Latest news with #instructional
Associated Press
3 days ago
- Business
- Associated Press
Element Logic partners with Purdue University to add AutoStore to their Smart Lab
Element Logic will install an AutoStore system to act as a 'mock warehouse' within Purdue's Campus — home to a cutting-edge Smart Factory. 'Through Element Logic's integration, students now have real-time access to cutting-edge robotics and software that orchestrate order fulfillment with speed and precision.'— Parth Joshi, CPO at AutoStore MELBOURNE, FL, UNITED STATES, June 4, 2025 / / -- Element Logic is proud to announce the implementation of an AutoStore system, summer 2025, at Purdue Polytechnic School of Engineering Technology's campus in West Lafayette, Ind. Element Logic will install an AutoStore system to act as a 'mock warehouse' within Purdue's Campus — home to a cutting-edge Smart Factory. This is an important piece of Purdue University's commitment to driving innovation in automation and shaping the future of engineering education 'This collaboration with Element Logic will allow our students to interact directly with cutting-edge automation, gaining the skills and insights that will set them apart from day one in the workforce,' Daniel Castro, Dean of the Purdue Polytechnic, said. The Smart Learning Factory is designed to provide hands-on experience and immersive learning to prepare the next generation of engineers for a highly competitive and technically demanding marketplace. Acting as a microcosm of modern industry, the facility integrates advanced technologies such as IoT-connected devices, AI-driven optimization, and cybersecurity tools—mirroring the digital and physical systems students will encounter in real-world smart manufacturing environments. 'At Purdue Polytechnic, we are committed to giving students access to the most advanced technologies shaping today's industries,' Castro added. 'The integration of AutoStore into our Smart Factory reflects our hands-on, real-world approach to education.' The Smart Factory at Purdue brings together a fully integrated, flexible manufacturing environment—featuring several production machines, assembly lines, and now a highly efficient AutoStore system that will serve as the factory's dedicated warehouse solution. 'Integrating a top-tier, industrial-grade AS/RS in a compact educational facility is a challenging goal,' said Steve Musick, Smart Manufacturing Engineer for the Smart Learning Factory. 'AutoStore's leading-edge technology and proven scalability made it an ideal choice for our performance, space, and instructional requirements. Robert and the Element Logic team engaged with us immediately and were equally excited to turn this goal into a reality. Their global expertise in logistics and AutoStore integration makes them an invaluable partner for this deployment and for future endeavors.' 'Purdue's Smart Factory is already recognized as the nation's largest, most comprehensive smart-manufacturing learning ecosystem, and we're proud that a fully functioning AutoStore grid will now serve as its warehouse 'heart',' Robert Humphry, Executive Vice President at Element Logic, said. 'By giving students live access to the same cube-storage automation trusted by leading global retailers, we're turning classroom concepts into hands-on data, KPIs, and real-time problem solving.' With access to the densest ASRS technology, Purdue University's students, faculty, and guests will be able to test and understand —first-hand — real-time capabilities of automation. 'Seeing our AutoStore system serve as the core warehouse solution within Purdue's Smart Factory is a great example of how automation can bring theory into practice.' Parth Joshi, CPO at AutoStore, said. 'Through Element Logic's integration, students now have real-time access to cutting-edge robotics and software that orchestrate order fulfillment with speed and precision. 'It's vital that tomorrow's engineers are exposed to world-class technologies like AutoStore early in their careers — this not only strengthens their practical skills,but also inspires them to explore how intelligent automation and data-driven systems can transform the way we design and operate future technologies,' Joshi added. 'This installation not only supports Purdue's forward-thinking approach to education but also reflects our commitment to empowering the next generation to move things forward.' This hands-on access allows students to experience how cutting-edge automation technologies integrate into modern manufacturing environments—offering insights into efficiency, scalability, and sustainable operations. 'This system and the Smart Lab enable future engineers to experiment and develop skills they'll use on day one in the industry,' Humphry added. 