Myriad Markets partners with @TrustWallet to become the first ever native Prediction Market product inside a wallet.
Trusted by over 200 million people, Trust Wallet will make Myriad Markets' on-chain predictions accessible in a way the industry has never seen before.
Nick and Simoun are talking about the Stalecoin technology now!
TBook is the StableFi Layer for the Digital Workforce.
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You’ll get much more than SBTs, WISE Score…
So, the Fed recently cut interest rates—and more cuts are coming.
As benchmark rates fall, DeFi yields start to shine. Higher-yield RWAs are about to look reeeal juicy.
At TBook, we’re building the plumbing to distribute RWA yields at scale—so issuers get reach, and investors get access.
And if your WISE Score is high enough, you’ll get even more access! 😉
Click to generate your WISE Score: https://t.co/w7afr3A6o5
MYRIAD is now live on @BNBCHAIN!
👉 https://t.co/uAbv5Hor5X
LIVE NOW:
- Automated Markets, continuous 5-minute price action markets with auto resolution.
- Full BNB Chain support with EVM wallet sign-in options and native bridging.
- Leaderboard activity with full volume/points integration.
COMING SOON:
- BNB Chain markets for ecosystem tokens, communities and events.
- Localized support with Mandarin language options.
- Deeper expansion and support of Asia markets.
The first-ever @xeetdotai leaderboard is live now with MYRIAD!
No less than 1 Billion $MYR Points have been allocated for this event.
Create content about Myriad → Climb the leaderboard → Earn MYR points.
Join the MYRIAD story now - All details below ↓
Media2Face
Co-speech Facial Animation Generation With Multi-Modality Guidance
project page: https://t.co/CbwV47BQjf
The synthesis of 3D facial animations from speech has garnered considerable attention. Due to the scarcity of high-quality 4D facial data and well-annotated abundant multi-modality labels, previous methods often suffer from limited realism and a lack of lexible conditioning. We address this challenge through a trilogy. We first introduce Generalized Neural Parametric Facial Asset (GNPFA), an efficient variational auto-encoder mapping facial geometry and images to a highly generalized expression latent space, decoupling expressions and identities. Then, we utilize GNPFA to extract high-quality expressions and accurate head poses from a large array of videos. This presents the M2F-D dataset, a large, diverse, and scan-level co-speech 3D facial animation dataset with well-annotated emotional and style labels. Finally, we propose Media2Face, a diffusion model in GNPFA latent space for co-speech facial animation generation, accepting rich multi-modality guidances from audio, text, and image. Extensive experiments demonstrate that our model not only achieves high fidelity in facial animation synthesis but also broadens the scope of expressiveness and style adaptability in 3D facial animation.
Taiyi-Diffusion-XL
Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support
paper page: https://t.co/MdZUB5yUUk
model: https://t.co/zYlIK0IspV
demo: https://t.co/ru3PNhwFs4
Recent advancements in text-to-image models have significantly enhanced image generation capabilities, yet a notable gap of open-source models persists in bilingual or Chinese language support. To address this need, we present Taiyi-Diffusion-XL, a new Chinese and English bilingual text-to-image model which is developed by extending the capabilities of CLIP and Stable-Diffusion-XL through a process of bilingual continuous pre-training. This approach includes the efficient expansion of vocabulary by integrating the most frequently used Chinese characters into CLIP's tokenizer and embedding layers, coupled with an absolute position encoding expansion. Additionally, we enrich text prompts by large vision-language model, leading to better images captions and possess higher visual quality. These enhancements are subsequently applied to downstream text-to-image models. Our empirical results indicate that the developed CLIP model excels in bilingual image-text retrieval.Furthermore, the bilingual image generation capabilities of Taiyi-Diffusion-XL surpass previous models. This research leads to the development and open-sourcing of the Taiyi-Diffusion-XL model, representing a notable advancement in the field of image generation, particularly for Chinese language applications. This contribution is a step forward in addressing the need for more diverse language support in multimodal research.
The world is a dangerous place.
The diagram below shows some possible network attacks in 7 OSI model layers.
🔹 Application Layer
- Pushing
- Malware injection
- DDos attacks
🔹 Presentation Layer
- Encoding/decoding vulnerabilities
- Format string attacks
- Malicious code injection
🔹 Session Layer
- Session hijacking
- Session fixation attacks
- Brute force attacks
🔹 Transport Layer
- Man-in-the-middle attacks
- SYN/ACK flood
🔹 Network Layer
- IP spoofing
- Route table manipulation
- DDos attacks
🔹 Data Link Layer
- MAC address spoofing
- ARP spoofing
- VLAN hopping
🔹 Physical Layer
- Wiretapping
- Physical tampering
- Electromagnetic interference
Over to you - What did we miss?
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