Software News, Latest Updates and Recent Announcements on Techminis

A naukri.com initiative

New

Home

Software News

Medium

250

Image Credit: Medium

ERC-20 Explained: The Token Standard That Powers Ethereum’s Economy

ERC-20 is the token standard widely used on Ethereum, enabling the creation and smooth functioning of thousands of cryptocurrencies on the same blockchain.
ERC-20 sets rules and guidelines for how tokens should behave on Ethereum, providing standardization and order in the cryptocurrency ecosystem.
ERC-20 has become the default token standard on Ethereum due to its simplicity in launching tokens, creating a common language for developers globally.
ERC-20 defines core functions and events like totalSupply, balanceOf, and transfer, making it easier for wallets, exchanges, and dApps to interact with any ERC-20 token.

Read Full Article

15 Likes

Engadget

242

Image Credit: Engadget

Signal will block Microsoft Recall from snooping on your texts

Signal introduces Screen Security feature on its Windows app to prevent screenshot logging of messages, particularly targeting Microsoft's Recall feature in Windows 11.
The Screen Security feature will flag Signal's application as protected by DRM, ensuring messages are not recorded in screenshots on Windows devices.
Signal hopes that AI teams working on systems like Recall will consider privacy implications more carefully, emphasizing the need for proper developer tools to protect user privacy.
Despite Microsoft's rollout of Recall to Copilot+ PCs, concerns about privacy and security remain, with some questioning its readiness for widespread use.

Read Full Article

14 Likes

Towards Data Science

206

Use PyTorch to Easily Access Your GPU

Using PyTorch, one can easily access and use the capabilities of their GPU for computational tasks, even without machine learning applications.
GPUs have become essential in fields like machine learning and large language model training due to their ability to perform highly parallelizable computations.
PyTorch, developed by Facebook's AI Research Lab, supports GPU operations through CUDA and efficient tensor manipulation.
PyTorch's Tensor data structure and CUDA support allow it to directly access GPU hardware for accelerated numerical computations.
Setting up the development environment for PyTorch involves installation on systems with Nvidia GPUs along with necessary drivers.
Running comparisons of computational tasks using NumPy on CPU versus PyTorch on GPU shows significant performance improvements with PyTorch.
Moving data to GPU memory in PyTorch can further enhance performance, providing over 10x speedup compared to NumPy in certain cases.
Examples show PyTorch's superior performance over NumPy in matrix operations, with up to 20x improvement in execution times.
Combining CPU and GPU code for computational tasks can lead to overall runtime improvements, even for non-Machine Learning numerical operations.
Leveraging PyTorch with an NVIDIA GPU can significantly accelerate computationally intensive tasks, making it a valuable tool beyond traditional machine learning applications.

Read Full Article

11 Likes

Medium

345

Image Credit: Medium

Performance Boost in C++ with Parallel STL: Accelerate Your Code with std::execution Policies

Using std::execution policies like par_unseq in C++ can significantly improve performance, particularly in numerical tasks such as matrix or signal processing.
Linking the Intel TBB library with -ltbb is necessary for proper execution of parallel algorithms like std::execution::par.
Important considerations include handling simultaneous writes to variables, exceptions in parallel code, and debugging challenges.
Commonly used STL algorithms that support an execution policy parameter include std::reduce and scan algorithms, offering improved performance in parallel and associative operations.

Read Full Article

20 Likes

Mit

293

Image Credit: Mit

Learning how to predict rare kinds of failures

Southwest Airlines faced a series of failures during the holiday season, resulting in losses of $750 million and stranding 2 million passengers.
MIT researchers developed a computational system to pinpoint root causes of rare failures using sparse data combined with extensive normal operations data.
The findings were presented at the International Conference on Learning Representations by MIT doctoral student Charles Dawson and professor Chuchu Fan along with colleagues.
The goal was to create a diagnostic tool for real-world systems to predict failures.
The research focused on cyber-physical problems where automated systems interact with real-world complexities, causing unexpected failures.
Unlike robotic systems, airline scheduling lacks comprehensive models, making failure prediction challenging with limited data.
Southwest's scheduling crisis was influenced by the deployment of reserve aircraft, which played a significant role in the system breakdown.
The research team's computational model analyzed public data on flight operations to identify hidden parameters related to aircraft reserves.
The study revealed how failures in one part of the network led to cascading effects, necessitating a drastic system reset by Southwest Airlines.
The research could lead to real-time monitoring systems for preemptive measures in detecting and preventing failures in complex cyber-physical systems.

