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System Design Interview Questions: A Handy Collection

Data Analytics4 days ago4Views 0Likes 0Comments

# Introduction Even as AI can now generate huge amounts of code, system design remains one of the few skills that cannot be easily replaced. Writing code is only one part of building real products. Designing scalable, reliable, and efficient systems still requires experience, trade-offs, stakeholder discussions, and strong engineering judgment. That is…

Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference

AI News4 days ago5Views 0Likes 0Comments

Liquid AI just released LFM2.5-VL-450M, an updated version of its earlier LFM2-VL-450M vision-language model. The new release introduces bounding box prediction, improved instruction following, expanded multilingual understanding, and function calling support — all within a 450M-parameter footprint designed to run directly on edge hardware ranging from embedded AI modules like NVIDIA Jetson Orin, to mini-PC…

We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks.

OpenAI4 days ago3Views 0Likes 0Comments

The Asia-Pacific region is a global engine for economic growth, but it's also highly vulnerable to climate change. While green technologies are gaining momentum, a recent report shows they aren’t scaling fast enough to keep up with the region’s rising environmental risks. To help innovators tackle these environmental challenges, we’re launching an inaugural Google DeepMind…

SAP Sapphire 2026: The Complete Breakdown

Uncategorised4 days ago3Views 0Likes 0Comments

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TurboQuant: Is the Compression and Performance Worth the Hype?

Data AnalyticsMay 16, 20264Views 0Likes 0Comments

# Introduction TurboQuant is a novel algorithmic suite and library recently launched by Google. Its goal is to apply advanced quantization and compression to large language models (LLMs) and vector search engines — indispensable elements of retrieval-augmented generation (RAG) systems — to improve their efficiency drastically. TurboQuant has been shown to successfully reduce…

Google DeepMind Introduces Vision Banana: An Instruction-Tuned Image Generator That Beats SAM 3 on Segmentation and Depth Anything V3 on Metric Depth Estimation

AI NewsMay 16, 20263Views 0Likes 0Comments

For years, the computer vision community has operated on two separate tracks: generative models (which produce images) and discriminative models (which understand them). The assumption was straightforward — models good at making pictures aren’t necessarily good at reading them. A new paper from Google, titled “Image Generators are Generalist Vision Learners” (arXiv:2604.20329), published April 22,…

Gemini 3 Pro Image model from Google DeepMind

OpenAIMay 16, 20262Views 0Likes 0Comments

How Nano Banana Pro helps you bring any idea or design to life Nano Banana Pro can help you visualize any idea and design anything — from prototypes, to representing data as infographics, to turning handwritten notes into diagrams. With Nano Banana Pro, now you can: Generate more accurate, context-rich visuals based on enhanced reasoning,…

AI Bias in Hiring: Disasters & Fixes That Work

Human AiMay 16, 20265Views 0Likes 0Comments

Ever built a model that nailed 95% accuracy… but tanked for half your users? Yeah, me too. Spent weeks on data. Trained overnight. Launched with hype. Then complaints rolled in. “Why does it always pick the same type?” Ouch. That’s bias sneaking in. Not some abstract tech term. It’s when systems spit out unfair results…

Guardrails for LLMs: Measuring AI ‘Hallucination’ and Verbosity

Data AnalyticsMay 11, 20265Views 0Likes 0Comments

# Introduction Large language models (LLMs) have a taste for using "flowery", sometimes overly verbose language in their responses. Ask a simple question, and chances are you may get flooded with paragraphs of overly detailed, enthusiastic, and complex prose. This usual behavior is rooted in their training, as they are optimized to be…

Meta AI Releases Sapiens2: A High-Resolution Human-Centric Vision Model for Pose, Segmentation, Normals, Pointmap, and Albedo

AI NewsMay 11, 20266Views 0Likes 0Comments

If you’ve ever watched a motion capture system struggle with a person’s fingers, or seen a segmentation model fail to distinguish teeth from gums, you already understand why human-centric computer vision is hard. Humans are not just objects, they come with articulated structure, fine surface details, and enormous variation in pose, clothing, lighting, and ethnicity.…