The hottest Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data Science Weekly - Issue 332

Data Science Weekly Newsletter • 19 implied HN points • 02 Apr 20
🕹 Technology Data science Machine Learning Artificial Intelligence Deep Learning Computing
  1. Agent57 is a new deep learning agent that can beat human scores in all Atari games. It's a big step forward in how we measure AI performance.
  2. During the COVID-19 crisis, it's important to approach data honestly and with curiosity. This helps individuals responsibly discuss topics outside their expertise.
  3. ACM is offering free access to their digital library to support research and learning during the pandemic. This allows more people to access valuable computing resources.

Data Science Weekly - Issue 326

Data Science Weekly Newsletter • 19 implied HN points • 20 Feb 20
🕹 Technology AI Data science Machine Learning Software Development Computing
  1. AI businesses operate differently than traditional software companies and can seem more like service companies.
  2. Spotify Wrapped is a big marketing campaign that shares users' listening habits over the past year, showcasing engineering efforts to handle data.
  3. Addressing algorithmic bias in AI is becoming more important, and companies are working on ways to make AI fairer and more transparent.

Data Science Weekly - Issue 325

Data Science Weekly Newsletter • 19 implied HN points • 13 Feb 20
🕹 Technology AI Machine Learning Data science Innovation Computing
  1. AI is being closely studied for its effects on the economy, including job creation and productivity. Experts are discussing how to ensure the benefits of AI are widely shared.
  2. Machine learning researchers are advised to choose their problems wisely and manage their time effectively. Simple guidance can help them advance in their careers.
  3. New technologies like brain implants are emerging to restore vision in blind individuals. This innovation shows the potential for technology to enhance human capabilities.
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Data Science Weekly - Issue 311

Data Science Weekly Newsletter • 19 implied HN points • 07 Nov 19
🕹 Technology Artificial Intelligence Machine Learning Data science Healthcare Tech Computing
  1. Neural networks using biological strategies are improving, suggesting that ignoring specific goals could help create smarter machines.
  2. AI in healthcare is growing quickly, but there are challenges in making these technologies actually work in hospitals and clinics.
  3. When applying for data science jobs, resumes should focus more on results and actions rather than just academic achievements.

Are we so good to simulate?

world spirit sock stack • 1 implied HN point • 04 Mar 24
🔬 Science Simulation Existence Technology Computing Resources
  1. The Simulation Argument suggests that if technologically advanced civilizations are likely to create 'ancestor simulations,' then it's probable we are currently living in one.
  2. A counterargument questions the high cost and resources needed to run simulations of confused minds, suggesting that the majority of minds in a location are likely correct about their reality.
  3. The idea that simulating history is extremely cheap challenges the assumption that all possibilities will be pursued given finite resources and many potential simulations.

Data Science Weekly - Issue 282

Data Science Weekly Newsletter • 19 implied HN points • 18 Apr 19
🕹 Technology Data science Machine Learning Software Development Artificial Intelligence Computing
  1. Machine learning applications can be limited by a lack of computing power. Many teams have ideas they want to explore, but they can't because their current systems can’t handle the demands.
  2. Estimating the time needed for software projects is challenging and often leads to underestimating. It's important to consider statistical factors that can affect project timelines.
  3. Focusing solely on the performance of a machine learning model can be a mistake. It's better to look at how the model fits into a larger system and how it interacts with other components.

Introduction to Hash Tables

Photon-Lines Substack • 2 HN points • 09 Jul 23
🕹 Technology Data Structures Algorithms Hashing Computing Programming
  1. Hash tables allow for efficient storage and retrieval of key-value pairs using hash functions.
  2. Real-world applications of hash tables include dictionaries, caching systems, database indexing, and symbol tables in compilers.
  3. Good hash functions must be efficient, deterministic, and ensure a uniform distribution of generated keys to avoid collisions.

