LabComputing
CERN sees jet quenching in oxygen collisions
ALICE observed suppressed neutral-pion production in oxygen–oxygen collisions, matching a signature seen in lead–lead collisions.
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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.
ALICE observed suppressed neutral-pion production in oxygen–oxygen collisions, matching a signature seen in lead–lead collisions.
The MV3564 and MV3514 combine a VCO and multi-PLL synchronization on TSMC’s 40nm RF CMOS process.
The chip supports optical-switch products with up to 400 by 400 ports.
A calcium-40 ion served as a microscopic sensor inside an electromagnetic trap.
UT Austin and TSMC tested magnetic-memory chips for AI tasks, including inference and neural-network training.
Researchers in Shanghai used Step-Eva to grow single-crystal metal contacts directly on 2D semiconductors.
KIMS used amorphous silicon, tellurium and an electric-field layer on flexible polyimide.
Waseda researchers removed key constraints from a slime-mold model of the traveling-salesman problem.
CUDA Python 1.0 bundles several packages under a shared versioning strategy.
The new GPU scheduler allocates compute time based on usage instead of strictly by queue order.
The material is only a few molecules thick and changes its electronic properties with light.
Shunkai launched at the Institute for Molecular Science with about 50 qubits and a QPU from Infleqtion.
The AGI CPU has up to 136 Neoverse V3 cores across two dies.
Wits and Bordeaux researchers encoded data in light topology, a property that can survive severe beam distortion.
Tests on Semianalysis’s InferenceX benchmark put Jalapeño ahead of Nvidia Blackwell on two efficiency measures.
The M6 is Apple’s first 2nm chip, with a 12-core CPU, 12-core GPU and up to 32GB of unified memory.
The method screens color centers without the intensive simulations normally used to assess their optical losses.
The chip creates a structured microcomb: many precisely organized light frequencies at once.