'Element Logic couldn't ask for a better partner than Purdue University in preparing future generations to reimagine how goods move through tomorrow's supply chains.' The AutoStore solution from Element Logic will operate as a fully functional component of the Smart Factory's logistics and materials management workflow. About Purdue University Purdue University is a public research university leading with excellence at scale. Ranked among top 10 public universities in the United States, Purdue discovers, disseminates and deploys knowledge with a quality and at a scale second to none. More than 107,000 students study at Purdue across multiple campuses, locations and modalities, including more than 58,000 at the main campus in West Lafayette and Indianapolis. Committed to affordability and accessibility, Purdue's main campus has frozen tuition 14 years in a row. About Element Logic Element Logic is a technology company that optimizes warehouses for customers to gain a competitive edge. The company was founded in 1985 and is headquartered in Norway. It operates worldwide and is the world's first and largest AutoStore partner. Element Logic offers its customers automated robotic solutions, software, and consulting services. Gina Rotermund Element Logic email us here Visit us on social media: LinkedIn Instagram Facebook YouTube Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Geeky Gadgets
4 days ago
- Business
- Geeky Gadgets
Master Token Management: Save Big While Using Claude Code
Have you ever been surprised by how quickly costs can spiral when working with large language models like Claude Code? While these tools are undeniably powerful for coding, problem-solving, and brainstorming, their utility comes with a hidden challenge: token consumption. Every word, character, or snippet of text processed by the model counts as a token, and these tokens directly influence both performance and pricing. If you've ever wondered why your seemingly simple task suddenly feels expensive—or why the model's responses seem to degrade during long conversations—you're not alone. Managing token usage isn't just a technical skill; it's an essential strategy for anyone looking to make the most of these innovative tools. In this instructional feature, Greg provide more insights into practical strategies for optimizing token usage in Claude Code, helping you strike the perfect balance between cost and performance. You'll uncover why stateless conversations can quickly inflate token counts, how to avoid context limitations, and when to switch between advanced and lighter models for maximum efficiency. Whether you're a developer juggling complex projects or a curious user exploring the model's capabilities, this guide will equip you with actionable insights to streamline your workflow. After all, mastering token management isn't just about saving money—it's about unlocking the full potential of AI without unnecessary trade-offs. Understanding Token Costs TL;DR Key Takeaways : Large language models (LLMs) like Claude Code calculate costs based on token usage, making effective token management crucial for reducing expenses and maintaining performance. Stateless conversations in LLMs require the entire conversation history to be included with each interaction, leading to rapid token accumulation and increased costs. Strategies to optimize token usage include starting new chats for separate tasks, summarizing long conversations, and selecting the appropriate model for specific tasks to balance cost and performance. Extended conversations can degrade model performance as the context limit is approached, resulting in less accurate responses and escalating costs. Practical workflow recommendations include using advanced models for complex tasks, switching to lighter models for simpler tasks, and regularly monitoring and resetting conversations to manage token consumption effectively. LLMs calculate costs based on the number of tokens processed during both input and output. Tokens can represent words, characters, or even parts of words, depending on the model's architecture. The more advanced the model, the higher the cost per token due to its enhanced capabilities for complex reasoning. For example: A simple query might consume only a few dozen tokens. A detailed conversation or code generation task could involve thousands of tokens. As token usage increases, so does the expense. This makes it essential to monitor and manage token consumption, particularly for tasks requiring extensive interactions. By understanding how token costs accumulate, you can make informed decisions to optimize usage and control expenses. Challenges of Token Usage in Stateless Conversations One of the fundamental challenges of working with LLMs is their stateless nature. These models do not retain memory between interactions, meaning the entire conversation history must be included with each new message. While this ensures continuity, it also leads to rapid token accumulation during extended conversations. Key challenges include: Increased Costs: Longer conversations consume more tokens, significantly driving up expenses. Longer conversations consume more tokens, significantly driving up expenses. Context Limitations: Exceeding the model's context limit can degrade performance, resulting in less accurate or relevant responses. Understanding these challenges is the first step toward effective token management. By addressing these issues, you can ensure smoother interactions and better performance from the model. How to Optimize Token Usage in Claude Code Uncover more insights about Claude Code in previous articles we have written. Strategies to Optimize Token Usage To mitigate token-related challenges, you can adopt