Read Full Article

17 Likes

The Robot Report

306

10 robotics trends spotted at Automate 2025

Automate 2025 in Detroit showcased the latest in commercial and industrial automation, drawing in a significant number of attendees and exhibitors.
Despite economic challenges, the event reported a 40% rise in registrants and continued growth in networking events around the automation industry.
The market, although experiencing some slowdowns, is expected to improve later this year or in early 2026, with companies gearing up to stay competitive.
Incremental technological changes were noted at the event, with highlights including Universal Robots' release of the UR15, the fastest collaborative robot arm to date.
Industrial and collaborative robots are converging, with a focus on lighter, more precise cobots from various manufacturers like ABB, FANUC, and KUKA.
Automate 2025 emphasized the importance of ecosystems, with companies partnering and showcasing integrated offerings to enhance automation solutions.
Component providers and integrators played a key role in the adoption of automation, showcasing technologies like motion control, sensors, and improved vision systems.
Mobile robots were a focus at the event, with advancements in robot arms, SCARA robots, and delta robots compared to autonomous mobile robots (AMRs).
Software, data, and AI were highlighted as crucial enablers for robotics, with a focus on connecting software stacks, collecting data, and utilizing AI for simulation and training.
Tariffs, sustainability, and labor augmentation were key topics at Automate 2025, impacting businesses and driving discussions on global trade, environmental efforts, and workforce development.

Read Full Article

18 Likes

Amazon

384

Image Credit: Amazon

Amazon Q Developer CLI supports image inputs in your terminal

Amazon Q Developer Command Line Interface (CLI) now supports image inputs, providing developers with the ability to process visual information directly through the command line.
This feature allows for easier translation of visual assets like diagrams and blueprints into working code, streamlining development workflows and enhancing productivity.
Q Developer CLI currently supports JPEG, PNG, WEBP, and GIF image formats, with the capability to upload up to 10 images per request.
Developers must have Q Developer CLI version 1.10.0 or above to utilize the image support feature.
The article demonstrates four use cases that showcase the benefits of using image support in Q Developer CLI.
These scenarios include generating infrastructure as code from an architecture diagram, converting ER diagrams to database schemas, creating design documents from hand-drawn images, and building UI mockups from screenshots.
Q Developer CLI analyzes images, identifies components and relationships, and generates corresponding code or documents, reducing manual interpretation and enhancing automation.
By leveraging image support, developers can streamline the translation of visual concepts into code, accelerate development cycles, and improve efficiency.
Additional possibilities for image analysis by Q Developer CLI include flow charts, class diagrams, network topology diagrams, and error message screenshots.
The addition of image support in Amazon Q Developer CLI facilitates a smoother transition from design to implementation, enhancing developer workflows and promoting productivity.

Read Full Article

23 Likes

Pymnts

Image Credit: Pymnts

Entersekt and Stanchion Team to Enhance Payment Integration

Entersekt and Stanchion have partnered to enhance payment integration for financial institutions worldwide.
The collaboration combines Stanchion's tools for modernizing payment systems with Entersekt's 3-D Secure payment authentication solution.
The partnership aims to provide strong authentication, adaptive risk intelligence, and improve customer experiences.
Entersekt's access control server has shown significant results in reducing fraud, increasing conversion rates, and transaction value.

Read Full Article

3 Likes

Tech Radar

142

Image Credit: Tech Radar

iPhone designer Jony Ive joins OpenAI, but don't expect a new ChatGPT smartphone

Jony Ive, designer of the iPhone, is set to become the design lead for OpenAI, known for ChatGPT AI.
OpenAI is acquiring Ive's io company for $6.5 billion, and Ive will focus on upgrading OpenAI's software.
Ive, who left Apple in 2019, expressed concerns about unintended consequences of past products like the iPhone.
Ive and OpenAI CEO Altman may explore AI-capable consumer hardware, likely wearables rather than smartphones.
There might be a focus on enhancing wearables with AI features like cameras for immersive experiences.
Ive aims to upgrade the visual appeal of OpenAI's software interfaces like ChatGPT and Sora.
OpenAI, in partnership with Apple, is working on delivering AI experiences, potentially hinting at hardware developments.
Ive's Loveform firm will remain independent but will collaborate with OpenAI as a client.
Altman and Ive are hinting at developing AI-powered devices that could revolutionize consumer electronics.
OpenAI, with Ive's design expertise, aims to enter the smart glasses space, competing with Meta and Google Gemini.

Read Full Article

8 Likes

Medium

276

Image Credit: Medium

Sealed Classes in Java: Deep Dive with Interview Questions

Sealed classes in Java provide explicit control over which classes can extend or implement a class/interface.
They were introduced in Java 15 (preview) and finalized in Java 17, enforcing restricted inheritance and strong encapsulation.
Sealed classes restrict which other classes or interfaces may extend or implement them, promoting controlled inheritance in the class hierarchy.
For example, in a sealed class Shape, only Circle and Rectangle are allowed to extend it.

