Export Your ML Model in ONNX Format
When building machine learning models, training is only half the journey.
When building machine learning models, training is only half the journey.
Marketing teams face major challenges creating campaigns in today’s digital environment. They must navigate through complex data analytics and rapidly changing consumer preferences to produce engaging, personalized content across multiple channels while maintaining brand consistency and working within tight deadlines. Using generative AI can streamline and accelerate the creative process while maintaining alignment with business …
During a hearing at the US Senate, Netflix co-CEO Ted Sarandos said the company is working with the US government on guardrails against more price hikes.
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the battery can undergo before its capacity drops below 90% of its design capacity.
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You have mastered model.
To advance Polar code design for 6G applications, we develop a reinforcement learning-based universal sequence design framework that is extensible and adaptable to diverse channel conditions and decoding strategies. Crucially, our method scales to code lengths up to 2048, making it suitable for use in standardization. Across all (N,K)(N, K)(N,K) configurations supported in 5G, our …
Read more “A Reinforcement Learning Based Universal Sequence Design for Polar Codes”
This post is cowritten with James Luo from BGL. Data analysis is emerging as a high-impact use case for AI agents. According to Anthropic’s 2026 State of AI Agents Report, 60% of organizations rank data analysis and report generation as their most impactful agentic AI applications. 65% of enterprises cite it as a top priority. …
In his book The Intimate Animal, sex and relationships researcher Justin Garcia says people have miscalculated their need for human intimacy, which is the real issue at the root of the loneliness epidemic.
ComfyUI-CacheDiT brings 1.4-1.6x speedup to DiT (Diffusion Transformer) models through intelligent residual caching, with zero configuration required. https://github.com/Jasonzzt/ComfyUI-CacheDiT https://github.com/vipshop/cache-dit https://cache-dit.readthedocs.io/en/latest/ “Properly configured (default settings), quality impact is minimal: Cache is only used when residuals are similar between steps Warmup phase (3 steps) establishes stable baseline Conservative skip intervals prevent artifacts” submitted by /u/Scriabinical [link] [comments]