday issues and Uber identifying timeouts through tracing.
Metrics signal when something is wrong, logs offer detailed context, and traces reveal the 'why' and 'where' of issues.
Starting with an observability framework like OpenTelemetry or Jaeger and instrumenting code is vital for distributed tracing.
Effective data collection, meaningful tags, and scaling the tracing implementation are key steps in maximizing its benefits.
Common pitfalls to avoid include excessive data collection, poor sampling, and siloed analysis.
The future of distributed tracing includes AI-powered anomaly detection, enhanced privacy controls, and business-centric observability.

Read Full Article

4 Likes

Medium

257

Image Credit: Medium

Go Is for Developers, Zig Is for Masochists — And I Love Both

Go, released in 2009 by Google, prioritizes simplicity, productivity, readability, and scalability over complex programming paradigms.
Zig, on the other hand, is a new and challenging language that delves deep into systems programming with minimal hand-holding.
The contrast between Go and Zig reflects different preferences in coding approaches, with Go being for developers and Zig being for those who enjoy the challenge.
Despite their differences, the author appreciates both Go and Zig for what they reveal about coding and human nature.

Read Full Article

15 Likes

For uninterrupted reading, download the app

Software News

Discover more