vertu launches ai foldable for executives at $6,880
luxury phone maker vertu unveils alphafold, a foldable smartphone with an ai agent for enterprise workflows, targeting ceos and affluent buyers.
aiplain 200-word summaries of important ai and data science news, updated every few hours.
luxury phone maker vertu unveils alphafold, a foldable smartphone with an ai agent for enterprise workflows, targeting ceos and affluent buyers.
aisoro is a family of tajik-specialized conversational language models built for low-resource deployment, outperforming same-size baselines on new tajik benchmarks.
aia new method extends schrödinger bridge models for time series by using a frozen, triangular reference process across latent volatility levels, preserving the h-transform structure even with degenerate covariance.
aibayesian x-learner intervals under-cover in few-placebo settings due to nuisance model bias, but a gaussian process approach can fix calibration.
aia new protocol for observational causal discovery attaches impossibility certificates to each edge, distinguishing data-driven orientations from those needing expert input.
aia new llm-based system identifies and measures human values in text without being tied to a single value theory.
aia survey examines how mixture-of-experts methods address key multimodal learning issues like scalability, representation, and fusion.
aia new theorem shows that large language models cannot learn causal structure from observational data alone, but an agentic approach using interventions can succeed.
aia foundation model downscales global ai weather forecasts from 28 km to 1 km resolution, producing hourly 67-hour forecasts of eight surface variables.
aisnowflake commits $6 billion over five years to aws, driven by ai demand and access to amazon's graviton cpus.
aia new local speech-to-speech stack lets reachy mini robots converse without cloud or api keys, using a customizable cascade of open-source models.
ailearn five scipy.stats techniques to build rigorous simulations for scenario analysis, uncertainty quantification, and tail risk modeling using only numpy and scipy.
aipytorch's inductor compiler fuses multiple gpu operations into single kernels, reducing memory traffic and launch overhead for faster model execution.
ailearn how to use pandas groupby to summarize, compare, and analyze grouped data with simple, practical examples.
airemote used ai across all functions to increase revenue per employee by 50% without adding headcount, reaching $300m arr and cash-flow positivity.
aimeta launches plus plans for its main apps and begins testing meta one subscriptions for ai, creators, and businesses.
aianthropic and openai shift enterprise pricing to api rates as coding agents drive massive token usage and revenue growth.
aitokenspeed inference engine achieves 580 tokens per second on qwen3.5-397b-a17b by eliminating memory copies and overlapping cpu-gpu execution.
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