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"

The Reverse Centaur's Guide to Life After AI
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
Supremacy: AI, ChatGPT, and the Race That Will Change the World
The Singularity Is Nearer: When We Merge with AI
Code Dependent: Living in the Shadow of AI
This Is for Everyone: The Unfinished Story of the World Wide Web
Picks and Shovels (Martin Hench, #3)
Everything Is Predictable: How Bayesian Statistics Explain Our World
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
AI 2041: Ten Visions for Our Future
Quo vAIdis
Focus: The ASML way - Inside the power struggle over the most complex machine on earth
The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want
Maintenance of Everything: Part One
Doom Guy: Life in First Person: Building DOOM and a Gaming Revolution
Maskiner som tenker
Quantum Supremacy
A Thousand Brains: A New Theory of Intelligence
This Is How They Tell Me the World Ends: The Cyberweapons Arms Race
Genesis: Artificial Intelligence, Hope, and the Human Spirit
These Strange New Minds: How AI Learned to Talk and What It Means
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
Means of Control: How the Hidden Alliance of Tech and Government Is Creating a New American Surveillance State
The Internet Con: How to Seize the Means of Computation
The Laws of Thought: The Quest for a Mathematical Theory of the Mind
The Software Engineer's Guidebook: Navigating senior, tech lead, and staff engineer positions at tech companies and startups
Pegasus: How a Spy in Your Pocket Threatens the End of Privacy, Dignity, and Democracy
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Crafting Interpreters
Ethical Hacking: A Hands-on Introduction to Breaking In
Devil in the Stack: A Coding Odyssey
Software Architecture Metrics
The Engineering Executive's Primer: Impactful Technical Leadership
CompTIA A+ Certification All-in-One Exam Guide, Eleventh Edition (Exams 220-1101 & 220-1102)
Literary Theory for Robots: How Computers Learned to Write (A Norton Short)
Practical UI
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech
Open Circuits: The Inner Beauty of Electronic Components (Packaging may vary)
Engineering Management for the Rest of Us
The History of the Computer
Reality+: Virtual Worlds and the Problems of Philosophy
Clean Craftsmanship: Disciplines, Standards, and Ethics
Street Coder
Futureproof: 9 Rules for Humans in the Age of Automation
We See It All: Liberty and Justice in an Age of Perpetual Surveillance
Building Evolutionary Architectures: Support Constant Change
Data Quality Fundamentals
Deep Dive: Exploring the Real-world Value of Open Source Intelligence
The Chinese Computer: A Global History of the Information Age (Studies of the Weatherhead East Asian Institute, Columbia University)
Future Tense: How We Made Artificial Intelligence—and How It Will Change Everything
Architecture Modernization - Socio-technical alignment of software, strategy, and structure
A Biography of the Pixel (Leonardo)
Blank 133x176
Escape from Model Land...
 
by
Erica Thompson
Efficient Linux at the Command Line
Internet
Learning Modern Linux: A Handbook for the Cloud Native Practitioner
Etica dell'intelligenza artificiale
Rust for Rustaceans
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
Androids: The Team That Built the Android Operating System
Data Mesh: Delivering Data-Driven Value at Scale
Continuous Delivery Pipelines - How to Build Better Software Faster
Continuous Architecture in Practice: Software Architecture in the Age of Agility and DevOps.
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going
Software Architecture in Practice
The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

Alan J. Perlis
I think that it’s extraordinarily important that we in computer science keep fun in computing. When it started out it was an awful lot of fun. Of course the paying customers got shafted every now and then and after a while we began to take their complaints seriously. We began to feel as if we really were responsible for the successful error-free perfect use of these machines. I don’t think we are. I think we’re responsible for stretching them setting them off in new directions and keeping fun in ...more
Alan J. Perlis

In the U.S. there are two types of hipsters: those who know how to program and those who serve coffee.
César Hidalgo

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