Figma introduces Figma Specs, code layers in open beta, MCP integrations, and Payload CMS features to help AI agents adhere to brand design system rules.
Elon Musk's comments during SpaceX's Q3 earnings call about rapidly expanding AI computing capacity sparked a premarket rally in chip stocks including NVIDIA, Intel, and SanDisk. Musk expects to increase SpaceX's AI compute power to 2.5-3 gigawatts by year-end and add up to 13 gigawatts in 2027, signaling strong future demand for AI chips. Despite this, the rally's sustainability remains uncertain as Musk leases compute capacity on spot market rates without long-term contracts. The market will…
Many companies cannot say what their AI agents did yesterday. Two former Doppel engineers built an open-source tool that records what agents do, and a Wall Street trading firm discovered them while testing it on its own machines. Asymptote Labs just raised $5.5M to turn that record into real-time defense.
SpaceX just told investors its AI compute pays back faster than almost anyone expected, and now Michael Burry is betting that confidence will crack. Two earnings reports in the coming weeks will decide who is right.
One quote from Elon Musk sent chip stocks surging in premarket trading, but whether that momentum signals a real turning point or just a brief relief rally is what the rest of October will decide.
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Background: Four-fold accelerated sensitivity encoding (SENSE4) can shorten brain MRI acquisition time but may amplify noise and result in residual aliasing artifacts after conventional reconstruction. Purpose: To evaluate whether an image-domain refinement framework can…
Multimodal large reasoning models (MLRMs) have demonstrated remarkable capabilities in complex visual understanding. However, this very power introduces a critical yet underexplored privacy threat: adversaries can exploit MLRMs to precisely infer users' geographic locations…
Conventional tokenizers represent text as characters or statistically derived subwords, overlooking the internal phonological structure of syllables and often requiring large vocabularies. We introduce \textbf{Phonemic Tokenizer}, a linguistically motivated tokenizer for…
High-speed tracking of small, fast-moving organisms in their natural environments is important to better understand their behavior and ecology. Traditional frame-based imaging suffers from motion blur due to low temporal resolution, and data storage limitations, propelling a…