January 2026

benchANT compares MongoDB and ScyllaDB  architectures, with a focus on what the differences mean for performance and scalability When choosing a NoSQL database, the options can be overwhelming. One of the most popular choices is MongoDB, known for its easy use. But the highly performance-oriented ScyllaDB is one of the rising challengers. This benchANT report takes a closer technical look at both databases – comparing their architectures from an independent, technical angle. Both MongoDB and ScyllaDB promise a high-available, performant […]

Ver mais

Crypto wallets often force users to choose between security, privacy, and usability. Since 2017, Mixin Messenger has been quietly building a different paradigm. With over $1 billion in assets under management and support for 2,900+ assets across 42 blockchains, the platform represents a contrarian bet: that users shouldn’t have to sacrifice self-custody for a Web2-like experience. Today, we sit down with Sonny Liu, CMO at Mixin, to understand how they’re rethinking the relationship between social communication, asset privacy, […]

Ver mais

Theoretical optimizations can backfire in practice. We learned this the hard way at DoorDash when a “smart” HashMap change made latency worse. After years optimizing 50M+ monthly requests, here’s what actually works: measure tail latencies not averages, layer your caching with jittered TTLs, profile real workloads instead of trusting Big O, and treat performance as a practice not a project. Your intuition about what’s slow might probably be wrong.

Ver mais

This study proposes an efficient Densely Swin Hybrid (EDSH) framework for brain tumor MRI analysis, designed to jointly capture fine grained texture patterns and long range contextual dependencies. Two tumor aware experimental setups are introduced to address class-specific diagnostic challenges. The first setup employs a Boosted Feature Space (BFS), where independently customized DenseNet and Swint branches learn complementary local and global representations that are dimension aligned, fused, and boosted, enabling highly sensitive detection of diffuse glioma patterns by […]

Ver mais

This paper presents a strictly convex chance-constrained stochastic control framework that accounts for uncertainty in control specifications such as reference trajectories and operational constraints. By jointly optimizing control inputs and risk allocation under general (possibly non-Gaussian) uncertainties, the proposed method guarantees probabilistic constraint satisfaction while ensuring strict convexity, leading to uniqueness and continuity of the optimal solution. The formulation is further extended to nonlinear model-based control using exactly linearizable models identified through machine learning. The effectiveness of the […]

Ver mais

Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Flow-Matching Meets Voice Generation Another week, another AI breakthrough that changes everything we thought we knew about voice generation. This time, it’s Alibaba’s Qwen team dropping their entire Qwen3-TTS family into the open-source wild. Qwen3-TTS family models provide efficient real-time voice cloning and multi-language generation.The article discusses Alibaba’s release of the Qwen3-TTS voice generation technology, which allows users to clone voices in just 3 seconds while generating natural-sounding […]

Ver mais