The hottest Research Substack posts right now

And their main takeaways
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[in case you missed it] Data Science Weekly - Issue 312

Data Science Weekly Newsletter • 0 implied HN points • 16 Nov 19
🕹 Technology Research
  1. Researchers are discovering ways to turn brain signals into speech, which could change how people communicate.
  2. There's a growing concern about bias in AI systems, and finding solutions is important to ensure fairness.
  3. Data scientists are highly sought after in the job market, highlighting the importance of skills in data analysis and machine learning.

[in case you missed it] Data Science Weekly - Issue 310

Data Science Weekly Newsletter • 0 implied HN points • 02 Nov 19
🕹 Technology Research
  1. Rising sea levels are going to affect more cities than we thought, and scientists are using AI to improve predictions about future coastlines.
  2. A new neural network can solve a difficult math problem much faster than before, showing how machine learning can change traditional math approaches.
  3. DeepMind's AI has learned to play StarCraft II better than most human players, using self-cooperation to develop new strategies in the game.

[in case you missed it] Data Science Weekly - Issue 301

Data Science Weekly Newsletter • 0 implied HN points • 01 Sep 19
🕹 Technology Research
  1. Effective management of data science teams requires specific skills and knowledge. Leaders should know how to build and sustain their teams well.
  2. Research takes time and effort, as shown by the history of neural networks. It's important to have patience and persistence in this field.
  3. Estimating the time for software projects can be difficult. This is often due to the unpredictable nature of problem-solving involved in the work.

[in case you missed it] Data Science Weekly - Issue 251

Data Science Weekly Newsletter • 0 implied HN points • 15 Sep 18
🕹 Technology Research
  1. AI systems, like Amazon's Echo, rely on a mix of resources including technology, labor, and nature to work effectively.
  2. Fake news can influence people's voting choices, and there's a mathematical way to show how it happens.
  3. Machine learning tools are becoming easier to use, allowing people to explore and understand models without needing to write code.

[in case you missed it] Data Science Weekly - Issue 247

Data Science Weekly Newsletter • 0 implied HN points • 18 Aug 18
🕹 Technology Research
  1. Coursera has a new AI tool that helps companies see what skills their employees are learning. This way, workers can find out what skills they might still need.
  2. A small team of student AI coders has achieved success that rivals Google's machine-learning code. This shows that innovative work in AI can come from anywhere, not just big companies.
  3. Facebook's chief AI scientist believes that better collaboration between industry and academia is essential for AI innovation. This partnership can lead to exciting developments in the field.
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Want To Buy: A Placebo

KCKlatt’s Substack • 0 implied HN points • 28 Feb 23
🏥 Health & Wellness Research
  1. Placebo-controlled trials help determine how well treatments work. They compare a new treatment to a fake one to see if there's real effectiveness.
  2. Learning about placebos is important in science when designing experiments. It’s one of the basics taught in research training.
  3. High-quality studies give us confidence in treatment results. Well-done trials show if a treatment is actually helping people.

Jings, an actual discovery

Digital Policy • 0 implied HN points • 28 Oct 24
🕹 Technology Research
  1. The research highlights that the modern state lacks proper structures for handling non-functional requirements in digital services. This is important for things like cybersecurity and data sharing.
  2. There's a difference between functional and non-functional specifications in government services. In the past, buildings and processes were separate, but now they need to be integrated to work effectively.
  3. The study emphasizes the need for institutional frameworks to better address the infrastructure requirements of modern digital governance.

Create an AI Podcast with Google’s NotebookLM

Handy AI • 0 implied HN points • 15 Oct 24
🕹 Technology Research
  1. Google's NotebookLM can turn your notes into a podcast. You just add sources like articles or videos, and it creates a conversation between AI hosts.
  2. You can easily download the finished podcast and share it online. The AI gives it a casual feel, but it might sound a bit robotic at times.
  3. While NotebookLM is fun to use, it can't fully match the unique touch of a human host. The AI lacks spontaneity and deep customization, making it less engaging than real conversations.

