Sharing a 1.04" AMOLED display module designed for compact smart devices and embedded applications. With vivid visuals, responsive touch interaction, and a compact form factor, it is ideal for next-generation wearable and IoT interfaces. #AMOLED #EmbeddedSystems #WearableTech

We all use AI text humanizers to make generic ChatGPT output sound alive, raw, and authentic. But why are we completely ignoring UI? Open any new SaaS launch today, and you can instantly spot the robotic footprint. The exact same grid, the exact same spacing, the same sterile boxes. Interfaces need a humanizer layer just as much as copy does.

I have a world with many expanding architectures filled with dynamically generated rooms, each containing webgl2 glsl3 gpu particle and light shader design experiments for surfaces and spatial computing interfaces, I'll make a maze with some of the more aesthetic ones

Step-1: Learn Go Step-2: Master structs, interfaces & pointers Step-3: Learn goroutines & channels Step-4: Build an HTTP server with std-lib Step-5: Read the Go runtime & standard library source. Embrace humility Step-6: Build a production-grade backend (REST/gRPC, DB, caching, etc) Step-7: Make it load-bearing Step-8: Learn profiling & optimization (pprof, trace, benchmarks) Step-9: deploy with Docker (& K8s) Step-10: Ship it

Microsoft has open-sourced SwiftStreamingMarkdown on GitHub, a rendering library for iOS designed to address performance bottlenecks in streaming Markdown text rendering within chat interfaces for large model applications. It offers mobile developers an efficient solution for smooth display and reading experience of AI-generated text word by word, overcoming limitations of traditional parsers in handling text streams..... 微软在GitHub开源了专为iOS设计的SwiftStreamingMarkdown渲染库，旨在解决大模型应用在聊天界面中Markdown文本流式渲染的性能瓶颈。该库为移动端开发者提供高效方案，应对AI对话时逐字生成文本的流畅展示与阅读体验挑战，弥补传统解析器在处理文本流时的不足。

Hybrid Deep Learning Techniques for Securing Bioluminescent Interfaces in Internet of Bio Nano Things #Luciferase #MedicalIoBNT mdpi.com/1424-8220/23/21/897…

the need for userfriendly interfaces is evergrowing

The best interfaces make users feel confident. Not overwhelmed. #AIStartup #UX #ProductDesign #AI

Not the whole, but commutative diagrams, functors, etc feel like software.objects with interfaces and transformations that must compose correctly. systems thinking is intuitive to some, same way analysis or PDE intuition is immediate to others. Different mathematical temperaments

Investigating Metamorphic Fuzz Oracle Enhancement via Large Language Models: Fuzz drivers are essential components of greybox fuzzing, as they encapsulate target interfaces, define test spaces, and largely determine fuzzing effectiveness. Existin… fuzzing.ift.tt/oGJKkS5

Unified interfaces reduce friction in market decision making

Nice website! Cool AI enables to build more creative interfaces 🙌

Great read! Satya's describing the learning loop for the firm. I think it's part of something much broader: across every field, the things we build are beginning to improve on their own the more they're used. Take how we build software. It still runs like a relay. AI-infused tools made each leg faster, but a relay staffed by agents is still a relay. The product still ships frozen until the next rebuild. The teams whose products learn and improve on their own will pull away from the ones still running the relay. For the last decade, I led engineering teams on 0-to-1 products at Apple, including Vision Pro and AI/ML research into future-facing interfaces. After years of shipping world-class products that go live, but are still frozen in time, I'm convinced that the next generation of software won't work that way, so I left to build it for the domain I know best. If this resonates, I'd love to hear from you: feel free to DM me.

Hot take: There’s no better AI than Gemini for UI work. Other models are cool, but Gemini is on another level for UI. Who else is team Gemini for interfaces? #Gemini #UI #UX #AIDesign

will keep trying, check out what I am building, just quoted your tweet, it interfaces to my 25 agents, and delegates things!

A lot of progress has been made in models that do low-latency text to speech and speech to text. These are so important to give agents and robots the ability to conduct proper conversations with people. Voice interfaces for agents really do feel like the next natural step for so many different workflows. I've used Kokora and Chatterbox. CosyVoice seems really interesting too. #AHTechAndAI

It’s made me think a lot about the gap between “AI makes building easier” and the reality of data access costs. You can generate code and interfaces quickly, but if the underlying data is paywalled or restricted, a lot of ideas stay stuck in the prototype phase.