Strategic Computing's Machine Acquisition Program

FreakTakes • 1 implied HN point • 05 Nov 23
🕹 Technology Computing AI Research Hardware
  1. The Machine Acquisition Program helped DARPA researchers acquire expensive machines for AI research at a lower cost through negotiation with manufacturers.
  2. The program had successful cost savings but faced challenges due to rapid technological changes, making some purchased machines obsolete within a few years.
  3. Lessons learned included the importance of adapting to evolving technology, weighing risks of investing in rapidly changing fields, and considering long-term impacts of equipment purchases.

Data Science Weekly - Issue 147

Data Science Weekly Newsletter • 19 implied HN points • 15 Sep 16
🕹 Technology AI Machine Learning Data science Computing Automation
  1. Deep learning works well not just because of math but also due to physics, which helps reduce complexity in models.
  2. AI is a tool, similar to a calculator or smartphone, and we need to adapt to its presence in our lives rather than fear it will replace us.
  3. Machine learning can be learned quickly, and even a total beginner can start applying it in a work setting with some dedication.

Intel APX

The Chip Letter • 1 HN point • 25 Jul 23
🕹 Technology Computing Hardware Software Architecture Innovation
  1. Intel announced APX, the next evolution of Intel architecture, with improvements in registers and performance
  2. The introduction of APX includes doubling the number of general purpose registers, new instructions, and enhancements for better performance
  3. Intel also revealed a new vector ISA, AVX10, to establish a common vector instruction set across all architectures

Data Science Weekly - Issue 83

Data Science Weekly Newsletter • 19 implied HN points • 25 Jun 15
🕹 Technology Data science Machine Learning AI Analytics Computing
  1. A neural conversational model has been developed by Google to build better chatbots that can understand and respond like humans.
  2. Data mining has uncovered surprising factors that make movies successful, challenging previous beliefs about relying only on famous actors.
  3. There has been a significant drop in death rates from heart disease due to improved emergency treatments in hospitals.

The Age of the App is Over

Keeping Tabs by The Browser Company • 1 HN point • 30 Mar 23
🕹 Technology Apps Smartphones Computing Design
  1. Our smartphones have made us think about life in a specific way with apps, but our digital lives are more complex now.
  2. Our digital spaces should be designed around people, projects, and goals rather than the traditional app-centric model.
  3. We should have the freedom to search across all apps, build our own organizational structures, and express ourselves in our digital spaces.

Siêu hacker

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 17 May 11
🕹 Technology Programming Security Software Mathematics Computing
  1. Software like MPlayer, Google Chrome, and VLC all use the FFmpeg library, which is also likely used in other devices like TVs and phones.
  2. Technologies such as Xen, VirtualBox, and Linux Kernel-based Virtual Machine utilize QEmu, with even cloud computing services like Amazon EC2 running on Xen.
  3. The International Obfuscated C Code Contest (IOCCC) showcases creative and complex C code snippets, with past winners achieving incredible feats like calculating massive prime numbers and building self-compiling compilers in minimal bytes.

How to seed systems

Joshua Gans' Newsletter • 0 implied HN points • 11 Feb 24
🕹 Technology UI AI Systems Computing AR/VR
  1. New systems are born from the discovery of the right user interface for a technology, which lowers accessibility costs and incentivizes new applications.
  2. Apple has a history of seeding ecosystems by creating the right user interface - such as with graphical computing and mobile computing.
  3. The Vision Pro by Apple exemplifies the importance of UI innovation, especially for technologies like spatial computing, which has the potential for transformative impacts.

Tripping on the Interwebs

Links I Would Gchat You If We Were Friends • 0 implied HN points • 20 May 15
🕹 Technology AI Computing Internet Tech Ethics
  1. IBM's Watson continues to advance in intelligence and capabilities, sparking discussions about the potential implications of AI technology.
  2. Zoltan Istvan, a 'transhumanist,' believes in the possibility of a robot ruling the world, highlighting controversial viewpoints on AI development.
  3. There is a trend towards advocating for building and customizing your own computer, akin to the slow food movement but in the realm of technology.