AI Weekly Update - October 11

Handy AI • 0 implied HN points • 11 Oct 24
🕹 Technology Research
  1. Tesla launched a new robotaxi called Cybercab that doesn't have a steering wheel or pedals. It's expected to be priced under $30,000 and available by 2026.
  2. Microsoft is introducing AI tools to help healthcare workers with tasks like medical imaging and paperwork. This aims to make their jobs easier and more efficient.
  3. AMD is competing with Nvidia by launching a new AI chip called Instinct MI325X, set to start production next year. Nvidia’s latest chips are already sold out for the next year.

Goldfish loss, eating less to live longer, & octopus adhesive strategies

The Strategy Toolkit • 0 implied HN points • 04 Nov 24
🕹 Technology Research
  1. Large language models can accidentally memorize and repeat their training data, which can lead to problems like copyright issues.
  2. To help avoid this memorization, researchers developed a method called 'goldfish loss' that randomly excludes some training tokens during the learning process.
  3. This technique helps models to generate responses without repeating exact phrases from their training data, while still performing well in other tasks.

Join the Good Better Best subscriber chat

Good Better Best • 0 implied HN points • 07 Nov 24
💼 Business Research
  1. There is a new subscriber chat for people who follow the Good Better Best publication. It's a place to discuss SaaS pricing and share ideas.
  2. To join the chat, you need to download the Substack app and turn on notifications. This way, you won't miss any updates or questions.
  3. Once you're in the app, find the chat icon, and you can start participating in conversations right away. It's easy and a great way to connect with others.

El Capitan: The world’s fastest supercomputer

philsiarri • 0 implied HN points • 19 Nov 24
🕹 Technology Research
  1. El Capitan is the fastest supercomputer, performing 1.742 quintillion calculations every second. This makes it much quicker than older systems.
  2. It cost $600 million to build and is 22 times faster than the previous supercomputer, Sierra, letting scientists complete long simulations in just days.
  3. This powerful machine helps with important tasks like climate change modeling and monitoring nuclear weapons, showcasing the U.S.'s strong tech capabilities in this area.

Electronic Biosciences Magnetic Motion Control

ASeq Newsletter • 0 implied HN points • 19 Nov 24
🔬 Science Research
  1. Electronic Biosciences is a company that has been around for a long time, focusing on nanopore technology for detection methods. They're known for getting funding from DARPA since around 2008.
  2. The company is developing new ways to control motion using magnetism, which could be cool in tech applications.
  3. The information about their patents shows they are continuing to innovate and explore different possibilities in the bioscience field.

More Money For Oxford

ASeq Newsletter • 0 implied HN points • 05 Nov 24
🔬 Science Research
  1. Oxford Nanopore is receiving increased funding. This suggests that there is a growing confidence in its potential.
  2. More money flowing to Oxford indicates a belief in innovation and growth. It's a positive sign for their future developments.
  3. Investors are likely seeing value in what Oxford Nanopore can offer. This could lead to exciting advancements in their technology.

ONT Not Suing MGI?

ASeq Newsletter • 0 implied HN points • 04 Nov 24
🔬 Science Research
  1. ONT has decided not to sue MGI after all. This means there won't be legal issues between these companies right now.
  2. The decision was reported by GenomeWeb, highlighting a significant change in ONT's approach.
  3. This could impact the business relationship between ONT and BGI, since they are linked in some way.

The NextSeq 550 LEDs And More Dye Experiments

ASeq Newsletter • 0 implied HN points • 03 Nov 24
🔬 Science Research
  1. The NextSeq 550 uses affordable components like $30 LEDs and image sensors, making it impressive for its cost-effective design.
  2. Experimenting with the LED pinout and driving them at certain voltage and current allowed for practical testing with a spectrometer.
  3. The author shares measurements taken through the NextSeq 550 optical system, indicating a hands-on approach to understanding its functionality.

All Aboard The NanoTrain! Chu Chu!

ASeq Newsletter • 0 implied HN points • 31 Oct 24
🔬 Science Research
  1. Universal Sequencing Technology is gaining attention again after being quiet for a while. People are curious about their progress and what they are focusing on now.
  2. They seem to have shifted their focus from single molecule sequencing to developing various sample preparation kits. This shows they are adapting to changes in the field.
  3. This update may be particularly interesting for those who follow advancements in sequencing technology and want to know about new tools or methods in the industry.

