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Webkul
4w
64
Image Credit: Webkul
User Guide For CS-Cart Amazon FBM (Fulfillment by Merchant)
- CS-Cart Amazon FBM is an extension linking Amazon with CS-Cart through Fulfillment by Merchant.
- Vendors can manage Amazon orders directly from their CS-Cart Store using the connector.
- Allows managing products and orders from Amazon via the CS-Cart backend.
- Sellers handle storage, packaging, and shipping themselves with FBM rather than Amazon doing it.
- Need Amazon developer and AWS accounts along with suitable configurations for setup.
- Features include importing products and orders, order return handling, order tracking, and subscription plans.
- Real-time synchronization and admin commission on sales are significant aspects.
- Installation involves manual steps and addon configuration in CS-Cart.
- Admin earns commissions based on vendor subscription plans, leading to transparent accounting.
- Vendors manage Amazon products in CS-Cart, with settings, channel configuration, and category mapping.
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Hackernoon
4w
250
Image Credit: Hackernoon
Goodbye, Skype: A Quiet Sign-Off for a Communication Icon
- Today, Skype bids farewell, remembered for shaping communication globally.
- Skype revolutionized internet voice calls in 2003, simplifying international communication.
- Acquired by eBay and later Microsoft, Skype was integrated into various software suites.
- Despite its initial success, Skype faced a decline due to bloating interface and competition.
- Microsoft has decided to retire Skype, marking the end of an era in digital communication.
- Skype paved the way for modern communication tools like Zoom and Microsoft Teams.
- Skype's legacy lies in its simplicity and role in connecting people across the globe.
- As technology evolves, AI, spatial audio, and VR meetings shape the future of communication.
- Skype may not have been perfect, but it symbolized the possibility of a more connected world.
- Ultimately, Skype will be missed for its contribution to bridging distances and fostering connections.
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Hackernoon
4w
371
Image Credit: Hackernoon
Meet Brilli Global, Inc (Globl.ai), Winner of Startups of The Year 2024 in Atlanta, Georgia
- Brilli Global, Inc (Globl.ai) has won the Startups of the Year 2024 in Atlanta, Georgia.
- Globl.ai is an early-stage AI-SaaS startup aiming to revolutionize global software delivery through Agentic AI automation.
- Their platform, Globl.ai, offers AI agents, software access, and global talent to accelerate software delivery, reduce costs, and enhance code quality.
- Globl.ai optimizes stand-up meetings, automate sprint planning, and simplifies SAFE-PI planning for global software development teams.
- The platform also connects users with pre-vetted global talent through their network.
- Their solution addresses challenges like time zone differences, language barriers, and cultural differences with AI, enabling global talent utilization.
- They are aligned with UN SDG #8, promoting economic growth and decent work for all.
- Globl.ai stands out by offering an integrated solution exclusively for global software delivery, tackling complexity introduced by globally distributed teams.
- Their goal is to 100X economic opportunity creation by expanding to support a wider range of global business services.
- The community-centric approach, coupled with a globally distributed team, drives their success in optimizing global software delivery.
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Towards Data Science
4w
439
The CNN That Challenges ViT
- Researchers from Meta challenged the idea that ViT's performance superiority solely comes from its transformer-based architecture by applying ViT configuration parameters to ResNet model from 2015, resulting in ConvNeXt which surpassed Swin-T in performance.
- ConvNeXt involves hyperparameter tuning on ResNet model, adjusting macro design, transitioning to ResNeXt architecture, implementing inverted bottleneck structure, exploring kernel sizes, and optimizing micro designs like activation functions and layer normalization.
- Macro design changes include altering stage ratios and the first convolution layer's kernel size and stride to match non-overlapping patch treatment in ViT, improving accuracy slightly.
- ResNeXt-ification involves adjusting group convolution and widening the network to increase accuracy to 80.5% despite a drop due to reduction in model capacity.
- Experimenting with inverted bottleneck structure and kernel sizes, ConvNeXt achieved a peak accuracy of 81.5% by employing separate downsampling layers and reducing batch normalization layers.
- The ConvNeXt architecture is constructed with stem stage, subsequent ConvNeXt blocks in multiple stages, dimension reductions, avgpool layer, and fully-connected output layer, showcasing successful reduction in spatial dimensions and increased channel capacity.
- Implementation of ConvNeXt model involves ConvNeXtBlock and ConvNeXtBlockTransition classes, demonstrating the transition between stages while maintaining accuracy and capacity improvements iteratively.
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Towards Data Science
4w
246
Diffusion Models, Explained Simply
- Generative AI applications in text, image, audio, and video have seen a surge in popularity.
