Ich habe hier im Jahr 2019 über die 130 Chrome-Tabs geschrieben, die ich geöffnet hatte. Heute habe ich mich entschlossen, diesen Beitrag zu erstellen, um auch alle Tabs zu posten, die ich 2023 geöffnet habe, damit ich sie später hier leichter finden kann, wenn ich wieder Informationen benötige. Darüber hinaus denke ich, dass Sie einige der Websites sehr interessant finden werden.

Self-Driving Cars | Coursera – https://www.coursera.org/specializations/self-driving-cars

Can Apple’s M1 Help You Train Models Faster & Cheaper Than NVIDIA’s V100? | m1-benchmark – Weights & Biases – https://wandb.ai/vanpelt/m1-benchmark/reports/Can-Apple-s-M1-help-you-train-models-faster-cheaper-than-NVIDIA-s-V100—VmlldzozNTkyMzg

Machine Learning: The Great Stagnation – by Mark Saroufim – https://marksaroufim.substack.com/p/machine-learning-the-great-stagnation

Graphcore: Accelerating machine learning in the cloud – https://www.graphcore.ai/

Startups look beyond lidar for autonomous vehicle perception | TechCrunch – https://techcrunch.com/2021/01/16/startups-look-beyond-lidar-for-autonomous-vehicle-perception/

Homepage – Eye-Net Mobile – https://www.eyenet-mobile.com/

Phoenix Neutron Imaging | Neutron Image Gallery – https://www.phoenixneutronimaging.com/insights-and-updates/neutron-image-gallery

You Don’t Really Need Another MOOC – https://eugeneyan.com/writing/you-dont-need-another-mooc/

How We Develop AI for 510(k)-Cleared Devices – https://innolitics.com/articles/machine-learning-development-for-medical-devices/

Provident Vehicle Detection at Night (PVDN) | Kaggle – https://www.kaggle.com/datasets/saralajew/provident-vehicle-detection-at-night-pvdn

A library fit for a king | British Museum – https://www.britishmuseum.org/blog/library-fit-king

Legacy Survey Sky Browser – https://viewer.legacysurvey.org/#NGC%20442

CS193p – Developing Apps for iOS – https://cs193p.sites.stanford.edu/

IEEE Publication Recommender – https://publication-recommender.ieee.org/periodicals

„But How Do I Actually Start?“ Making Games on Your Own as an Engineer | Eyas’s Blog – https://blog.eyas.sh/2021/02/unity-for-engineers-pt11-development-process/

Framework | Framework Laptop 13, now with AMD and Intel options, and – https://frame.work/de/en

Home Page – FPGA Tutorial – https://fpgatutorial.com/

Testing Machine Learning Systems: Code, Data and Models – Made With ML – https://madewithml.com/courses/mlops/testing/

A.I. Triad – https://ai-triad.com/

A.I. Triad Website – JetsonHacks – https://jetsonhacks.com/2021/03/14/a-i-triad-website/

Solar Integration | Sono Motors – https://sonomotors.com/en/solar-integration/

Astro Anarchy: Milky Way, 12 years, 1250 hours of exposures and 125 x 22 degrees of sky THIS IS A PERMANENT POST, NEW POSTS ARE AFTER THIS POST – https://astroanarchy.blogspot.com/2021/03/gigapixel-mosaic-of-milky-way-1250.html

Home – manim documentation – https://3b1b.github.io/manim/index.html

Herbie: Automatically Improving Floating Point Accuracy – https://herbie.uwplse.org/

Modelplace.AI – https://modelplace.ai/

Введение в различные алгоритмы обучения с подкреплением (Q-Learning, SARSA, DQN, DDPG) / Хабр – https://habr.com/ru/articles/561746/

Different types of the convolution layers | Illarion’s Notes – https://ikhlestov.github.io/pages/machine-learning/convolutions-types/

Pepinierele Roman – Pomi fructiferi si material saditor, aclimatizati la noi in tara – https://pepinierele-roman.ro/

Animation Mentor | The Online Animation School – https://www.animationmentor.com/

Optimizing Solar Energy Production with Reinforcement Learning – https://www.jackogrady.me/reinforcement-learning-solar/research-summary

Mechanical Watch – Bartosz Ciechanowski – https://ciechanow.ski/mechanical-watch/

CS193p – Developing Apps for iOS – https://cs193p.sites.stanford.edu/

Planning is For Doing – by Nicholas Broune – https://biggestfish.substack.com/p/planning-is-for-doing?s=r

