Moore's Law came from observing exponential computing growth in the 1960s

Nvidia's rapid development of GPUs is forcing computing to depart from something called Moore's law

Moore’s law, named after Intel’s cofounder, predicts that the number of transistors on a chip will double every two years. But Nvidia could be outpacing that prediction.

NASA purchased about 60% of all integrated circuits from 1961 to 1965

The US government adopted the new technology to support the development of the Apollo Guidance Computer, which would help astronauts fly to the moon. This drove manufacturing up and costs down, setting the stage for the modern computing era.

Visualize the growth of the Linux kernel source code, which surpassed 40 million lines in 2025

Version 0.01 of the program authored by Linus Torvalds in 1991 spanned approximately 10,000 lines of code and has progressively grown to accommodate the management of an increasing number of hardware and software components. The kernel grows by an estimated 400,000 lines of code every two months.

Since 2025, AI data center growth has created shortages and price hikes in graphics processing units and their supporting hardware, including high-speed memory.

A timeline of computer history

The earliest computers bear little resemblance to the computing devices that most people rely on today. This timeline graphic from the Computer History Museum tracks their evolution, from the early days of bulky mainframes that only experts generally used through to the personal computing revolution and on to the modern mobile era. Readers will learn important context ahead of the next major computing platform shift.

Bob Noyce coinvented the integrated circuit, cofounded Intel and Fairchild Semiconductor, and is considered one of the founders of Silicon Valley

Some even called Noyce the "Mayor of Silicon Valley." According to Steve Jobs, he was the "ultimate inventor, rebel, and entrepreneur." This Founders episode dissects an article from 1983 that explains Noyce's lasting impact.

AI expert shows the cyclical nature of AI hype—in 1988

Rodney Brooks wrote several decades ago about the boom and bust cycles of artificial intelligence. Starting from the 1950s excitement over ENIAC's multiplication through the second launch of then-novel neural networks, Brooks suggests AI progresses incrementally despite the hype.

Grace Hopper warned against prioritizing hardware purchases in future computing

Foreseeing the rising volume of data and the increasing demand for its processing and access, she advocated that organizations first map the total flow of information they require and then choose infrastructure to support it, rather than wastefully spending on the fastest computing technology and forcing software to compensate for unnecessary hardware or incorrect data.

Watch a microscopic tour of an Intel i486 microprocessor

Released in 1989 for $950, the chip contained over a million transistors on a piece of silicon the size of a postage stamp, much less packed than today’s chips. The layering of components makes the chip resemble a network of structures—not unlike a city—when zoomed in.

The original 'four horsemen' of tech were Intel, Dell, Microsoft, and Cisco

These companies became known as the "four horsemen of tech" for the influence the companies had both on other businesses and investors in the late 1990s and early 2000s. The expansion of internet infrastructure throughout the 1990s and the dot-com bubble lifted these companies to incredible heights.

Your iPhone started with a Cold War secret

Silicon Valley wasn't supposed to happen. A stretch of California orchard land somehow became the place that built the modern world: chips, PCs, the internet, the smartphone, and now AI. But the real story isn't the garage myth. It's a series of contradictions hiding in plain sight.

As of 2025, Nvidia controls over 90% of the discrete graphics processing unit market, with its high-end components serving as the backbone for the AI data center boom, followed by AMD and Intel.

Today's massive data centers evolved from single-room mainframes

Punch card computers from the late 1940s were used to store and process a company's data locally before the advent of desktop computers. As the amount of data and company sizes increased alongside the miniaturization of technology, mainframes were replaced by local server rooms and external facilities with interconnected servers running cloud-based and AI software.

The history of graphics processing units began with hardware for displaying visuals in arcade machines, but the transition to 3D graphics led to the microchips and software that power today's AI data centers.

Computational and biological systems share fundamental principles, like randomness

Proposed by Alan Turing and John von Neumann, the concept originates from how DNA and computers run by executing encoded instructions in parallel. The advent of AI and the temperature parameter has seen neural networks mimic the randomness of protein encoding.

The first compiler to facilitate communication with computers was developed by Grace Hopper

The A-0 program linker automatically translated mathematical symbols into machine-readable binary code. Although it took two years for computer executives to get on board with the idea, the technology was foundational to future programming languages that allowed computers to understand commands written in word-based languages.