- Diffusion models, introduced in 2015, are core mechanisms in models like DALLE and CLIP.
- Diffusion models are essential for content generation and understanding advanced variants.
- Forward diffusion involves gradually adding noise, similar to mixing liquids in a glass.
- Reverse diffusion, like reconstructing a noisy image, is more challenging.
- Diffusion models iterate noise addition to transform images into unrecognizable states.
- Training neural networks on image pairs from diffusion steps aids in image reconstruction.
- The number of iterations and neural network architecture impact diffusion model design.
- Using a shared network across iterations can enhance training efficiency in diffusion models.
- Stable diffusion models and integrating text input are advancing image generation.
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14 Likes
Medium
4w
286
Image Credit: Medium
I’m a Good Engineer but I Suck at Building Stuff
- Many individuals, despite being good engineers, struggle when it comes to actually building something tangible.
- Often, the process gets derailed by overthinking and excessive self-criticism, leading to a cycle of constant refinement and never truly completing the project.
- The focus shifts from the end goal to perfecting the process, causing a loss of initial motivation and leaving projects unfinished.
- Reflecting on this issue has highlighted key factors such as constant self-criticism, obsession with optimization, and losing sight of the original inspiration.
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17 Likes
Medium
4w
335
Image Credit: Medium
The Rising Energy Footprint of AI: Understanding the Power Demands of AI Data Centers
- Artificial Intelligence (AI) is becoming a crucial element in various industries and everyday life, leading to a surge in energy consumption due to the demands of AI data centers.
- Training and deploying advanced AI models require significant computational power, contributing to the growing energy footprint of AI.
- AI-specific data center demand is projected to triple by 2030, potentially consuming over 1,000 terawatt-hours annually, equivalent to the electricity consumption of Japan.
- To address the environmental impact of AI's rising energy consumption, collaboration among industry leaders, researchers, and policymakers is necessary to develop smarter, cleaner, and more energy-aware systems.
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20 Likes
Dev
4w
183
Image Credit: Dev
5 Developer Productivity Hacks That Saved Our QA Testing Time by 70%
- When building a new fintech application, a team faced increased testing time, impacting release velocity and morale.
- Implemented five productivity hacks to reduce testing time while maintaining quality.
- Hacks included automated user provisioning, verification code interception, state-driven testing shortcuts, parallel testing infrastructure, and multi-account email management.
- These hacks resulted in reduced user setup time, eliminated manual code checking, shortened test setup time, decreased total execution time, and streamlined email management for testing.
- Overall, testing time was reduced by 70% from 40 hours to 12 hours per test cycle.
- Integration of all five approaches into a cohesive testing strategy automated the process and improved team focus on exploratory testing.
- Factors to consider when implementing similar approaches include test isolation, environment management, maintenance overhead, and security.
- Addressing testing friction led to a significant increase in development velocity for the team.
- Starting with automation of email management is recommended for quick wins in verification-heavy applications.
- Share your team's testing challenges and solutions in the comments section.
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11 Likes
Dev
4w
389
Image Credit: Dev
Building Efficient Test Data for Development Environments: Solving Verification Workflow Challenges
- Developers face challenges in generating and managing test user data at scale, especially for applications with email verification or multi-user testing.
- Key challenges include email verification bottlenecks, temporary data persistence issues, automation limitations, domain restrictions, and the need for testing multi-user scenarios.
- Solutions include setting up local SMTP servers, using email API services like Mailosaur or Mailtrap, and implementing dedicated testing email management solutions for persistent and scalable email accounts.
- Best practices involve creating email accounts programmatically, storing credentials securely, cleaning up test data, implementing timeout handling, and documenting the test email strategy.
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Tech Radar
4w
152
Image Credit: Tech Radar
Perplexity AI's Comet browser will streak across the web this month
- Perplexity AI is introducing the Comet browser this month, aiming to provide an AI-fueled web browsing experience.
- Comet browser will offer features like integration with Google services, personalized search responses, and the ability to reopen specific tabs.
- Privacy settings in Comet browser will include native ad-blocking and options to opt out of data sharing to address privacy concerns.
- Perplexity faces competition from Microsoft's Edge and Google Chrome in the AI browser space, highlighting the need for Comet to provide intuitive AI assistance.
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Pymnts
4w
281
Image Credit: Pymnts
Financial Supply Chains Are Only as Strong as Their Riskiest Vendors
- Financial supply chains are only as strong as their riskiest vendor, as vulnerabilities from a compromised vendor can have negative ripple effects on various firms and end customers.
- J.P. Morgan Chase's Chief Information Security Officer warned that SaaS providers for banks are vulnerable to hacks and cyberattacks, emphasizing the need for security measures and prioritization.
