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

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

This Is for Everyone: The Unfinished Story of the World Wide Web

Code Dependent: Living in the Shadow of AI

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

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

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

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

A Thousand Brains: A New Theory of Intelligence

Why Machines Learn: The Elegant Math Behind Modern AI

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

The Internet Con: How to Seize the Means of Computation

Doom Guy: Life in First Person: Building DOOM and a Gaming Revolution

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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

Everything Is Predictable: How Bayesian Statistics Explain Our World

Reality+: Virtual Worlds and the Problems of Philosophy

The Laws of Thought: The Quest for a Mathematical Theory of the Mind

Engineering Management for the Rest of Us

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

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

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

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

Ethical Hacking: A Hands-on Introduction to Breaking In

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)

The Engineering Executive's Primer: Impactful Technical Leadership

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

Means of Control: How the Hidden Alliance of Tech and Government Is Creating a New American Surveillance State

CompTIA A+ Certification All-in-One Exam Guide, Eleventh Edition (Exams 220-1101 & 220-1102)

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

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

Escape from Model Land...

by
Erica Thompson

Learning Modern Linux: A Handbook for the Cloud Native Practitioner

Clean Craftsmanship: Disciplines, Standards, and Ethics

Androids: The Team That Built the Android Operating System

Data Mesh: Delivering Data-Driven Value at Scale

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

Continuous Delivery Pipelines - How to Build Better Software Faster

Futureproof: 9 Rules for Humans in the Age of Automation

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

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

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

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

Building Evolutionary Architectures: Support Constant Change

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Quotes Tagged “Computer Science”

“ Code is not like other how-computers-work books. It doesn't have big color illustrations of disk drives with arrows showing how the data sweeps into the computer. Code has no drawings of trains carrying a cargo of zeros and ones. Metaphors and similes are wonderful literary devices but they do nothing but obscure the beauty of technology. ...more ”
― Charles Petzold, Code: The Hidden Language of Computer Hardware and Software

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“ Let me tell you as a brain scientist and a computer engineering dropout - transhumanism is to brain computer interface, what nuclear weapons are to nuclear physics. ”
― Abhijit Naskar, Amantes Assemble: 100 Sonnets of Servant Sultans

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