Most Read This Week In Computer Science

Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information, whether such information is encoded as bits in a computer memory or transcribed in genes and protein structures in a biological cell. A computer scientist specializes in the theory of computation and the design of computational systems.

Most Read This Week Tagged "Computer Science"

Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI

The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma

The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip

The Singularity Is Nearer: When We Merge with AI

The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want

AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

Why Machines Learn: The Elegant Math Behind Modern AI

Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World

Code Dependent: Living in the Shadow of AI

The Internet Con: How to Seize the Means of Computation

The Software Engineer's Guidebook: Navigating senior, tech lead, and staff engineer positions at tech companies and startups

God, Human, Animal, Machine: Technology, Metaphor, and the Search for Meaning

This Is How They Tell Me the World Ends: The Cyberweapons Arms Race

Fundamentals of Software Architecture: An Engineering Approach

2084: Artificial Intelligence and the Future of Humanity

Pegasus: How a Spy in Your Pocket Threatens the End of Privacy, Dignity, and Democracy

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

A Thousand Brains: A New Theory of Intelligence

Engineering Management for the Rest of Us

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

The Infinite Machine: How an Army of Crypto-hackers Is Building the Next Internet with Ethereum

A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going

The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now

Futureproof: 9 Rules for Humans in the Age of Automation

Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures

Data Mesh: Delivering Data-Driven Value at Scale

These Strange New Minds: How AI Learned to Talk and What It Means

Building Evolutionary Architectures: Support Constant Change

Reality+: Virtual Worlds and the Problems of Philosophy

Working in Public: The Making and Maintenance of Open Source Software

Escape from Model Land...

by
Erica Thompson

AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech

How the Internet Really Works: An Illustrated Guide to Protocols, Privacy, Censorship, and Governance

The Hacker and the State: Cyber Attacks and the New Normal of Geopolitics

Girl Decoded: A Scientist's Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology

Out of the Ether: The Amazing Story of Ethereum and the $55 Million Heist that Almost Destroyed It All

Architecture Modernization - Socio-technical alignment of software, strategy, and structure

Continuous Delivery Pipelines - How to Build Better Software Faster

Become an Effective Software Engineering Manager

Dark Data: Why What You Don't Know Matters

Distributed Services with Go - Your Guide to Reliable, Scalable, and Maintainable Systems

Androids: The Team That Built the Android Operating System

Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps.

Mastering Blockchain: Unlocking the Power of Cryptocurrencies, Smart Contracts, and Decentralized Applications

Learning Modern Linux: A Handbook for the Cloud Native Practitioner

Cryptography: The Key to Digital Security, How It Works, and Why It Matters

The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

Deep Dive: Exploring the Real-world Value of Open Source Intelligence

Open Circuits: The Inner Beauty of Electronic Components (Packaging may vary)

The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise

The Road to Conscious Machines: The Story of AI

Reprogramming the American Dream: From Rural America to Silicon Valley—Making AI Serve Us All

Predict and Surveil: Data, Discretion, and the Future of Policing

The Chinese Computer: A Global History of the Information Age (Studies of the Weatherhead East Asian Institute, Columbia University)

Voices from the Valley: Tech Workers Talk About What They Do--and How They Do It (FSG Originals x Logic)

Abolish Silicon Valley: How to Liberate Technology from Capitalism

The Pentester BluePrint: Starting a Career as an Ethical Hacker

Doing Agile Right: Transformation Without Chaos

We See It All: Liberty and Justice in an Age of Perpetual Surveillance

Future Tense: How We Made Artificial Intelligence—and How It Will Change Everything

Clean Craftsmanship: Disciplines, Standards, and Ethics

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner

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Quotes Tagged “Computer Science”

“ Well, writing novels is incredibly simple: an author sits down…and writes. Granted, most writers I know are a bit strange. Some, downright weird. But then again, you’d have to be. To spend hundreds and hundreds of hours sitting in front of a computer screen staring at lines of information is pretty tedious. More like a computer programmer. And no matter how cool the Matrix made looking at code seem, computer programmers are even weirder than authors. ”
― Christopher Hopper

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“ Reusability is key in reducing bugs and coding quickly. The more I use a piece of code, the more confident and familiar I become with it, which in turn significantly speeds up my development time. ”
― Robert Duchnik, jQuery Plugin Development In 30 Minutes

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