Generative A-Eye #16 - 14th Oct,2024

Martin’s Newsletter • 0 implied HN points • 14 Oct 24
🕹 Technology Research
  1. A new method for creating detailed indoor scenes uses user descriptions to guide the design, making it easier to visualize spaces accurately. This system tries to remember past views but still has challenges with consistency.
  2. A recent development focuses on anonymizing full-body images using advanced AI tools. This could address privacy concerns, although it's unclear how much demand there is for this kind of technology.
  3. The newsletter shares updates on AI image synthesis research, keeping readers informed on popular topics and breakthroughs in the field. It’s a great resource for anyone interested in the latest AI advancements.

Generative A-Eye #9 - 30th Sept,2024

Martin’s Newsletter • 0 implied HN points • 30 Sep 24
🕹 Technology Research
  1. A new method creates realistic videos of talking faces by combining 2D and 3D techniques. This can lead to better video avatars, although the initial results weren't perfect.
  2. Researchers are working on a new avatar technology that makes head avatars the right way without requiring heavy processing power. This could make avatar technology more accessible for regular devices.
  3. There's a toolkit available for analyzing facial expressions in real life. It combines various techniques to improve understanding of human emotions from images.

Generative A-Eye #5 - 20th Sept,2024

Martin’s Newsletter • 0 implied HN points • 20 Sep 24
🕹 Technology Research
  1. Many AI models struggle to keep characters and settings consistent in videos and images. This can be a problem when people want to create stories with clear narratives.
  2. A new project called StoryMaker aims to fix this issue by ensuring characters look the same across different images and scenes. It does this with some advanced techniques but can be quite resource-intensive to use.
  3. There's a noticeable trend in AI image and video generation research, where many systems use Western characters despite coming from East Asia. This raises questions about representation in AI technology.

Generative A-Eye

Martin’s Newsletter • 0 implied HN points • 12 Sep 24
🕹 Technology Research
  1. The newsletter will become daily and focus on exciting new research in human image synthesis. This will help keep subscribers updated on the latest advancements.
  2. The author has gained extensive knowledge about AI-based image synthesis through their work at Metaphysic and wants to share this with readers. They have seen how challenging it is to create human-like images using AI.
  3. The newsletter will include selected research papers and summaries to help researchers and readers understand important developments quickly. It’s a useful resource for anyone interested in AI and image creation.

Food fraud prevention strategies: Building an effective verification ecosystem (Manning, et. al. (2024) - A Review

The Rotten Apple • 0 implied HN points • 11 Nov 24
🍲 Food & Drink Research
  1. Food fraud is a big problem, and understanding the latest research can help businesses protect themselves better. Keeping updated with new methods to prevent fraud is important for food safety professionals.
  2. Creating a strong verification ecosystem is key to preventing food fraud. This means having reliable checks and balances in place to ensure the integrity of food products.
  3. The research emphasizes practical strategies to combat food fraud. Using these strategies can make a real difference in how businesses manage food safety and trust.

Your Support Keeps 'Outspoken' Alive

Outspoken with Dr Naomi Wolf • 0 implied HN points • 26 Nov 24
🏥 Health Politics Research
  1. Community support is crucial for sharing important news and research. Your involvement helps keep the conversation going.
  2. DailyClout’s research on Pfizer and Moderna vaccines has produced meaningful reports that are available for public access.
  3. Financial contributions from the community allow independent journalism to thrive and grow its reach.

Wax On, Data On: Why Systems Biology Needs Its Mr. Miyagi Moment

Nano Thoughts • 0 implied HN points • 11 Dec 24
🔬 Science Research
  1. Building a strong foundation before specialized learning is important. Just like in karate, having basic skills helps in mastering advanced techniques later.
  2. Large datasets without labels are crucial for training AI in systems biology. These datasets can help uncover hidden patterns in biology, similar to how language models learn from vast amounts of text.
  3. Advanced AI can make healthcare more personalized and efficient. With better AI models, diagnoses may be quicker, and treatments could be more suited to each person's needs.

