… The silicon and silicon-germanium layers that will become the top transistor would be made on an entirely different silicon wafer. The two wafers are then bonded together in a way that leaves only the silicon and silicon germanium layers from the top wafer attached to the bottom wafer. …
… Silicon Valley origins: the first FPGA The FPGA architecture originated in the mid-1980s at Xilinx , a Silicon Valley company founded in 1984. …
… That the nano-membranes can transfer onto surfaces that are not necessarily perfectly flat “is important because the current method typically used in industry requires sub-1-nanometer roughness for the surfaces to be bonded together and extremely flat—only a few microns of variations across the waf… …
… Watching the silicone skin morph serves as a fascinating reminder that not all logic needs silicon; sometimes, all you need is flexible silicone and a flow of air. …
… The device has two terminals connected to the silicon through regions highly doped with the opposite polarity of the rest of the silicon—the source and the drain. Another terminal, the gate, sits atop the silicon that separates the source from the drain. …
… The final feature is Fractal’s memory system, called gmap. In a conventional OS, a program reaches memory through virtual addresses that the OS maps to real hardware. …
… Similar to how software developers rely on preexisting libraries rather than writing every function from scratch, ASIC designers license predesigned, preverified silicon blocks—such as processor cores, memory interfaces, and security engines—from highly specialized IP vendors. …
… This article appears in the April 2026 print issue as the feature “ AI is a Memory Hog.” The sidebar from that article is here “ Low-Cost Computers Nearly Double in Price as RAM Shortage Hits. “ From Your Site Articles A Radical Proposal: Replace Hard Disks With DRAM › Hynix Makes No-Capacitor DRAM…
… Intel, for its part, uses a different crystal orientation of silicon for the top and bottom transistor, because one orientation makes faster PFETs and the other makes faster NFETs. It’s done by growing the silicon for the two devices on separate wafers and then bonding the two wafers. …
… This sequential nature can make decode a slower process, and it’s more dependent on memory and network latency than computing power. …