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| 1 | +🧠 1. arXiv (the real heartbeat of modern computing research) |
| 2 | +This is the place where new ideas appear first — often months before journals. |
| 3 | + |
| 4 | +Most computing researchers subscribe to daily alerts for categories like: |
| 5 | + |
| 6 | +cs.AI – artificial intelligence |
| 7 | + |
| 8 | +cs.LG – machine learning |
| 9 | + |
| 10 | +cs.DC – distributed computing |
| 11 | + |
| 12 | +cs.OS – operating systems |
| 13 | + |
| 14 | +cs.AR – architecture |
| 15 | + |
| 16 | +cs.CR – cybersecurity |
| 17 | + |
| 18 | +cs.PL – programming languages |
| 19 | + |
| 20 | +cs.NI – networking |
| 21 | + |
| 22 | +cs.SE – software engineering |
| 23 | + |
| 24 | +arXiv is where companies like Google, Meta, Microsoft, and OpenAI publish early work. |
| 25 | + |
| 26 | +📧 2. Mailing lists that industry researchers actually follow |
| 27 | +These are surprisingly influential. |
| 28 | + |
| 29 | +• ACM SIGPLAN, SIGOPS, SIGARCH mailing lists |
| 30 | +For programming languages, operating systems, and architecture. |
| 31 | + |
| 32 | +• IETF mailing lists |
| 33 | +For networking standards and protocol development. |
| 34 | + |
| 35 | +• Linux Kernel Mailing List (LKML) |
| 36 | +The beating heart of systems programming. |
| 37 | +Engineers from Intel, Red Hat, Google, and others follow it religiously. |
| 38 | + |
| 39 | +• LLVM mailing lists |
| 40 | +Compiler engineers live here. |
| 41 | + |
| 42 | +• Apache Foundation mailing lists |
| 43 | +For distributed systems, big data, and cloud infrastructure. |
| 44 | + |
| 45 | +These lists are where new ideas often appear before papers. |
| 46 | + |
| 47 | +📚 3. Journals (less dominant than in other sciences, but still important) |
| 48 | +In computing, conferences matter more than journals — but journals still play a role. |
| 49 | + |
| 50 | +Key ones include: |
| 51 | + |
| 52 | +Communications of the ACM (CACM) |
| 53 | + |
| 54 | +IEEE Computer |
| 55 | + |
| 56 | +ACM Transactions on Computer Systems (TOCS) |
| 57 | + |
| 58 | +ACM Transactions on Graphics (TOG) |
| 59 | + |
| 60 | +IEEE Transactions on Computers |
| 61 | + |
| 62 | +Journal of Machine Learning Research (JMLR) |
| 63 | + |
| 64 | +Foundations and Trends in Machine Learning |
| 65 | + |
| 66 | +These are more “slow burn” sources — deeper, more polished work. |
| 67 | + |
| 68 | +🎤 4. Conferences (the real powerhouse of computing research) |
| 69 | +Unlike physics or biology, computer science is conference‑driven. |
| 70 | + |
| 71 | +The big ones: |
| 72 | + |
| 73 | +Systems & Architecture |
| 74 | +OSDI |
| 75 | + |
| 76 | +SOSP |
| 77 | + |
| 78 | +ASPLOS |
| 79 | + |
| 80 | +ISCA |
| 81 | + |
| 82 | +Machine Learning |
| 83 | +NeurIPS |
| 84 | + |
| 85 | +ICML |
| 86 | + |
| 87 | +ICLR |
| 88 | + |
| 89 | +Security |
| 90 | +USENIX Security |
| 91 | + |
| 92 | +Black Hat |
| 93 | + |
| 94 | +DEF CON |
| 95 | + |
| 96 | +IEEE S&P |
| 97 | + |
| 98 | +Networking |
| 99 | +SIGCOMM |
| 100 | + |
| 101 | +NSDI |
| 102 | + |
| 103 | +Programming Languages |
| 104 | +PLDI |
| 105 | + |
| 106 | +POPL |
| 107 | + |
| 108 | +Industry engineers follow these closely — often more than journals. |
| 109 | + |
| 110 | +🌐 5. Community hubs (where ideas spread fastest) |
| 111 | +These are the “informal” channels that matter more than people admit. |
| 112 | + |
| 113 | +• Hacker News |
| 114 | +Surprisingly influential for early‑stage ideas. |
| 115 | + |
| 116 | +• Reddit communities |
| 117 | +r/MachineLearning |
| 118 | + |
| 119 | +r/ProgrammingLanguages |
| 120 | + |
| 121 | +r/Compilers |
| 122 | + |
| 123 | +r/Networking |
| 124 | + |
| 125 | +r/AskNetsec |
| 126 | + |
| 127 | +• Twitter/X (for researchers) |
| 128 | +Many breakthroughs circulate here first. |
| 129 | + |
| 130 | +• GitHub trending |
| 131 | +New tools and frameworks often appear here before papers. |
| 132 | + |
| 133 | +• Company blogs |
| 134 | +Google, Meta, Microsoft, Nvidia, and Apple publish cutting‑edge research summaries. |
| 135 | + |
| 136 | +🧩 6. Internal channels inside companies |
| 137 | +This is the part outsiders don’t see. |
| 138 | + |
| 139 | +Big tech companies have: |
| 140 | + |
| 141 | +internal mailing lists |
| 142 | + |
| 143 | +weekly research digests |
| 144 | + |
| 145 | +reading groups |
| 146 | + |
| 147 | +seminar series |
| 148 | + |
| 149 | +internal Slack/Teams channels |
| 150 | + |
| 151 | +“paper of the week” clubs |
| 152 | + |
| 153 | +Engineers often read papers during work hours — it’s considered part of staying sharp. |
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