Transformer on MSN

Teaching AI to learn

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?
The companies that make RAM and flash memory chips are enjoying record profits because of the AI-induced memory crunch—and they’re also indicating that they don’t expect conditions to improve much if ...
Researchers from the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) and Duke University ...
In just a few months, many powerful Nvidia graphics cards are out of stock or facing exorbitant price hikes. The situation is ...
The memory industry faced shortage issues in the past but those were partially due to the changing of memory format. When the ...
With the DRAM shortage already making memory upgrades prohibitively expensive, high-end SSD prices have also spiked in recent weeks. This surge is being driven by the ...
It wasn't couched in hedge-betting, weasel words, or any other roundabout way of masking the truth. Micron's vice president, ...
The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.
Micron says the AI-driven memory-chip shortage is worsening and may last beyond 2026, boosting MU/NVDA supply chain focus.