Target Darts Omni Auto Scoring System Hits the Mark
Step up to the oche and hit the bull’s-eye with this automatic darts scoring system for online play.
Step up to the oche and hit the bull’s-eye with this automatic darts scoring system for online play.
made a short video with LTX-2 using an iCloRA Flow to recreate a Space Jam scene, but swap Michael Jordan with Deni Avdija. Flow (GitHub): https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/LTX-2_ICLoRA_All_Distilled.json My process: I generated an image of each shot that matches the original as closely as possible just replacing MJ with Deni. I loaded the original video in the …
Read more “Deni Avdija in Space Jam with LTX-2 I2V + iCloRA. Flow included”
The composition of objects and their parts, along with object-object positional relationships, provides a rich source of information for representation learning. Hence, spatial-aware pretext tasks have been actively explored in self-supervised learning. Existing works commonly start from a grid structure, where the goal of the pretext task involves predicting the absolute position index of patches …
Read more “How PARTs Assemble into Wholes: Learning the Relative Composition of Images”
Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms how you can obtain validated JSON responses from foundation models through constrained decoding for schema compliance. This represents a paradigm shift in AI application development. Instead of validating JSON responses and writing fallback logic for when they fail, you can move straight to …
Read more “Structured outputs on Amazon Bedrock: Schema-compliant AI responses”
As generative AI moves from experimentation to production, platform engineers face a universal challenge for inference serving: you need low latency, high throughput, and manageable costs. It is a difficult balance. Traffic patterns vary wildly, from complex coding tasks that require processing huge amounts of data, to quick, chatty conversations that demand instant replies. Standard …
Read more “How we cut Vertex AI latency by 35% with GKE Inference Gateway”
The government has withheld details of the investigation of Renee Good’s killing—but an unrelated case involving the ICE agent who shot her could force new revelations.
Inspired by the shape-shifting skin of octopuses, Penn State researchers developed a smart hydrogel that can change appearance, texture, and shape on command. The material is programmed using a special printing technique that embeds digital instructions directly into the skin. Images and information can remain invisible until triggered by heat, liquids, or stretching.
A team of EPFL researchers has taken a major step towards resolving the problem of drift in generative video, which is what causes sequences to become incoherent after a handful of seconds. Their breakthrough paves the way to AI videos with no time constraints.
Just a few samples from a lora trained using Z image base. First 4 pictures are generated using Z image turbo and the last 3 are using Z image base + 8 step distilled lora Lora is trained using almost 15000 images using ai toolkit (here is the config: https://www.reddit.com/r/StableDiffusion/comments/1qshy5a/comment/o2xs8vt/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button ). And to my surprise …
AI agents that use tools, make decisions, and complete multi-step tasks aren’t prototypes anymore.