SK Hynix debuts on Nasdaq after raising about $26.5 billion, the largest-ever US listing by a foreign company, with ADRs ...
Micron Technology will invest up to $3 billion in its Virginia chip facility, boosting HBM and DRAM production critical to AI ...
'AI Narrative May Die a Death by a Thousand Cuts': Michael Burry's Memory Chip Bet Gains Credibility
Michael Burry warns of an AI stock bubble, citing unsustainable valuations and investor FOMO. He predicts a gradual decline ...
Former OpenAI researcher Leopold Aschenbrenner's hedge fund Situational Awareness LP backs SK Hynix's $29.4B Nasdaq listing ...
South Korea’s Samsung Electronics and SK Hynix plan to invest about $518 billion in four new chip plants to double national DRAM output within five years, accelerating their timeline by roughly a ...
For decades, Micron Technology made one of computing’s less glamorous essentials: memory chips. Then the artificial intelligence boom made that hardware one of the industry’s most sought-after ...
In the first quarter of 2026, Bandwidth's revenue rose 20% year over year to $209 million. Adjusted earnings per share increased from $0.36 to $0.38. Operating cash flow swung from negative to ...
The Senate on Thursday overturned a mining moratorium in Minnesota's Superior National Forest, a boon for a Chilean mining conglomerate Antofagasta. The chamber voted 50-49 to overturn a 20-year ...
Bandwidth is regaining momentum, defying the software sector downturn with strong Q4 results and a bullish FY26 outlook. BAND projects 16% revenue growth and a 20% adjusted EBITDA margin for FY26, ...
Raiford outlined 2026 full year guidance: "total revenue growth of approximately 16% year-over-year, including cloud communications growth of approximately 10%, adjusted EBITDA improvement of nearly ...
In the fourth quarter, Bandwidth's revenue declined slightly, by 1.1%, to $208 million, while adjusted (non-GAAP) earnings per share of $0.35 fell by 5%, but beat expectations by $0.02. A decline in ...
Abstract: Strip-mining is a crucial technique for memory hierarchy optimization. In this paper, we propose an efficient strip-mining algorithm for improving SRF bandwidth utilization on Imagine.
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