Artificial Intelligence

Artificial Intelligence Editors Pick

Google Introduces Speech-to-Retrieval (S2R) Approach that Maps a Spoken Query Directly to an Embedding and Retrieves Information without First Converting Speech to Text
ByRicardo October 13, 2025

Google AI Research group has introduced a manufacturing shift in Voice Search by introducing Speech-to-Retrieval (S2R). S2R maps a spoken question instantly to an embedding and retrieves info without first changing speech to textual content. The Google group positions S2R as an architectural and philosophical change that targets error propagation within the traditional cascade modeling…

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Artificial Intelligence Data Science

A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning
ByRicardo October 12, 2025

In this tutorial, we discover the facility of self-supervised studying utilizing the Lightly AI framework. We start by constructing a SimCLR mannequin to be taught significant picture representations with out labels, then generate and visualize embeddings utilizing UMAP and t-SNE. We then dive into coreset choice strategies to curate knowledge intelligently, simulate an energetic studying…

Read More A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning
AI Paper Summary Artificial Intelligence

Agentic Context Engineering (ACE): Self-Improving LLMs via Evolving Contexts, Not Fine-Tuning
ByRicardo October 10, 2025

TL;DR: A crew of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE framework that improves LLM efficiency by enhancing and rising the enter context as a substitute of updating mannequin weights. Context is handled as a dwelling “playbook” maintained by three roles—Generator, Reflector, Curator—with small delta gadgets merged incrementally to keep away…

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Articles Artificial Intelligence

Why your AI investments are falling short
ByRicardo October 9, 2025October 9, 2025

Let me share one thing that may sound acquainted: Your group has poured vital assets into AI initiatives, but the returns stay disappointingly linear. If you are nodding alongside, you are not alone. In reality, 85% of AI tasks fail to succeed in manufacturing in 2024. That’s a staggering statistic that retains me up at…

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Articles Artificial Intelligence

Why RAG fails in production (And how to fix it)
ByRicardo October 9, 2025

Let me share one thing which may shock you: up to 70% of Retrieval-Augmented Generation (RAG) programs fail in production. Yes, you learn that proper. While RAG seems to be magical in demos and proof-of-concepts, the truth of production deployment tells a really completely different story. I’m Shubham Maurya, Senior Data Scientist at Mastercard with…

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AI in Action Artificial Intelligence

Can Cisco’s new AI data centre router tackle the industry’s biggest infrastructure bottleneck?
ByRicardo October 9, 2025

Cisco has entered an more and more aggressive race to dominate AI data centre interconnect know-how, turning into the newest main participant to unveil purpose-built routing {hardware} for connecting distributed AI workloads throughout a number of amenities. The networking big unveiled its 8223 routing system on October 8, introducing what it claims is the industry’s…

Read More Can Cisco’s new AI data centre router tackle the industry’s biggest infrastructure bottleneck?
Artificial Intelligence

5 best AI observability tools in 2025
ByRicardo October 6, 2025

Guest writer: Or Hillel, Green Lamp AI techniques aren’t experimental anymore, they’re embedded in on a regular basis choices that have an effect on thousands and thousands. Yet as these fashions stretch into essential areas like real-time provide chain routing, medical diagnostics, and monetary markets, one thing so simple as a stealthy information shift or…

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Artificial Intelligence Editors Pick

StreamTensor: A PyTorch-to-Accelerator Compiler that Streams LLM Intermediates Across FPGA Dataflows
ByRicardo October 6, 2025

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…

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Artificial Intelligence Audio Language Model

This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)
ByRicardo October 5, 2025

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…

Read More This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)
Artificial Intelligence Audio Language Model

Neuphonic Open-Sources NeuTTS Air: A 748M-Parameter On-Device Speech Language Model with Instant Voice Cloning
ByRicardo October 3, 2025

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…

Read More Neuphonic Open-Sources NeuTTS Air: A 748M-Parameter On-Device Speech Language Model with Instant Voice Cloning

Artificial Intelligence

Google Introduces Speech-to-Retrieval (S2R) Approach that Maps a Spoken Query Directly to an Embedding and Retrieves Information without First Converting Speech to Text

A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning

Agentic Context Engineering (ACE): Self-Improving LLMs via Evolving Contexts, Not Fine-Tuning

Why your AI investments are falling short

Why RAG fails in production (And how to fix it)

Can Cisco’s new AI data centre router tackle the industry’s biggest infrastructure bottleneck?

5 best AI observability tools in 2025

StreamTensor: A PyTorch-to-Accelerator Compiler that Streams LLM Intermediates Across FPGA Dataflows

This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)

Neuphonic Open-Sources NeuTTS Air: A 748M-Parameter On-Device Speech Language Model with Instant Voice Cloning

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