IBM debuts world’s 1st sub-1 nanometer chip technology
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The computer chips inside our phones, laptops and other electronic devices contain billions of tiny switches called transistors. These transistors are usually made from silicon, the material that has powered modern electronics for decades.
A new technique could solve one of the biggest challenges in making future computer chips from ultrathin materials. Researchers found that coating molybdenum disulfide with oxygen or fluorine lets manufacturers remove just the top layer of atoms much more safely during plasma processing.
IBM's latest chip packs in twice as many transistors as the current state-of-the-art chip by adding a second layer of silicon circuitry
In recent years, computer chip performance has bumped up against the physical limitations of the space available on integrated circuits.
Current copper wiring in computer chips struggles to carry electricity efficiently as circuits shrink to the nanoscale, leading to a process that generates heat and limits performance. These materials could make future chips faster, more energy-efficient ...
One of South Africa’s leading computer scientists has weighed in on the significance of the first sub-1nm chip.
Bees navigate their surroundings with astonishing precision. Their brains are now inspiring the design of tiny, low-power chips that could one day guide miniature robots and sensors. By Tom Cassauwers When a bee leaves the nest, it already has its own ...
RIT researchers create adaptive computer chip design that saves power in everyday electronic devices
Researchers at RIT have developed a new computer chip design approach that allows electronic systems to automatically adapt to real-world conditions, improving how devices manage power in everyday use. The results show improvements in how chips are ...
President Donald Trump’s ambiguous plans for 100% tariffs on computer chips that aren’t made in the U.S. are stoking confusion among businesses
A computer chip that processes data as pulses of light rather than electrical signals has, for the first time, run a suite of real AI workloads on a single device. In results published in Nature in early 2025, a research team demonstrated a photonic ...