DNA computing allows for storage and processing of massive amounts of data

Although costly and less efficient for simpler tasks, as of 2025, DNA could hold 455 exabytes of data with near limitless parallel computation potential in small data centers. Every movie ever made would fit inside the volume of a single sugar cube.

Silicon Valley’s history in technology can be traced back to the late 1800s

From its developments in radio, defense technology, and personal computing, Silicon Valley has been associated with innovating tech for more than a century. This animated timeline of Silicon Valley’s history helps visualize its evolution.

In 1999, Microsoft and Intel’s addition signaled the information tech era for the Dow

Microsoft and Intel became the first information technology firms added to the DJIA. Their inclusion marked a turning point—the digital revolution and tech began to drive the American economy.

Noise and instability made quantum computing seem out of reach for decades

Recent advances in error suppression, mitigation, and correction are allowing quantum computers to perform practical tasks that challenge classical machines. IBM’s 2016 launch of its first cloud-accessible quantum computer attracted over 22,000 users in its first month alone.

All computers are defined by their ability to input, store, process, and output data

From wooden machines to wearable tech, computers have changed a lot in appearance, but they all still perform the same essential tasks. Early computers were made of wood and metal—some were so big that they filled entire rooms just to solve simple math problems.

Coined in 1971, the man credited with naming Silicon Valley was originally writing about semiconductors

Silicon Valley gained its name from an article published in January 1971, in Electronic News. Author Don Hoefler used the term in his headline for an article he was writing about the semiconductor industry. Hoefler is credited with naming the multi-trillion dollar area that is still called Silicon Valley today.

Lessons learned from Steve Jobs

From predicting our screen-filled future in 1983 to slashing Apple's product line in 1997, Steve Jobs believed in focus, simplicity, and the fusion of technology and art. His philosophies still influence how products are built and marketed today.

By 2024, Nvidia had become one of the world’s most valuable companies

Nvidia started as a graphics chip designer for PCs and consoles. This explainer traces its rise from early GPU innovation to powering AI breakthroughs and fueling the data centers behind today’s biggest tech platforms.

Later in life, the clock in Grace Hopper's office ran counterclockwise

Acknowledging that most people have "an enormous tendency to resist change," Hopper's clock served as a reminder for the computer scientist that just because things have been done a certain way does not mean they should forever remain that way: "They love to say, 'We've always done it this way.' I try to fight that." (Some users may experience a paywall.)

See a timeline of Silicon Valley's greatest innovations

Silicon Valley is home to some of the biggest innovations of the last century. From radio communicators in the 1930s, to personal computers in the 1970s, the Valley has been the center of technological innovation for decades.

CUDA, the computing platform that transformed graphics processing units from pixel renderers into general-purpose components powering AI, originated from a computer science student.

The foundation for computer viruses was published after its creator's death

In the late 1940s, Hungarian American mathematician, scientist, and engineer John von Neumann gave a series of lectures where he explained the theoretical framework for a computer program that could replicate itself—the von Neumann Universal Constructor. His lectures were later compiled and published in 1966, nine years after his death from cancer.

One office park had an outsized role in the birth of Silicon Valley

Developed in 1951, Stanford Research Park was more than just a pioneering suburban office park. It would go on to catalyze Silicon Valley's tech ecosystem as a whole.

Apple, the tech giant renowned for products like the iPhone, iPad, and Mac, started out in a garage in 1976.

Since computers rely on the distribution of electrons in microchips to represent binary code, cosmic rays and ionizing radiation from radioactive elements can introduce software errors by detaching electrons from atoms.

Bill Hewlett and Dave Packard are known for creating the 'founding' Silicon Valley company Hewlett-Packard

During the company's early years, Hewlett and Packard established a management approach called "the HP Way." The approach, which was considered radical at the time, helped shape the way Silicon Valley is run today.

The world's first commercial biological computer combines neurons with silicon

Australian start-up Cortical Labs unveiled CL1, a hybrid chip designed to help scientists study brain function in real-time. The 800,000 lab-grown neurons on the chip are kept viable for six months via a built-in life support system.

The first computer virus was created by a USC doctoral candidate in 1983

A year after creating malware in a controlled experiment that multiplied until it took over all of a computer's memory, Fred Cohen went public with his research and its risks. He called the self-replicating software a "computer virus," a term Cohen's advisor, Leonard Adleman, coined to describe its infectious behavior. (Some readers may experience a paywall.)