Read Full Article

16 Likes

Towards Data Science

148

Building AI Applications in Ruby

Ruby is often not mentioned in the context of AI applications compared to Python, but it can be a better language for building web apps with AI integration, as it offers simplicity and developer happiness.
The complexity in modern web apps, especially with single-page applications (SPAs) like MERN stack, has led to longer development times and higher costs.
Ruby on Rails (Rails) is highlighted as a framework suited for rapid development of quality apps with AI integration, offering simplicity and efficiency compared to Django in some aspects.
For AI integration, modern Rails tools like Hotwire, Turbo, and Stimulus allow crafting SPA-like experiences without heavy JavaScript, providing a mix of ease and functionality.
The rise of microservices architecture in contrast to monoliths has added complexity to app development, yet it offers scalability and the flexibility of a polyglot tech stack.
Python and Ruby, though unique in philosophy and design principles, share similarities like high-level interpretation, dynamic typing, object-oriented programming, readable syntax, and wide package ecosystems.
Recent AI-based gems in Ruby, such as RubyLLM for multi-turn conversations, Neighbors for nearest-neighbors search, Async for non-blocking I/O tasks, and Torch.rb for training deep learning models, are making waves in the Ruby community.
Building web applications with AI integration rapidly and cost-effectively often demands a monolithic architecture focusing on quality apps delivered speedily, with Ruby on Rails emerging as a favorable choice.
Research in AI or training ML models from scratch may still favor Python due to its ecosystem and libraries; however, for integrating LLMs into web apps, Ruby is considered a superior option.
Overall, choosing between Python and Ruby for AI applications depends on the project's requirements, with Ruby offering simplicity and efficiency for web development with AI integration.
The article concludes with a hint at a forthcoming part three, diving into a simple experiment on building a web app with AI integration, encouraging readers to explore Ruby's potential for their projects.

Read Full Article

8 Likes

Hackernoon

Image Credit: Hackernoon

Bitget Wallet Unveils Full-Stack Roadmap Across Trade, Earn, Pay, And Discover

Bitget Wallet unveils its product roadmap post a brand overhaul, emphasizing Trade, Earn, Pay, and Discover functionalities to simplify crypto use.
The $1 million community incentive campaign aims to accelerate adoption along with the global Champion Program to boost engagement.
Bitget Wallet now offers a comprehensive trading experience with tools like Hot Picks, real-time alerts, and one-click, gas-free Super DEX for trade execution.
Users can monitor smart money movements and utilize tools such as market charts, AI-generated summaries, and sentiment feeds within Bitget Wallet Alpha.
The wallet supports one-click staking, automated yield generation, and will introduce the Simple Yield Vault for automatic interest earning.
Future updates include support for tokenized real-world assets, an enhanced Earn Dashboard, and integration of a built-in shop for crypto payments.
Bitget Wallet focuses on simplifying onboarding with Simple Mode and enhancing security with advanced encryption and smart transaction protections.
The platform is expanding payment options, including support for national QR code systems and the Bitget Wallet Card for global crypto spending.
An AI-powered support chatbot and upgraded Discover page aim to improve user experience and navigation in the Web3 ecosystem.
With a $1 million incentive campaign and Champion Program, Bitget Wallet aims to bridge the gap between crypto and real-world usage for all users.

Read Full Article

1 Like

Medium

112

Image Credit: Medium

Mediocrity Is Good Enough, Unless You’re a Coder

Software engineers may get in conflict with other members of organizations due to the nature of their work having measurable impact and a way to evaluate correctness.
Most employees in companies may not see a direct impact of trying harder, and their performance is often judged based on their boss's feedback.
In many organizations, employees typically wait for instructions from their boss and may not have clear standards to measure if they have done the task right.
Coding, being a field that has a way to evaluate correctness, sets software engineers apart from other jobs where the output may not have such clear evaluation criteria.

Read Full Article

6 Likes

Hackernoon

298

Image Credit: Hackernoon

Bitcoin Suisse Secures In-Principle Approval From ADGM’s Financial Services Regulatory Authority

Bitcoin Suisse's subsidiary BTCS (Middle East) Ltd. has received an In-Principle Approval from the Financial Services Regulatory Authority of ADGM, marking a significant step in the company's strategic expansion into the Middle East.
The IPA will allow Bitcoin Suisse to provide regulated crypto financial services, including trading of virtual assets, crypto securities, derivatives, and local custody within the ADGM's well-regulated financial center.
ADGM is recognized for its comprehensive regulations in the virtual asset space, making it the largest regulated hub for virtual assets in the MENA region.
Bitcoin Suisse aims to leverage the progressive regulatory framework in ADGM to offer robust, transparent, and fully regulated crypto financial services to its international client base.

Read Full Article

17 Likes

Hackernoon

161

Image Credit: Hackernoon

BTCC Exchange Appoints Dan Liu As CEO Ahead Of 14th Anniversary Milestone

BTCC, a leading cryptocurrency exchange, appoints Dan Liu as its new Chief Executive Officer ahead of its 14th-anniversary milestone.
Dan Liu, with a background in both traditional finance and cryptocurrency markets, aims to continue BTCC's legacy as a pioneer in the industry while driving sustainable growth.
Liu's strategic vision has led to innovations like Tokenized Futures and Copy Trading, making BTCC more inclusive and forward-thinking in the cryptocurrency space.
Under Liu's leadership, BTCC plans to focus on global expansion, community engagement, and educational initiatives to maintain its position as a trusted and innovative exchange.

Read Full Article

9 Likes

For uninterrupted reading, download the app

Software News

Discover more