- There are risks intrinsic to the SaaS model, including inadequate security measures, privileged access to customer systems, and dependencies on vulnerable third-party relationships.
- The increasing adoption of the Banking as a Service (BaaS) model brings inherent risks due to its fragmentation of responsibilities, making it vulnerable to compliance lapses and cyber threats.
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Hackernoon
4w
67
Image Credit: Hackernoon
Cryptocurrencies Powering Sustainability: The FBD Token's Role In Green Construction
- The digital transformation is crucial for addressing environmental concerns and driving cost savings in industries.
- Blockchain technology, specifically the FBD token by Fibo Industrial Group, is revolutionizing the construction industry towards sustainability.
- FBD token represents Real-World Assets and enables integration with the Fiboard ecosystem for green architecture projects.
- FBD simplifies funding for sustainable construction, promoting transparency and accessibility for investors and supporters.
- It facilitates tokenization of eco-friendly materials, decentralized fundraising, and smart contracts for honest project management.
- Staking FBD tokens supports green building projects while promoting community-driven change.
- The system tracks progress transparently, reducing delays, minimizing risks, and building confidence among stakeholders.
- FBD aims to make funding easier, costs lower, timelines faster, trust higher, and public engagement broader in the construction industry.
- It empowers individuals to support sustainable projects and become advocates for change, creating momentum for a greener future.
- Fiboard's FBD token signifies a new approach to sustainable construction, offering a more inclusive and transparent financial system.
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Hackernoon
4w
290
Image Credit: Hackernoon
BC.GAME Launches Phase 2 Of Social Mining Campaign, Expanding Ecosystem Engagement With $BC Token
- BC.GAME has launched the second phase of its $BC mining event on May 1, 2025, following the success of the first phase which attracted thousands of users through daily rewards and social mining.
- The upcoming campaign features a 1 billion $BC pool, with 50 million $BC released daily, aiming to establish an engaging ecosystem that rewards user contributions through gameplay and community expansion.
- The platform ensures transparency in airdrop distribution using Merkle tree proofs, with $BC tokens already utilized for in-game payments, rewards, and platform events across the ecosystem.
- Participation in Phase 2 is open to all BC.GAME users, with points earned through gameplay or inviting others to join. Participants can redeem points at a rate of 10 points per 1 $BC token, with a referral bonus structure in place.
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Tech Radar
4w
89
Image Credit: Tech Radar
'We want to build a brain for the world' – Sam Altman makes a crucial decision about the future of OpenAI, and it may determine the future of ChatGPT and AGI
- OpenAI CEO Sam Altman has outlined plans to keep OpenAI running under the oversight of a non-profit and transition its profit side to a Public Benefit Corporation (PBC) to serve the good of society.
- The focus is on providing tools to everyone, open-sourcing capable models, and giving users freedom in using tools like ChatGPT within broad boundaries.
- The shift in approach towards AI comes as OpenAI aims to build a brain for the world, especially with the prospect of Artificial General Intelligence (AGI) on the horizon.
- The future of OpenAI, ChatGPT, and AGI remains uncertain as questions linger about the impact of the non-profit overseer and the company's focus on both public good and profit.
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TechBullion
4w
31
Image Credit: TechBullion
How to Balance Automation and Human Touch in Software Projects
- In the software development realm, finding the right equilibrium between automation and human input is pivotal for project triumph.
- Strategies like strategic checkpoints and human-AI collaboration uphold this harmony, enabling projects to optimize outcomes.
- Maintaining human oversight for critical transitions and decision points, while automating repetitive processes, is a valuable guideline.
- This balanced approach was exemplified during a project migrating legacy product infrastructure to Google Kubernetes Engine at Unity.
- In the world of ERP implementations and enterprise software rollouts, a common rule emerged: automate what's trusted, review what's irreversible.
- Notably, automation was leveraged to streamline workflows, handle data validation, and reduce errors, but human judgment was kept integral for pivotal decisions.
- Automation was utilized for candidate qualification in a recruitment platform, but human oversight was crucial for final hiring decisions.
- An essential principle observed across projects was the necessity of human intervention in scenarios where automation might fall short, safeguarding against critical errors.
- Embracing AI in decision-making requires a dual approach: let automation operate freely but ensure human-led reviews before deployment to maintain accountability.
- In essence, the crux lies in empowering decision-makers with technology without compromising human control, especially evident in the realm of AI algorithms in diverse applications.
- The emphasis on clear guidelines, structured human oversight, and feedback loops ensures a successful blend of automation and human judgment in software projects.
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