ferrari uses ibm ai to boost fan engagement
ferrari partners with ibm to overhaul its fan app with ai-driven storytelling and personalization, aiming to turn casual followers into lifelong supporters.
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ferrari partners with ibm to overhaul its fan app with ai-driven storytelling and personalization, aiming to turn casual followers into lifelong supporters.
elon musk's xai uses natural gas turbines for ai data centers while spacex touts space-based solar power, raising doubts about his clean energy commitment.
a collection of 10 github repositories covering system design fundamentals, interview questions, and specialized topics for mobile and frontend roles.
a new method called goen uses multi-scale features and mahalanobis distance to beat deep ensembles on out-of-distribution detection, while revealing that centerloss harms performance.
a new method generates complex theory of mind scenarios where an observer's view of another agent clashes with their own belief, challenging llms with recursive reasoning.
nvidia releases diffusion language models that generate multiple tokens in parallel and refine them, offering faster inference and flexible modes.
the ntsb temporarily closed its docket system after ai-generated cockpit audio from a fatal ups crash spread online, raising privacy and ethical concerns.
some ai startups report contracted but not yet live revenue as annual recurring revenue, misleading investors and the public.
ai-driven demand for high-bandwidth memory is squeezing supply of regular ram, making cheap devices more expensive.
the pytorch foundation seeks new ambassadors to lead local communities, create tutorials, and mentor users, with applications open until june 18, 2026.
a look at ai hardware, smarter models, and research that questions common assumptions.
a prototype of google's android xr glasses with in-lens display shows promise for translation and navigation, but image quality and eye strain need work.
a reinforcement learning framework teaches llms to orchestrate cad generation, cae solving, and geometry revision until constraints are met.
a 3b specialized model outperformed frontier apis at lower cost, showing training alignment matters more than parameter count.
a small fraction of autoregressive model requests can loop into repetition, inflating batch inference time by over 40% and exposing a blind spot in standard benchmarks.
a tutorial shows how to give gemma 4 tools for local filesystem exploration and restricted python execution, making it more agentic.
a new study extends fastkan by using leave-one-out cross-validation to set kernel shape parameters and adding matern and wendland kernels for more flexible function approximation.
a new method trains language models to predict which research ideas will work better without running experiments, using a dataset of 11,488 idea pairs from paperswithcode.