AI and machine learning already power two main pathways: 1️⃣ Sign Language Recognition – translating signs into text or speech. 2️⃣ Sign Language Generation – producing signs or animations from text or speech. But there’s a third direction emerging — and it could change everything. 🤖 Sign ↔ Gloss ↔ Sign Imagine this: A Deaf user walks up to a McDonald’s kiosk or activates Siri. They sign “COFFEE.”The screen instantly shows “COFFEE ✅” , with related options like “TEA” or “

Recently, I’ve seen growing interest in tools like Sign-Speak and SignGemma — both exploring how AI can better understand sign language, not just display it. 🧠 Sign-Speak focuses on real-time sign-to-text and sign-to-voice translation, giving Deaf users and interpreters more direct ways to communicate.🤖 SignGemma , from Google DeepMind, explores sign language recognition using large-scale AI models. Out there, we already see many providers creating audio-to-text , tex

📱 I recently shared a blog about inclusive pharmacy packaging — how Braille helps blind users identify medications by touch and hearing...

As a Deaf BSL user who wears a bodycam, I’ve thought a lot about how technology could better capture sign language communication for...