Phép chia dài

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 23 Sep 13
🚌 Education Mathematics Programming Algorithms Computing Problem Solving
  1. Estimating the first digit of the quotient in long division can help reduce the number of calculations needed.
  2. Understanding Knuth's Long Division algorithm can aid in efficiently performing arithmetic operations on large integers.
  3. Choosing a smart value for the base when dividing large numbers can lead to more accurate estimations and fewer operations required.

2024-06-15-Not Standing On The Shoulders Of Giants

Paul’s Substack • 0 implied HN points • 15 Jun 24
🕹 Technology Programming Computing Software Development Hardware Innovation
  1. Using old solutions for new problems may not be efficient if the context has drastically changed over time.
  2. The advancements in technology and accessibility of CPUs and memory have transformed the landscape of programming, making old techniques from the 1950s less relevant today.
  3. To address modern programming challenges, consider utilizing message passing, embracing multiple programming languages, and creating IDEs that cater to the current technological environment.

A model for computing goals as signals

Space chimp life • 0 implied HN points • 30 May 23
🕹 Technology Computing Physics Mathematics Modeling
  1. Detecting the position of a particle is crucial, as it helps decide if action is needed or not. A good detection system can distinguish between being inside or outside a boundary.
  2. The effectiveness of an actuator is important too. It should reliably apply force when needed, helping to keep the particle within the desired area.
  3. Adding more detectors and actuators can enhance the chances of success, but they still can't guarantee it. Each added component improves the probability but only approaches success asymptotically.

256 Colours are all you need

Tecnica • 0 implied HN points • 28 Jul 24
🕹 Technology Computing Graphic design Data processing
  1. Dithering is a technique used in digital images to make them look better with fewer colors. By mixing colors, it tricks our eyes into seeing more depth and detail.
  2. True-color images have over 16 million colors, but most images only need around 256 colors. Using a smaller palette can save space without losing too much quality.
  3. Old computer systems used 'dither' to improve calculations, and similar methods in image processing help create better images even with limited color choices. This shows how clever techniques can enhance user experiences with less.

A Crazy Week for AI! 🤯

Sector 6 | The Newsletter of AIM • 0 implied HN points • 29 Jul 24
🕹 Technology Artificial Intelligence Software Development Tech news Innovation Computing
  1. OpenAI launched SearchGPT, which could compete strongly with Google and disrupt its monopoly. It's exciting to see new options in search engines.
  2. Meta released Llama 3.1, putting it ahead of GPT-4 in terms of AI advancements. This shows how rapidly technology is evolving.
  3. Elon Musk is introducing updates to Grok, aiming to surpass current AI models, which means we can expect even more powerful AI tools soon.

Links #3

Splitting Infinity • 0 implied HN points • 07 Sep 23
🔬 Science Biology Physics Engineering Computing Research
  1. The use of genetically modified neurons to improve MRI imaging of the brain by producing protein-based contrast agents is an intriguing idea.
  2. Real hedge funds do not seem to use certain advanced algorithms for portfolio selection despite proven performance improvement.
  3. FPGA's are versatile hardware that can be programmed for various computational tasks and have applications in fields like antennas, random number generation, and hardware security.

Friendship aside, AI comes first

Sector 6 | The Newsletter of AIM • 0 implied HN points • 11 Jul 24
🕹 Technology AI Computing Innovation Business Industry
  1. Elon Musk values honest feedback from friends to improve his work. He believes that friends often know what needs to change but may hesitate to share it.
  2. Recently, Musk's business decisions have strained his friendship with Larry Ellison. A major cloud computing deal between their companies fell through.
  3. The fallout from the deal caused a drop in Oracle's stock prices, indicating the financial impact of their fractured relationship.