Techniques for training large neural networks – https://openai.com/research/techniques-for-training-large-neural-networks

From Python to Numpy – https://www.labri.fr/perso/nrougier/from-python-to-numpy/

Write HTML Right – http://lofi.limo/blog/write-html-right

Learn RL online by building game AIs | Delta Academy – https://joindeltaacademy.com/

xDevs.com | Taking decent photographs of electronic hardware and PCBAs – https://xdevs.com/guide/hwphoto/

Introducing Dreamer: Scalable Reinforcement Learning Using World Models – Google AI Blog – https://ai.googleblog.com/2020/03/introducing-dreamer-scalable.html

Dr. R. W. Hamming’s Advice on Research – https://www.cs.utexas.edu/users/dahlin/bookshelf/hamming.html

OffSpec – https://www.offspec.io/

Life Is Not Short | DKB Show – https://dkb.show/post/life-is-not-short

T. Sundara Row’s Geometric exercises in paper folding : Sundara Rao, T. (Tandalam), b. 1853 : Free Download, Borrow, and Streaming : Internet Archive – https://archive.org/details/tsundararowsgeo00rowrich/mode/2up

Exercises in Machine Learning 2206.13446.pdf – https://arxiv.org/pdf/2206.13446.pdf

About this website | LOW←TECH MAGAZINE – https://solar.lowtechmagazine.com/about.html

Jenni AI – https://jenni.ai/pricing

Loom: Async Video Messaging for Work | Loom – https://www.loom.com/

Otter.ai – Voice Meeting Notes & Real-time Transcription – https://otter.ai/

Hardware Recommendations for Machine Learning / AI | Puget Systems – https://www.pugetsystems.com/solutions/scientific-computing-workstations/machine-learning-ai/hardware-recommendations/

Selecting CPU and GPU for a Reinforcement Learning Workstation | Experiences in Deep Learning – https://deeepwin.github.io/experience/hardware/2021/05/11/selecting-cpu-and-gpu.html

How I built a €25K Machine Learning Rig – by Emil Wallner – https://www.emilwallner.com/p/ml-rig

My deep learning rig – Non_Interactive – Software & ML – https://nonint.com/2022/05/30/my-deep-learning-rig/

How to Make Custom ESP32 Board in 3 Hours | Full Tutorial – Welldone Blog – https://welldoneblog.fedevel.com/2022/11/22/how-to-make-custom-esp32-board-in-3-hours-full-tutorial/

So, what is a physics-informed neural network? – Ben Moseley – https://benmoseley.blog/my-research/so-what-is-a-physics-informed-neural-network/

How do transistors work, anyway? – lcamtuf’s thing – https://lcamtuf.substack.com/p/how-do-transistors-work-anyway

Understanding Reinforcement Learning from Human Feedback (RLHF): Part 1 | RLHF – Weights & Biases – https://wandb.ai/ayush-thakur/RLHF/reports/Understanding-Reinforcement-Learning-from-Human-Feedback-RLHF-Part-1–VmlldzoyODk5MTIx

Annotated history of modern AI and deep neural networks – https://people.idsia.ch/~juergen/deep-learning-history.html

What we look for in a resume – https://huyenchip.com/2023/01/24/what-we-look-for-in-a-candidate.html

4 Decades of AI Compute – https://www.laconic.fi/ai-compute/

Welcome to the 🤗 Deep Reinforcement Learning Course – Hugging Face Course – https://huggingface.co/deep-rl-course/unit0/introduction?fw=pt

How to Land a Job in Machine Learning or Data Science – https://www.deeplearning.ai/blog/how-to-land-a-job-in-machine-learning-or-data-science/

EveryMe.ai – Beautiful AI profile pictures – https://www.everyme.co/

Mathematics for Machine Learning and Data Science Specialization – https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/

Pitfalls of Interpretability – Trustworthy AI – https://www.alexmeinke.de/2023/03/24/pitfalls-of-interpretability.html

Teaching – CS 229 – https://stanford.edu/~shervine/teaching/cs-229/

TinyJPG – Compress WebP, PNG and JPEG images intelligently – https://tinyjpg.com/

Nine Tools I Wish I Mastered before My PhD in Machine Learning | by Aliaksei Mikhailiuk | Towards Data Science – https://towardsdatascience.com/nine-tools-i-wish-i-mastered-before-my-phd-in-machine-learning-708c6dcb2fb0

Global Electricity Review 2022 | Ember – https://ember-climate.org/insights/research/global-electricity-review-2022/

