TSMC verifies backside power delivery while maintaining existing design in A16
TSMC has developed and validated backside power delivery technology for its angstrom-class A16 process.
Chips, lithography, efficiency, quantum: more computing for fewer watts, and what we will do with it.
Computing is the hidden resource behind everything else: without efficient chips there is no artificial intelligence, no autonomous vehicle, no smart grid. The section follows process nodes shrinking — 2 nanometres and beyond — architectures doing more operations per watt, memory, interconnects, and quantum computing whenever it produces verifiable results rather than promises.
We read the roadmaps of TSMC, Samsung, Intel and the Chinese foundries, the architecture papers, the independent benchmarks. The angle never changes: efficiency — compute per unit of energy — matters more than raw performance, because it decides what will actually run, from the data centre to the phone. Every article gives its orders of magnitude and cites its sources.
TSMC has developed and validated backside power delivery technology for its angstrom-class A16 process.
- A lab prototype uses tunable memristor noise to process signals at different speeds.
A UMass Amherst system identified languages with 95.24% accuracy.
Researchers used Signal’s protocol to protect shared documents from providers.
QpiAI has completed the second phase of a quantum chip facility in Bengaluru.
Mojo 1.0 has been released and replaces the strictly checked fn with def.
Huawei has open-sourced the compiler layer connecting Triton and other languages to Ascend chips.
QpiAI’s Bengaluru foundry can fabricate superconducting processors with up to 128 qubits.
Rubidium-atom quantum memories preserved entanglement across 260 miles of fiber.
Alibaba Cloud says its modular AI data centers can be delivered in 100 days.