Apple Custom Silicon ✨

Sector 6 | The Newsletter of AIM • 0 implied HN points • 08 May 24
🕹 Technology AI Computing Hardware Software Innovation
  1. The new Apple M4 chip uses advanced 3-nanometer technology. This makes devices like the iPad Pro faster and more energy efficient.
  2. The M4 chip has a powerful Neural Engine that can handle huge amounts of data quickly. This improves features like Live Captions and Visual Look Up.
  3. Apple showcased the M4 chip at a recent event, highlighting its role in enhancing AI capabilities and display quality.

Compute is the New Oil 🖥️⚡🛢️

Sector 6 | The Newsletter of AIM • 0 implied HN points • 10 Apr 24
🕹 Technology AI Software Computing Innovation Startups
  1. Computing power is becoming as valuable as oil, which means it's a key resource for businesses today. Just like oil transformed the economy, computing is driving innovation.
  2. Big names in tech are working on solving the energy and computing challenges that come with scaling AI services. This is crucial for making AI accessible to more people.
  3. Generative AI is gaining a lot of attention, and there's a push to make these applications work for millions of users. The goal is to provide better services through advanced computing.

All Hail the GPU King

Sector 6 | The Newsletter of AIM • 0 implied HN points • 21 Mar 24
🕹 Technology AI Computing Hardware Innovation Partnerships
  1. NVIDIA is a leading company in technology and AI, loved by many for its contributions to the AI revolution.
  2. Most tech companies partner with NVIDIA to enhance their capabilities, making it a central figure in the industry.
  3. The high regard for NVIDIA is illustrated by how prominent tech CEOs show great respect for its CEO, Jensen Huang, at events.

invisible terminal

Kotobago Newsletter • 0 implied HN points • 20 Sep 23
🕹 Technology Computing Accessibility Interfaces Storage
  1. Ubiquitous computing may not always involve augmented displays, but could include no display at all.
  2. Consider exploring how blind individuals use computers and the tools they use for programming.
  3. Blob storage can offer a modern alternative to conventional filesystem navigation by eliminating the need for creating folders.

The Evolution of Computing: From 8-bit to 64-bit

Deus In Machina • 0 implied HN points • 31 Aug 23
🕹 Technology Computing Hardware Software Evolution
  1. Computing technology evolved from 8-bit to 64-bit architectures over the years, impacting how we use and understand computers.
  2. Understanding bits, nibbles, and bytes provides insight into the fundamental units of computer data representation and processing.
  3. The transition from 8-bit to 64-bit computing brought advancements in hardware, software development, and overall system performance.

Abrupt skill emergence in Large Language Models

Intuitive AI • 0 implied HN points • 31 Aug 23
🕹 Technology AI Machine Learning Data science Computing Research
  1. General Large Language Model performance can be predicted based on compute, dataset size, and parameter count.
  2. Task-specific abilities in models show abrupt jumps in proficiency as the parameter count increases.
  3. Abrupt skill emergence is observed in models for tasks like adding numbers or unscrambling words as they reach certain parameter thresholds.

LLMs Getting Cheaper 🤗 🔥

Sector 6 | The Newsletter of AIM • 0 implied HN points • 17 Jul 24
🕹 Technology AI Computing Hardware Software Data
  1. The cost to train large language models, like GPT-2, has dropped significantly, now around $672 for training in just one day. This makes it easier for more people to work with LLMs.
  2. Improvements in hardware, software, and the quality of data have contributed to these lower costs. Better GPUs and tools for training make everything run smoother.
  3. As training becomes cheaper, we can expect more innovations and access to language models, allowing more individuals and businesses to use these advanced technologies.

Hello 2024 — The Year Computing Changes Forever

Spatial Web AI by Denise Holt • 0 implied HN points • 01 Jan 24
🕹 Technology Artificial Intelligence Computing AI Ethics
  1. The computing landscape is evolving dramatically in 2024, marked by the emergence of groundbreaking technologies beyond Generative AI.
  2. VERSES AI is at the forefront of shaping this new computing paradigm, introducing a comprehensive framework for the future of computing.
  3. Active Inference AI, exemplified by VERSES, represents a significant leap towards achieving Artificial General Intelligence in an energy-efficient and sustainable manner.