several strategies to manage usage effectively. These approaches help balance cost and performance while maintaining the quality of outputs. Start New Chats for Separate Tasks: Avoid using the same chat thread for unrelated tasks. Each additional message adds to the token count, even if it's irrelevant to the current topic. Resetting the chat history with commands like /clear can free up context and reduce unnecessary token consumption. Avoid using the same chat thread for unrelated tasks. Each additional message adds to the token count, even if it's irrelevant to the current topic. Resetting the chat history with commands like /clear can free up context and reduce unnecessary token consumption. Summarize Long Conversations: When a conversation approaches 50% of the model's context limit, summarizing the discussion can help maintain focus and efficiency. Commands like /compact allow you to condense the conversation history, retaining only the most relevant information. When a conversation approaches 50% of the model's context limit, summarizing the discussion can help maintain focus and efficiency. Commands like /compact allow you to condense the conversation history, retaining only the most relevant information. Choose the Right Model: Not all tasks require the most advanced and expensive models. For high-level reasoning, a powerful model may be necessary, but simpler tasks can often be handled by lighter, less costly models. Switching between models using commands like /mod can help balance cost and performance. By implementing these strategies, you can significantly reduce token consumption while maintaining the effectiveness of your interactions with Claude Code. Why Long Conversations Can Be Problematic Extended conversations not only increase token usage but also introduce additional risks. As the context limit is approached, the model's ability to generate accurate and relevant responses diminishes. This can lead to several issues: Escalating Costs: Prolonged interactions result in higher token consumption, driving up expenses. Prolonged interactions result in higher token consumption, driving up expenses. Decreased Performance: Exceeding the context limit can cause the model to lose track of important details, reducing the quality of its outputs. While techniques like context caching and token compression can help mitigate these issues, they are not foolproof. Proactively managing conversation length and token usage remains the most effective solution to maintain performance and control costs. Practical Workflow Recommendations To optimize your workflow and minimize token-related expenses, consider adopting the following best practices. These recommendations ensure that you can use the full potential of Claude Code while keeping costs manageable. Start with a Powerful Model: Use an advanced model for tasks requiring complex reasoning, brainstorming, or initial planning. This ensures high-quality outputs for critical stages of your work. Use an advanced model for tasks requiring complex reasoning, brainstorming, or initial planning. This ensures high-quality outputs for critical stages of your work. Switch to a Lighter Model: Transition to a less costly model for execution, refinement, or repetitive tasks. This approach helps save on expenses without sacrificing quality for simpler tasks. Transition to a less costly model for execution, refinement, or repetitive tasks. This approach helps save on expenses without sacrificing quality for simpler tasks. Monitor and Reset Conversations: Regularly track token usage and reset or summarize conversations as needed. This prevents unnecessary accumulation and ensures the model remains efficient and focused. By following these strategies, you can maximize the benefits of LLMs like Claude Code while keeping token consumption under control. Effective token management allows you to harness these advanced tools for coding, problem-solving, and other AI-powered activities without compromising performance or efficiency. Media Credit: Greg Latest Geeky Gadgets Deals Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy
NZ Herald
26-05-2025
- Business
- NZ Herald
Whanganui's NZ International Pilot Academy being investigated by CAA after safety complaints
'This action has been taken under Section 314 of the Civil Aviation Act 2023, due to concerns around maintenance practises and the record-keeping processes,' it said. 'The prohibition applies to all flight operations and was deemed necessary to ensure the safety of students, staff, and the public. 'Ground-based training and instructional activities remain unaffected and will continue as scheduled.' Glanville told the Chronicle that the CAA chose to investigate following concerns raised through 'anonymous reporting'. 'There is a general prohibition of using our aircraft while they [CAA] determine if there's a safety aspect to it or not. 'We cannot use our current aircraft fleet, but the Part 141 licence we have is not suspended. 