Air Street: 2024 year in review

Guide to AI • 0 implied HN points • 12 Jan 25
🕹 Technology Research
  1. In 2024, a lot of money continued to flow into AI companies, with new investments and mergers happening across the industry. This shows that AI is still a hot topic and technology is growing quickly.
  2. Air Street had a very busy year, releasing new reports and hosting many events that brought together people interested in AI. These events helped foster connections and share knowledge among researchers and entrepreneurs.
  3. The community is excited for the future of AI, as they believe we're just at the beginning of its potential. People are looking forward to seeing what new ideas and advancements will come in 2025.

2024's greatest hits on Air Street Press

Guide to AI • 0 implied HN points • 29 Dec 24
🕹 Technology Research
  1. Data acquisition is crucial for AI startups. It's important to know different methods like using synthetic data and scraping from various sources.
  2. Strong storytelling helps tech companies succeed. Good story-telling is needed to explain technology and attract support.
  3. AI's energy needs are growing, making nuclear energy a potential solution. However, the speed of building new infrastructure to support it must improve.

Element@JPM

ASeq Newsletter • 0 implied HN points • 16 Jan 25
💼 Business Research
  1. Element Biosciences is focused on partnerships aimed at diagnostics and proteomics. This shows they are expanding their technology for better healthcare solutions.
  2. The company's presentation at the JPM conference was notable, even if the details are not easily found online. It hints that their innovations are gaining attention.
  3. The updates are specifically for paid subscribers, indicating that there's exclusive information available for those who support the publication.

EU approves funding for Infineon’s €1 billion Smart Power Fab in Dresden

philsiarri • 0 implied HN points • 20 Feb 25
🕹 Technology Research
  1. The EU is giving money to help build Infineon's new semiconductor factory in Dresden, which will cost around €1 billion. This support is part of a wider effort to boost Europe's tech industry.
  2. Construction of the factory started in March 2023 and it is expected to open in 2026, creating up to 1,000 new jobs. This will help the local economy and provide new employment opportunities.
  3. The new facility will focus on making energy-efficient technology, especially for artificial intelligence. It will also encourage collaboration with universities to foster innovation in Europe.

Roche Nanopore: First Thoughts (pt2)

ASeq Newsletter • 0 implied HN points • 20 Feb 25
🕹 Technology Research
  1. Roche is developing a new duplex approach that improves sequencing accuracy significantly, moving from Q20+ to around Q39. This is a big upgrade for DNA sequencing.
  2. The company aims to launch their product in 2026, but early access is expected in 2025. There's a chance they could face challenges during execution.
  3. While Roche's reads are shorter and competitive with other platforms, they will need to handle pricing and compete with long-read technologies from companies like Oxford and PacBio.

Generative Agents 2.0

Gonzo ML • 0 implied HN points • 24 Feb 25
🕹 Technology Research
  1. Researchers successfully created AI agents that can simulate 1,052 real people with about 85% accuracy. This means the AI can closely mimic how real people would respond in various situations.
  2. The study highlights the importance of interviews over surveys, as they provide deeper insights into people’s behaviors and thoughts, allowing the AI to generate better follow-up questions and responses.
  3. These AI agents have potential uses in social science research. They could help predict public reactions to policy changes or simulate behavioral responses, leading to new methods of understanding human decision-making.

What would you most like to learn in Quant Finance?

Quantitative Finance - Research, Trading, Investing, & Algos • 0 implied HN points • 03 Jun 25
💰 Finance Research
  1. Learning about stochastic calculus, like Brownian motion and Itô’s Lemma, is important for understanding financial models. These concepts help us predict how prices will change over time.
  2. Mastering derivatives pricing, including the Black-Scholes model, is crucial for anyone dealing with options and risk management. It helps you figure out how much options should be worth.
  3. Exploring portfolio optimization techniques, like mean-variance, can help investors make better choices about how to allocate their money. It's about balancing risk and return effectively.

Libraries release historical book datasets for AI training

philsiarri • 0 implied HN points • 15 Jun 25
🕹 Technology Research
  1. Libraries are releasing old books in the public domain to help train AI models. This includes tons of books from many languages, going back to the 15th century.
  2. Using these public texts helps avoid legal problems tech companies face when they use copyrighted material. It also can improve the quality and reliability of AI.
  3. The dataset from Harvard is available for anyone to use on the Hugging Face platform. This gives researchers and developers a valuable resource for their AI projects.

