solving

“I remember taking so many tours out there,” said Rentner, “and all the public funding agency partners would go, ‘OK, so you have a million dollars in hand, and you still need how many? How are you going to get there?’”“I don’t know,” Rentner told them in response. “We’re just gonna keep writing proposals, I guess.”Even once River Partners bought the land in 2012, Rentner found herself in a permitting nightmare: Each grant came with a separate set of conditions for what River Partners could and couldn’t do with the money,…

It’s the beginning of 2024 and ChatGPT just celebrated its one-year brithday. One year is a super long time for the community of large language models, where a myriad of interesting works have taken place. Let’s revisit the progress and discuss topics for the coming year.The School of Agents: LLMs are retrieving knowledge from textbooks and performing reasoning. Image by authors & DALL·E 3.This post was co-authored with Michael Galkin (Intel AI Lab), Abulhair Saparov (New York University), Shibo Hao (UC San Diego) and…

When you’re starving, hunger is like a demon. It awakens the most ancient and primitive parts of the brain, then commandeers other neural machinery to do its bidding until it gets what it wants.  Although scientists have had some success in stimulating hunger in mice, we still don’t really understand how the impulse to eat works. Now, some experts are following known parts of the neural hunger circuits into uncharted parts of the brain to try and find out. Their work could shed new light on the factors that have…

An object-oriented design to tackle general TSPs as a bedrock for modeling more complex routing problemsPhoto by Kelsey Knight on Unsplash👁️ This is article #5 of the series covering the project “An Intelligent Decision Support System for Tourism in Python”. I encourage you to check it out to get a general overview of the whole project. If you’re only interested in solving TSPs, this article is still for you, as I show an approach that makes it incredibly simple to solve any TSP. The article does build upon the previous…

Delving into one of the most common nightmares for data scientistsIntroductionOne of the biggest problems in linear regression is autocorrelated residuals. In this context, this article revisits linear regression, delves into the Cochrane–Orcutt procedure as a way to solve this problem, and explores a real-world application in fMRI brain activation analysis.Photo by Jon Tyson on Unsplash.General Linear Model (GLM) revisitedLinear regression is probably one of the most important tools for any data scientist. However,…

Leverage the flexibility of Pandas and PythonContinue reading on Towards Data Science » Leverage the flexibility of Pandas and PythonContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do…

Too Long; Didn't ReadTasks of this type often appear in interviews at major companies, and understanding the methods of their solution can be quite beneficial. The first task is 136. Single Number (easy)(https://leetcode.com/problems/single-number/)Given a non-empty array of integers, you need to find the element without a pair. Solve the problem in O(n) time complexity and with constant extra memory. Too Long; Didn't ReadTasks of this type often appear in interviews at major companies, and understanding the methods of…

University of Oxford researchers have uncovered the evolutionary reasons behind the diverse weaponry of bacteria. Using Pseudomonas aeruginosa, they demonstrated that short-range weapons are effective in low-density conditions, while long-range weapons excel at higher densities. This knowledge could be pivotal in developing new methods to fight drug-resistant bacteria. A new study led by the University of Oxford has shed light on why certain species of bacteria carry astonishing arsenals of weapons. The findings,…

Implementing, Solving, and Visualizing the Traveling Salesman Problem with PythonTranslate an optimization model from math to Python, optimize it, and visualize the solution to gain quick feedback on modeling errorsPhoto by John Matychuk on Unsplash👁️ This is article #3 of the series covering the project “An Intelligent Decision Support System for Tourism in Python”. I encourage you to check it out to get a general overview of the whole project. If you’re only interested in how to implement a model of the TSP in Python,…

For years it’s been obvious that online social services of all kinds are beset by a problem with bots. I work on a cybersecurity product that can go inline and literally watch bot traffic, and too often we’ve had to break the news to a young company that the vast majority of their traffic is bots logging into fake accounts.Unsurprisingly, there is a lot that people don’t understand about how the bot ecosystem works. Some bots are performing valuable services like scraping open reservation times for your favorite…