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 Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Source Code: My Beginnings
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
This Is How They Tell Me the World Ends: The Cyberweapons Arms Race
This Is for Everyone: The Unfinished Story of the World Wide Web
Code Dependent: Living in the Shadow of AI
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 – Exposing Surveillance Capitalism and Artificial Intelligence Myths in Information Technology Today
AI 2041: Ten Visions for Our Future
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
Quantum Supremacy
Genesis: Artificial Intelligence, Hope, and the Human Spirit
Focus: The ASML way - Inside the power struggle over the most complex machine on earth
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
A Thousand Brains: A New Theory of Intelligence
Maskiner som tenker
God, Human, Animal, Machine: Technology, Metaphor, and the Search for Meaning
The Internet Con: How to Seize the Means of Computation
Picks and Shovels (Martin Hench, #3)
Reality+: Virtual Worlds and the Problems of Philosophy
Doom Guy: Life in First Person
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Engineering Management for the Rest of Us
The Software Engineer's Guidebook: Navigating senior, tech lead, and staff engineer positions at tech companies and startups
Building Evolutionary Architectures: Support Constant Change
Pegasus: How a Spy in Your Pocket Threatens the End of Privacy, Dignity, and Democracy
Means of Control: How the Hidden Alliance of Tech and Government Is Creating a New American Surveillance State
Internet
Crafting Interpreters
The Engineering Executive's Primer: Impactful Technical Leadership
These Strange New Minds: How AI Learned to Talk and What It Means
Futureproof: 9 Rules for Humans in the Age of Automation
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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Escape from Model Land...
 
by
Erica Thompson
Data Mesh: Delivering Data-Driven Value at Scale
The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do
Future Tense: How We Made Artificial Intelligence—and How It Will Change Everything
Clean Craftsmanship: Disciplines, Standards, and Ethics
The History of the Computer
We See It All: Liberty and Justice in an Age of Perpetual Surveillance
Continuous Delivery Pipelines - How to Build Better Software Faster
Software Architecture in Practice
Open Circuits: The Inner Beauty of Electronic Components (Packaging may vary)
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech
Efficient Linux at the Command Line
Software Architecture Metrics
Etica dell'intelligenza artificiale
Rust for Rustaceans
Architecture Modernization - Socio-technical alignment of software, strategy, and structure
Learning Modern Linux: A Handbook for the Cloud Native Practitioner
Androids: The Team That Built the Android Operating System
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going
Deep Dive: Exploring the Real-world Value of Open Source Intelligence
Devil in the Stack: A Coding Odyssey
Street Coder
Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps.
A Biography of the Pixel (Leonardo)
The Chinese Computer: A Global History of the Information Age (Studies of the Weatherhead East Asian Institute, Columbia University)
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Robert Duchnik
A good standalone plugin can also make you a fair amount of money. Many developers make a decent living by simply maintaining and updating one or two crucial plugins that are far better than anything available for free.
Robert Duchnik, jQuery Plugin Development In 30 Minutes

Want to guarantee nasty conflicts? Take a word with multiple, fuzzy, definitions, force people to strike an agreement on it, attach large amounts of money to it, and then watch them fight about it a year or two later.
Michael T. Nygard, Release It!: Design and Deploy Production-Ready Software

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