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#  Introduction 
  Data is a company's most significant resource, and insights from data could make the difference between profit and failure. However, raw data is hard to understand, so we visualize it in dashboards so non-technical people can better navigate it. 
Building a dashboard is not straightforward, especially…
		In the domain of multimodal AI, instruction-based image editing models are transforming how users interact with visual content. Just released in August 2025 by Alibaba’s Qwen Team, Qwen-Image-Edit builds on the 20B-parameter Qwen-Image foundation to deliver advanced editing capabilities. This model excels in semantic editing (e.g., style transfer and novel view synthesis) and appearance editing…
		Current AI benchmarks are struggling to keep pace with modern models. As helpful as they are to measure model performance on specific tasks, it can be hard to know if models trained on internet data are actually solving problems or just remembering answers they've already seen. As models reach closer to 100% on certain benchmarks,…
		Embodied AI agents that can perceive, think, and act in the real world mark a key step toward the future of robotics. A central challenge is building scalable, reliable robotic manipulation, the skill of deliberately interacting with and controlling objects through selective contact. While progress spans analytic methods, model-based approaches, and large-scale data-driven learning, most…
		Beyond KYC: The New Battleground for Revenue Acceleration Studies show that when onboarding lag stretches into days, insurers lose up to 25% of prospective group business, as brokers and buyers drop off in frustration. And while sector-wide data specific to group onboarding drop-off is limited, insurance backlogs are well-documented to hamper growth and damage retention.…
		Image by Author  
 
#  Introduction 
  Stress testing is crucial for understanding how your application behaves under heavy load. For machine learning-powered APIs, it is especially important because model inference can be CPU-intensive. By simulating a large number of users, we can identify performance bottlenecks, determine the capacity of our system, and ensure reliability.…
		
        
        
        
            
Meta AI has just released DINOv3, a breakthrough self-supervised computer vision model that sets new standards for versatility and…
		The last few months have been an exciting time for the Gemma family of open models. We introduced Gemma 3 and Gemma 3 QAT, delivering state-of-the-art performance for single cloud and desktop accelerators. Then, we announced the full release of Gemma 3n, a mobile-first architecture bringing powerful, real-time multimodal AI directly to edge devices. Our…
		Amazon has reached a remarkable milestone by deploying its one-millionth robot across global fulfillment and sortation centers, solidifying its position as the world’s largest operator of industrial mobile robotics. This achievement coincides with the launch of DeepFleet, a groundbreaking suite of foundation models designed to enhance coordination among vast fleets of mobile robots. Trained on…
		Code and Content Gen AI is among the most adopted and highest RoI AI use cases among enterprises Everyone’s probably already heard that Goldman Sachs built an internal AI platform called GS AI platform but here’s how they did it.  TLDR  Built behind the Firewall - GS’ AI platform hosts  GPT - 4, Gemini, Llama,…