Why deal with LLM inference as batched kernels to DRAM when a dataflow compiler can pipe tiles via on-chip FIFOs and stream converters?StreamTensor is a compiler that lowers PyTorch LLM graphs (GPT-2, Llama, Qwen, Gemma) into stream-scheduled dataflow accelerators on AMD’s Alveo U55C FPGA. The system introduces an iterative tensor (“itensor”) kind to encode tile/order…
Can a speech enhancer educated solely on actual noisy recordings cleanly separate speech and noise—with out ever seeing paired information? A crew of researchers from Brno University of Technology and Johns Hopkins University proposes Unsupervised Speech Enhancement utilizing Data-defined Priors (USE-DDP), a dual-stream encoder–decoder that separates any noisy enter into two waveforms—estimated clear speech and…
Neuphonic has launched NeuTTS Air, an open-source text-to-speech (TTS) speech language mannequin designed to run regionally in actual time on CPUs. The Hugging Face model card lists 748M parameters (Qwen2 structure) and ships in GGUF quantizations (This fall/Q8), enabling inference by way of llama.cpp/llama-cpp-python with out cloud dependencies. It is licensed underneath Apache-2.0 and features…
In this tutorial, we stroll by way of an superior implementation of WhisperX, the place we discover transcription, alignment, and word-level timestamps intimately. We arrange the surroundings, load and preprocess the audio, and then run the total pipeline, from transcription to alignment and evaluation, whereas guaranteeing reminiscence effectivity and supporting batch processing. Along the way…
Liquid AI has launched LFM2-Audio-1.5B, a compact audio–language basis mannequin that each understands and generates speech and textual content via a single end-to-end stack. It positions itself for low-latency, real-time assistants on resource-constrained units, extending the LFM2 household into audio whereas retaining a small footprint. https://www.liquid.ai/weblog/lfm2-audio-an-end-to-end-audio-foundation-model But what’s really new? a unified spine with disentangled…
Guest writer: Or Hillel, Green Lamp Applications have grow to be the muse of how organisations ship companies, join with clients, and handle vital operations. Every transaction, interplay, and workflow runs on an internet app, cell interface, or API. That central function has made purposes one of the vital engaging and frequently-targeted factors of entry…
What MLPerf Inference Actually Measures? MLPerf Inference quantifies how briskly a whole system ({hardware} + runtime + serving stack) executes fastened, pre-trained fashions underneath strict latency and accuracy constraints. Results are reported for the Datacenter and Edge suites with standardized request patterns (“eventualities”) generated by LoadGen, guaranteeing architectural neutrality and reproducibility. The Closed division fixes…
AI is the cream of the crop in at present’s tech subject, with industries counting on generative AI to enhance operations and enhance productiveness. One sector that utilizing AI with measurable outcomes is agriculture, with vegetable seed firms harnessing the expertise to determine the very best vegetable varieties out of 1000’s of choices. This facility…
AI and machine studying allow robots to autonomously carry out duties that when required human intervention. At the core of this transformation is knowledge—the important gasoline for clever robotic programs. Robots depend on huge quantities of numerous, high-quality knowledge to be taught from their environments, acknowledge patterns, and refine their actions. By gathering and leveraging…
Walking into Huawei’s Shanghai Acoustics R&D Centre, I anticipated a regular facility tour. What I encountered as a substitute was a complete automotive sound engineering operation that challenges the established order of in-car audio methods. The facility, which Huawei has developed since starting critical audio analysis investments in 2012, homes three distinct testing environments: a…