Direct-a-Video: driving Video Generation

Direct-a-Video is a text-to-video generation framework that allows users to individually or jointly control the camera movement and/or object motion. Authors: City University of HK, Kuaishou Tech & Tianjin.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅ Decoupling camera/object motion in gen-AI
✅ Allowing users to independently/jointly control
✅ Novel temporal cross-attention for cam motion
✅ Training-free spatial cross-attention for objects
✅ Driving object generation via bounding boxes

Paper: https://arxiv.org/pdf/2402.03162.pdf
Project: https://direct-a-video.github.io/

መልካም በዓል
@techinethio

X Introduces AI-Powered News Summaries with Grok👌
source

@techinethio

what is your os?

Did you know there's a really cool Sign Language Translator Glove out there?

Meet the BrightSign Glove...this nifty gadget translates sign language into spoken words and text right as you sign! It's perfect for making conversations smoother in school, work, or when you're just out and about. Really, it’s a game changer for anyone using sign language. Talk about a smart way to bridge communication gaps!

@techinethio
#Brightsignglove

Here's another glove invention by two nineteen-year-old kids back in 2016. Imagine being nineteen and coming up with such a cool invention!

@techinethio
#translatorgloves

Here is my prompt asking ChatGPT if it is possible to use AI for real-time translation between sign language and spoken language.

Hey, do you think AI could be used for real-time translation between sign language and spoken language? I've heard about gloves that can perform translations, but how can AI improve the efficiency of this process? Explain shortly

And Here is the response:

Yes, AI can definitely be used to improve the real-time translation between sign language and spoken language. While devices like gloves can capture the movements and positions of the hands and fingers to interpret sign language, AI can enhance the accuracy and efficiency of this process in several ways:

Gesture Recognition: AI algorithms can be trained on large datasets of sign language gestures, enabling them to recognize and interpret a wide range of signs with high accuracy. This is more sophisticated than simpler sensor-based systems, as AI can account for nuances and variations in individual sign language usage.
Contextual Understanding: AI can use natural language processing (NLP) to understand and generate contextually appropriate translations. Unlike basic word-for-word translation, AI can analyze whole sentences or conversations to provide more accurate and meaningful translations.
Non-Manual Signals: Sign language isn't only about hand movements; facial expressions and body language also play a crucial role. AI can integrate visual recognition technologies to interpret these non-manual signals, providing a more comprehensive translation.
Real-time Processing: Advanced AI models can process inputs and provide outputs nearly instantaneously, which is crucial for real-time communication. Improvements in computing power and optimization of AI models further enhance this capability.
Learning and Adaptation: AI systems can continue to learn and improve over time. They can adapt to the personal signing style of a user, learn new signs and idioms, or update their translations based on feedback.
In summary, AI can significantly enhance the translation of sign language to spoken language by leveraging deep learning for more accurate gesture recognition, contextual translation, and real-time processing, creating a more effective and user-friendly communication tool.

@techinethio

🎙 Techኢት Podcast Special Episode Announcement! 🎙

Hey Techኢት family, we are delighted to announce that the Techኢት team recently visited Dengene. Dengene is a company that provides enterprise-grade professional services from its Africa-based innovation hub, helping organizations leverage technology investments and adapt to industry disruptions at a cost-effective rate.

During our visit, our team had the privilege of meeting Birhanu Yilma and Yeheyis Girmaselassie, the visionary minds behind Dengene. We recorded an interview with them, and we're excited to share it with you on episode 15 of this season's Techኢት podcast.

@techinethio
#podcast #dengene

The struggle is real 😭😭

Check the original post here

@techinethio

Asking the right questions is very important 😂
#chatgpt #ai
@TechInEthio

🔍 OpenAI Set to Launch Web Search Service, Challenging Google’s Dominance

OpenAI, bolstered by Microsoft, is developing a web search product that positions the AI research company in direct competition with Google. This initiative, which integrates Bing’s capabilities, represents a significant step in the evolving landscape of search engines, emphasizing the growing role of artificial intelligence in shaping online search experiences.

🧐 You can read the full article here

Source: contxto.com

#ai_news

Imagine an AI that knows your history and guides your decisions. On this blog, discover how a personal AI helps Beti navigate a romantic proposal by analyzing her past.

fellow Vim user, where are you?

Hey my fellow designer fam, this is an amazing opportunity organized by telegram. Check it out.

@designguru01

If you have an exit exam, this application may be beneficial to you.

When logging in, please enter the referral code as follows:
Referral Code: "cstafesebiruk2346894689"

Please note that this code is case-sensitive, so ensure that you enter it exactly as provided.
https://play.google.com/store/apps/details?id=com.dreamtech.exitexam

@techinethio
#ExitExam #Ethioexitexam

Quantum machine learning is a rapidly growing interdisciplinary field that combines quantum computing and machine learning techniques. Quantum computing has the potential to greatly enhance machine learning algorithms by providing more powerful computational capabilities.
@techinethio
#QML