'We are not shut down. They are just investigating whether there is a wider problem with the maintenance of our aircraft.' The academy is funded by the Whanganui District Council and operates under the council's financial arm - Whanganui District Holdings. In 2023, the NZICPA signed a deal with Indian airline IndiGo to train 200 new cadets up to December 2026. Ten second-hand planes, costing $2.78 million in total, were added to the fleet last year. Whanganui Mayor Andrew Tripe said he had a meeting scheduled with the NZICPA board and chief executive for this afternoon. 'We are just trying to gather as much information as we can,' he said. 'The wellbeing and safety of students is a priority.' The academy started operating in 2017, with the council as a 100% shareholder. 'It's got its own board and management team, but, as councillors, we are expecting meticulous attention to safety from all our CCOs,' Tripe said. A report from Holdings chair Carolyn van Leuven to the council's council-controlled organisations and economic development committee in April said a twin-engine DA42 had been bought for the academy. 'NZICPA had previously identified the risk associated with operating only one twin-engine trainer, which was realised when our only DA42 was out of action for five weeks during scheduled maintenance and the shortage in New Zealand of rental DA42's,' it said. At that meeting, NZICPA chairman Matthew Doyle said there were 141 students at its accommodation facilities, with 26 instructors. The council is building a $3.6m partial parallel taxiway from the academy's hangar to the main runway to mitigate safety issues such as backtracking (back taxiing). Glanville's letter said no charges would be made to cadets for accommodation or food during the investigation, starting from May 23 'to the date that a cadet resumes flight training'. 'We are also permitted to lease aircraft not included in the prohibition notice,' it said. 'These will operate under the maintenance control of their respective owners until NZICPA's system is rectified and approved.' Mike Tweed is a multimedia journalist at the Whanganui Chronicle
Yahoo
18-02-2025
- Climate
- Yahoo
Northwest Arkansas school districts plan for winter weather
NORTHWEST ARKANSAS (KNWA/KFTA) — Some schools in Northwest Arkansas are taking a new approach this year to the traditional understanding of snow days, giving districts a certain amount of buffer days to use in the school year. Rogers Public Schools superintendent Jeff Perry said even before getting to making a decision about what happens during potential winter weather storms, the district watches a variety of weather forecasts to make these decisions. 'As we begin to look at those, we begin to determine if they're all saying the same thing. And if they're all saying the same thing, that gives us a little bit more degree of comfort with that particular predication,' said Perry. Perry said trying to make predictions about the weather comes hand in hand with trying to make announcements to families. It's pertinent to get those announcements out as soon as possible because families need time to figure out things like childcare or work schedules, according to Perry. Springdale Public Schools announces 'Student Catch-Up' days ahead of winter weather 'However, there's sometimes where we don't really know for sure if that weather is coming in, we have to do it in the morning and we do apologize about that,' said the Rogers superintendent. In Rogers, Perry said the district has three and a half 'bank days' in their school calendar that can be used for traditional snow days. These 'bank days' allow the district some room to have necessary days off without adding makeup days to the end of the school year. If the Rogers district goes over, Perry said some days would be added from the end of May to the beginning of June, instead of adjusting spring break. Under the Arkansas LEARNS Act, schools' alternative learning days could not count toward instructional days, meaning no new items could be learned remotely like AMI was intended for. Springdale Schools take on a similar approach to Rogers' 'bank days,' allowing students to still talk to teachers to help them get back up to speed on studies with 'Catch Up' days. Arkansas public school students no longer receiving AMI days; how this is impacted by LEARNS Act 'This year, we moved our academic calendar to be counted by minutes, and so when we tallied up all of the minutes, we ended up having a bank of five days that we could dedicate as student 'Catch Up' days in the event of inclement weather,' said Rogers Schools Public information officer Trent Jones. He said that these days are optional for students to be supported digitally if they choose to, but there would be no new homework. 'So, if we don't use them, the last day of school is the last day of school. If we do use them, the last day of school is the last day of school,' said Jones, 'Now, if we end up having six inclement weather days, then we start adding to the end.' 'Catch Up' days, however, are different than the district 'Life Safety' days which implies there is more than just a travel concern. Jones explained that when a tornado hit George Elementary School, the district shut down and implemented those 'Life Safety' days. 'We want these children to have ownership of their education, knowing that our faculty staff are always there to support them, even through inclement weather days,' said Jones. Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