Hedge-fund quality equity research, on demand

Valuabl • 0 implied HN points • 16 Jul 25
💼 Business Research
  1. ValuationBot helps you get stock valuations quickly, taking just 10 minutes unlike traditional methods that can take weeks. It uses the same techniques as top analysts for accurate results.
  2. Each report costs only $2.50 and comes with downloadable PDF and Excel models, making it affordable and easy to use. No need for subscriptions or complicated plans.
  3. If you're not happy with your reports, you can get a full refund without any hassle. It's a risk-free way to try out new research methods.

Save hours on your stock research

Valuabl • 0 implied HN points • 05 Jul 25
💼 Business Research
  1. ValuationBot is an AI tool that helps you research stocks much faster than traditional methods. This means less time spent on studying and more time for other activities.
  2. Using ValuationBot can help you invest like expert fund managers without needing to hire a large team. It's designed to save you money while giving you valuable insights.
  3. The AI-driven approach of ValuationBot allows you to get updated information quickly, making your investment decisions more efficient. This can lead to better financial outcomes.

Quant Letter: July 2025, Week-2

The Parlour • 0 implied HN points • 10 Jul 25
💰 Finance Research
  1. The article discusses solutions for better pricing of options using advanced mathematical models. Understanding these models can help investors make smarter decisions.
  2. A study highlights how overnight news can significantly influence stock market gains. Staying updated on news can be crucial for trading strategies.
  3. Subscribing to this resource offers access to detailed insights in finance and machine learning, which can benefit anyone interested in these fields.

Autonomous Labs: How AI Could Reshape Scientific Discovery

philsiarri • 0 implied HN points • 14 Aug 25
🔬 Science Research
  1. AI can help run labs with less human help, making experiments faster and more efficient. This opens up new possibilities for research that we haven't explored yet.
  2. Robotics and machine learning work together in these labs to analyze data in real-time. This helps scientists get results faster and improve their discoveries.
  3. As AI-driven labs become more common, they could change how we do science and lead to new types of breakthroughs in various fields.

Dorian Abbot | The War on Science Interviews | Day 21

Critical Mass • 0 implied HN points • 14 Aug 25
🔬 Science Research
  1. A series of interviews will be released, featuring various authors discussing the problems in science and academia today. These discussions aim to raise awareness and spark conversation.
  2. The authors talk about issues like the impact of cancel culture, distorted views on biology, and how social justice activism is affecting academic scholarship. They believe these are serious threats to science.
  3. The goal is to encourage a movement to restore trust and quality in science education. They want more people to speak out against the current challenges faced in universities.

Alex Byrne and Moti Gorin | The War on Science Interviews | Day 18

Critical Mass • 0 implied HN points • 11 Aug 25
🔬 Science Research
  1. A series of 20 interviews with authors from the book 'The War on Science' is being released daily. These interviews cover important topics affecting science and academia today.
  2. The discussions focus on issues like ideological corruption in science, cancel culture, and the impact of social justice activism on scholarship. It's crucial to recognize how these challenges are harming the pursuit of knowledge.
  3. The goal is to spark conversations that will help restore trust and excellence in science at universities. It's important for everyone to get involved and address these internal conflicts within academia.

Poisoning LLMs, parasitic ants, & AI technology stack strategies

The Strategy Toolkit • 0 implied HN points • 01 Dec 25
🕹 Technology Research
  1. Even a small number of bad documents in training data can harm large language models. Just 250 malicious documents can create serious security issues.
  2. The risk of poisoning attacks doesn't increase with the size of the model. This means defenses against such attacks are essential for all models, big or small.
  3. Current findings suggest that keeping training data clean and safe is crucial, as small amounts of poison can easily compromise model safety.

December Newsletter

RSS DS+AI Section • 0 implied HN points • 01 Dec 25
🕹 Technology Research
  1. Data science and AI are constantly evolving, with new technologies and tools emerging regularly. Keeping up with these changes is important for anyone interested in the field.
  2. Ethics in AI is a major topic right now. It's essential to discuss bias, regulation, and the moral implications of using AI in our lives.
  3. There are many opportunities to get involved in data science communities, whether through volunteering or participating in discussions. Joining these groups can help shape the future of data science.