How Amplitude ships product improvements in 1–2 days with OpenAI
Amplitude uses OpenAI models to power Wave, a proactive agent that identifies product improvements, generates code, and measures impact to compress shipping cycles to 1–2 days.
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Amplitude uses OpenAI models to power Wave, a proactive agent that identifies product improvements, generates code, and measures impact to compress shipping cycles to 1–2 days.
Amplitude uses OpenAI models and agentic workflow (Wave) to ship product features in 1–2 days via autonomous identification, coding, and impact measurement.
Taiwan ODM/EMS firms surpass 2025 full-year revenue by October 2026; optical suppliers show divergent growth patterns.
AI data center expansion faces permitting delays, local opposition, and electricity shortages, with many announced projects unlikely to be built.
Self-supervised pretraining framework for electromagnetic signal modeling using structural alignment to separate reusable regularities from observation-specific waveform variations.
WaveFlow-UIE applies wavelet-domain flow models for underwater image restoration, addressing color distortion and detail loss with single-pipeline physics-inspired degradation cues.
WaveGen performs end-to-end diffusion-based text-to-waveform synthesis without intermediate neural codecs, vocoders, or separate text-speech alignment models.
Physics-Informed Sinusoidal Representation Networks address spectral bias in ultrasonic guided wave damage detection via physics-guided neural networks.
Continuous wavelet transform applied to laser spectroscopy peaks for binary COVID-19 plasma classification; biomedical instrumentation, not AI systems.
PhysioWave-T uses wavelet dynamic-scale folding to compress biomedical signals (EEG, ECG, sEMG) into token-efficient foundation models via Transformer backbones.
US election results bring Democratic control of Congress, raising prospect of AI regulation and data center policy scrutiny.
4D Point Splatting: differentiable physics-based renderer for mmWave radar micro-Doppler synthesis enabling sim2real radar data generation for gait/gesture/vital-sign sensing.
Computational framework combining physics-informed neural networks with rigorous computer-assisted verification for nonlinear water wave equations.
Taiwan IC designers ELAN, Thunder Tiger, Gallopwave receive government subsidy for domestic AI drone chip platform project.
Nvidia DSX POD reference design enables prefabricated, modular AI data center delivery to accelerate deployment and reduce build times.
ΦasmaNet predicts gravitational-wave signal-to-noise ratios via staged spectral token refinement on 11D binary black hole parameters.
E2I-Flow reconstructs images from EEG brain signals using wavelet encoding and conditional flow matching.
The shear piezoelectric coefficient $e_{15}$ governs the shear-mode electromechanical coupling in piezoelectric micromachined ultrasonic transducers (PMUTs) and surface acoustic wave (SAW) devices, but measuring it typically requires destructive resonance testing on dedicated…
Dynamic Wave recurrent layer with input-dependent damping achieves 10.94M-parameter efficiency on TinyStories by replacing quadratic attention.
South Korea financial sector reports cyberattacks attributed to AI-driven hacking with limited technical details.
Matched same-class controls isolate audio event class sensitivity from waveform artifacts in audio-language model robustness testing.
Spiking Neural Network accelerators for mmWave sensing; hardware-focused, orthogonal to frontier AI modeling.
McKinsey CIO guide on deploying agentic AI at scale: governance, architecture, and accountability frameworks.
QECGBERT uses VQ-VAE tokenization of ECG waveforms for self-supervised learning on cardiac rare disease diagnosis.
SLM-SS applies speech language models to multi-talker separation via token-based generation, optimizing for intelligibility over waveform metrics.
Democrats could win back control of Congress this November, and if they do, they'll need to decide how to approach one of the country's newest and thorniest political issues: AI. Polls predict Democrats will flip at least one chamber of Congress in the midterm elections, which…
SETAREH Transform sparsifies high-dimensional vector operations via Haar-wavelet sorting for reduced memory and communication in distributed deep learning.
Untrained CNN features in wavelet space with coefficient-space regularization jointly reconstruct pressure and sound speed in photoacoustic tomography.
Microsoft and Nvidia held a launch party for the first wave of RTX Spark laptops last week in San Francisco, where a new wave of AI PCs took center stage amid a packed crowd and a lively hands-on area. A day after the media event, I was invited to a quieter Nvidia event to hear…
ISW-Agent integrates LLM with n8n workflows for internal solitary wave remote sensing; achieves 94.2% task-match rate on 120 Chinese instructions.