Linux adoption statistics, including its use in all the world's top 500 supercomputers since 2017

This has been driven by kernel-level customizations available with Linux-based operating systems that improve computational performance and reduce latency. As of 2025, Linux's desktop market share is 3.7%, but 87.8% of machine learning workloads run on Linux infrastructure. The Linux OS market is expected to grow 105.8% through 2029.

COBOL was partly derived from Grace Hopper's FLOW-MATIC programming language

The Common Business-Oriented Language was developed for business data processing, supporting precise decimal calculations and an English-like syntax. Able to work across operating systems and hardware environments, COBOL and its newer versions support 80% of in-person credit card transactions and 95% of all ATM transactions.

With many smaller computing cores, graphics processing units process many identical tasks in parallel, whereas central processing units have fewer, larger cores built to handle a wide variety of more complex tasks sequentially.

See Don Valentine's original 1977 memo for Sequoia's investment into Apple Computer

In honor of Apple's 50-year anniversary, Sequoia Capital recently posted a tweet on X (the social media platform formerly known as Twitter) with a photo of the original 1977 memo for Sequoia's investment in Apple.

IBM developed a benchmark to measure the usable performance of a quantum computer

Dubbed "quantum volume," the benchmark tests how well a quantum computer runs complex tasks. It stops when the computer can no longer correctly select the most likely answers, called "heavy outputs," more than two-thirds of the time.

Jevon's paradox is an economic principle arguing that as technological progress makes using resources, like coal or water, more efficient, the consumption of that resource will paradoxically increase.

Quantum computers use qubits to solve problems much faster than classical machines

Unlike regular computers, where each bit is either 0 or 1, quantum computers use qubits, which can simultaneously be both—allowing for massive parallel processing power. Google’s quantum processor once solved a problem in seconds that would have taken a supercomputer 47 years.

CES debuted in 1967 amid a wave of miniaturization in at-home electronics

The rapid development of integrated circuits—the basis of computing power—in the 1960s catalyzed an industrial shift toward miniature devices, including pocket transistor radios, smaller TVs, and more. This first consumer electronics trade show (with a slate of 117 exhibitors and 17,000 attendees) sought to make everyday electronics accessible and portable. See a timeline of early consumer tech with photos.

The terms 'bug' and 'debugging' were popularized by Grace Hopper's team

Engineers working on the Mark II computer at Harvard University identified a moth in one of its components in 1947, which caused it to malfunction. Describing the incident as the "first actual case of bug being found," the term first used by Thomas Edison in 1878 to describe faults in an apparatus caught on.

Transistors in traditional computers are physically limited to atomic scales

As computer parts shrink, transistors—tiny switches that control the path of electrical signals—become obsolete because electrons can quantum tunnel through switch barriers. This makes quantum computers, which take advantage of quantum effects, an enticing alternative.

'Parkinson's Law' states that however long you have to complete a task is how long it takes, and originated as critique of British bureaucracy.

The term 'artificial intelligence' was coined in 1956

Dartmouth professor John McCarthy introduced the term during a summer workshop aimed at exploring how to make machines perform human-like tasks. Two years later, Perceptron Mark I became one of the first neural network machines.

Learn how eight 'traitors' played an essential role in founding Silicon Valley

In the 1950s, William Shockley led the way in the semiconductor business. Everything changed in 1957, after eight of his engineers—whom he called the "Traitorous Eight"—left his company to start their own. Their company, named Fairchild Semiconductor, employed many future founders of major Silicon Valley companies. Today, the Traitorous Eight are considered among the founders of Silicon Valley.

Meet Frederick Terman: Stanford University professor and the 'Father of Silicon Valley'

Stanford University professor Frederick Terman used to encourage his students to start their own tech companies. His advice led to the creation of Hewlett-Packard. He also established the Stanford Research Park, which helped develop many successful tech companies today. Terman is often called the "Father of Silicon Valley," because his ideology directly shaped the region's development.

Before Silicon Valley became the largest tech hub in the world, it was an agricultural area known for its flowers and fruit

It was called the “Valley of Heart’s Delight.” This video by Vox explains how the area went from growing prunes to producing computer chips. It also explains how Stanford University had a big impact on the area’s development.

As of 2025, the internet is entering its fourth phase, with three more to go

Since the inception of the internet as a tool for connecting teams of researchers, technological and infrastructure advancements have progressively increased connectivity. Connections between computers, mobile devices, all devices, and now AI agents will be succeeded by an internet that integrates perception and the senses toward an eventual quantum internet.