Residential electricity prices worldwide 2022 | Statista – https://www.statista.com/statistics/263492/electricity-prices-in-selected-countries/

Cooperative Time and Energy-Optimal Lane Change Maneuvers for Connected Automated Vehicles – https://par.nsf.gov/servlets/purl/10220239

Ecological driving on multiphase trajectories and multiobjective optimization for autonomous electric vehicle platoon | Scientific Reports – https://www.nature.com/articles/s41598-022-09156-2

Sustainability | Free Full-Text | Traffic Signal Control via Reinforcement Learning for Reducing Global Vehicle Emission – https://www.mdpi.com/2071-1050/13/20/11254/htm

Basic Electronics Part 1 – YouTube – https://www.youtube.com/watch?v=nb4ovfwqup8

Getting Started with Python Deep Learning for Beginners – YouTube – https://www.youtube.com/watch?v=19LQRx78QVU

How to submit | Physics-informed machine learning and its real-world applications – https://www.nature.com/collections/hdjhcifhad/how-to-submit

Towards Green AI with tensor networks 2205.12961.pdf – https://arxiv.org/pdf/2205.12961.pdf

Environmental impacts of autonomous vehicles: A review of the scientific literature – ScienceDirect – https://www.sciencedirect.com/science/article/pii/S0048969722017089

[2108.09518] MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? – https://arxiv.org/abs/2108.09518

Diversity of options to eliminate fossil fuels and reach carbon neutrality across the entire European energy system – ScienceDirect – https://www.sciencedirect.com/science/article/pii/S2542435122002367?via%3Dihub

[2206.05229] Measuring the Carbon Intensity of AI in Cloud Instances – https://arxiv.org/abs/2206.05229

[2110.08350] Differentiable Network Pruning for Microcontrollers – https://arxiv.org/abs/2110.08350

[2211.02001] Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model – https://arxiv.org/abs/2211.02001

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning – https://arxiv.org/pdf/2302.08476.pdf

DayDreamer: World Models for Physical Robot Learning – https://danijar.com/project/daydreamer/

Dreamer v2: Mastering Atari with Discrete World Models (Machine Learning Research Paper Explained) – YouTube – https://www.youtube.com/watch?v=o75ybZ-6Uu8

Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python) – YouTube – https://www.youtube.com/watch?v=zfiSAzpy9NM

Practical Deep Learning for Coders – 1: Getting started – https://course.fast.ai/Lessons/lesson1.html

Quantization for Fast and Environmentally Sustainable Reinforcement Learning – Google AI Blog – https://ai.googleblog.com/2022/09/quantization-for-fast-and.html

Electricity Maps | Reduce carbon emissions with actionable electricity data – https://www.electricitymaps.com/

The multi-billion-dollar potential of synthetic data | VentureBeat – https://venturebeat.com/ai/the-multi-billion-dollar-potential-of-synthetic-data/amp/

Sustainable Systems Engineering (Master of Science) — Die Technische Fakultät – https://www.tf.uni-freiburg.de/de/studienangebot/sustainable-systems/m-sc-sustainable-systems-engineering

Improving generalization to new environments and removing catastrophic
forgetting in Reinforcement Learning by using an eco-system of agents 2204.06550.pdf – https://arxiv.org/pdf/2204.06550.pdf

Goodbye, Data Science – r y x, r – https://ryxcommar.com/2022/11/27/goodbye-data-science/

Understanding Reinforcement Learning from Human Feedback (RLHF): Part 1 | RLHF – Weights & Biases – https://wandb.ai/ayush-thakur/RLHF/reports/Understanding-Reinforcement-Learning-from-Human-Feedback-RLHF-Part-1–VmlldzoyODk5MTIx

Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications | IEEE Conference Publication | IEEE Xplore – https://ieeexplore.ieee.org/document/9575616

What we look for in a resume – https://huyenchip.com/2023/01/24/what-we-look-for-in-a-candidate.html

Computer vision technology in agriculture | SuperAnnotate – https://www.superannotate.com/blog/computer-vision-in-agriculture

DataPerf: the Leaderboard for Data | MLCommons – https://mlcommons.org/en/news/dataperf-the-leaderboard-for-data/

Choose Your Weapon: Survival Strategies for Depressed AI Academics – https://arxiv.org/abs/2304.06035

ChatGPT Is Consuming a Staggering Amount of Water – https://futurism.com/the-byte/chatgpt-ai-water-consumption

Terence Tao Career advice – https://terrytao.wordpress.com/career-advice/


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