This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Alphabet's recently announced memory compression technology has spooked investors in Micron, Sandisk, and Seagate, but they are missing the bigger picture. In fact, lower memory prices and more ...

As a researcher investigating how electric brain stimulation can improve people’s powers of recollection, I’m often asked how memory works – and what we can do to use it more effectively. Happily, ...

Studies show THC can influence multiple stages of memory formation, shaping not just what we remember—but how accurately we remember it. New research suggests THC may do more than blur memory—it can ...

Google’s TurboQuant is making waves in the AI hardware sector by addressing long-standing challenges in memory usage and processing efficiency. Developed with components like the Quantized ...

Micron is a key memory supplier. Memory capacity was a bottleneck in the AI supply chain. Before Alphabet's announcement, the assumption was that memory capacity for AI computing chips would be in a ...

SanDisk (SNDK) shares jumped 5% to $600 on Tuesday as investors treated last week’s 18.5% selloff as an overreaction, while the company’s Q2 FY2026 revenue hit $3.025B (up 61% year over year) and the ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...