At the core of the Neural DSP Archetype: John Mayer X plugin are brilliant guitar tones, and I love that you don’t have to be a Mayer mega-fan to enjoy what’s on offer here. Despite not being much of ...
The best new guitar gear of NAMM 2026: More effects, more amps, more guitars and more tech than ever
MusicRadar's Rob Laing carried the weight of the guitar world on his shoulders as he single-handedly took on the NAMM Show ...
The effect was certainly striking - a man demonstrating his vulnerability, both audibly and visually - but this was no ...
Probably the biggest news overnight is the arrival of Billy Corgan and Laney's new Supergrace signature pedal, which the Smashing Pumpkins man is boldy claiming packs the tone of his $100K+ rig into a ...
Guitar World on MSN
A brand-new guitar shape from one of the world’s oldest guitar companies. Will wonders never cease? 10 things we learned at NAMM 2026
We scoured every corner of the Anaheim Convention Center to scope out the latest and greatest gear – and there were some ...
Guitar World on MSN
Synergy teams up with Wampler and Friedman to launch its machine-learning power amp
A new Friedman IR-Loaded and Wampler Pedalhead are the first new products to benefit from the new tech ...
Snopsys enters definitive agreement with GlobalFoundries for sale of processor IP solutions business
Transaction underscores Synopsys' commitment to disciplined portfolio management, while capturing highest growth engineering ...
Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.
New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.
EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.
Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...
AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.
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