Core Insights - ACG Packaging Materials' Shirwal site has been recognized by the World Economic Forum's Global Lighthouse Network for its advanced digital transformation [1][3] - This is ACG's second facility to receive such recognition, following the Pithampur capsules plant in 2023 [1] - The transformation at the Shirwal plant involved technologies such as generative AI, machine learning, deep learning, IIoT, and digital twin technologies [1] Performance Outcomes - The digital transformation led to a 40% reduction in lead times [2] - There was a 71% decrease in defects reported [2] - Energy usage was reduced by 31% [2] - Full on-time deliveries improved by 34% [2] Industry Context - The Global Lighthouse Network, initiated by the World Economic Forum in collaboration with McKinsey & Company, recognizes manufacturing sites that excel in productivity, supply chain resilience, sustainability, talent development, and customer focus [3] - Kiva Allgood from the World Economic Forum emphasized that modern competitiveness is defined by the ability to adapt and respond quickly, highlighting the importance of intelligence-led operations [4] Company Commitment - ACG operates in 138 countries across six continents, showcasing its global reach [5] - The CEO of ACG Packaging Materials, S R Shivshankar, stated that the recognition reflects the commitment of the Shirwal team to integrate advanced digital technologies into manufacturing operations, enhancing quality, productivity, and sustainability [5]

Gemini 3 combines multimodal understanding and coding to help you learn anything. Using Google AI Studio, see how Gemini 3 analyzes a complex research paper on materials science and deep learning to create code for a beautiful, interactive guide with 3D visualizations that make the concepts easy to explore. What will Gemini create if you upload a different paper? Find out more about Gemini 3: https://deepmind.google/models/gemini/ ___ Prompt: I want to learn about ""Scaling deep learning for materials disco ...

Core Insights - Amazon plans to close all 19 of its grocery stores in Britain due to the inability of checkout-free technology to compete with the rising demand for online delivery services [1][2] - The decision follows a thorough evaluation of business operations and highlights the substantial growth opportunities in online delivery [2][4] - Amazon will convert five of the stores into Whole Foods Market locations and launch a same-day fresh food delivery service next year [3][5] Group 1: Business Operations - The closure will affect all 19 Amazon Fresh stores, which were opened less than five years ago [1] - The company’s checkout-free technology, which allows customers to shop without traditional registers, has not resonated well with post-pandemic shoppers [4] Group 2: Strategic Shifts - Amazon will shut down 14 of the Fresh stores and repurpose the remaining five into Whole Foods Market shops, indicating a strategic shift towards its established organic grocery brand [3] - The company aims to enhance its online delivery capabilities by launching a same-day fresh product delivery service next year, reflecting a focus on adapting to consumer preferences [2][5]

Personal Growth & Development - The speaker reflects on a past tendency to stay within a "comfort zone," comparing it to a turtle retreating into its shell, hindering exploration and growth [1][2] - The speaker emphasizes the importance of breaking free from limitations and challenging oneself to achieve personal and academic growth [3][12] - The speaker highlights the value of embracing challenges, viewing them as opportunities for learning and improvement [11][14] - The speaker encourages the audience to identify and break free from their own "shells" of fear, doubt, or limiting beliefs [12][13] Overcoming Academic Challenges - The speaker describes the initial difficulties faced when transitioning from textbook knowledge to real-world scientific research [4] - The speaker details the process of learning from research papers, designing experiments, and adapting to real-life conditions [5] - The speaker shares the experience of applying deep learning methods to represent the morphology of chemicals, pushing personal boundaries [6] - The speaker recounts the challenges of writing academic papers and delivering formal presentations, emphasizing the importance of perseverance [7][8] - The speaker highlights the value of feedback from experts, viewing it as an opportunity to refine research and improve scientific rigor [10][11]

Core Insights - PacBio has licensed advanced deep learning-based DNA methylation detection methods from The Chinese University of Hong Kong (CUHK) to enhance its HiFi sequencing capabilities, specifically for detecting 5-hydroxymethylcytosine (5hmC), hemimethylated 5-methylcytosine (5mC), and N6-methyladenine (6mA) [1][2][4] Technology and Innovation - The licensed technology includes the Holistic Kinetic Model 2 (HK2), which utilizes an AI deep learning framework to improve the accuracy of methylation detection, including the ability to call native 5hmC in single molecules, a first for HiFi sequencing [2][4] - HiFi sequencing on Revio and Vega platforms allows for comprehensive genome and epigenome readouts from native DNA without chemical conversion or additional sample preparation, enhancing the efficiency of sequencing workflows [3][6] Market Impact - The integration of HK2 is expected to set a new standard for accuracy in DNA methylation detection, particularly for 5mC and 5hmC, which are crucial for research in cancer and human development [4][7] - Institutions like Children's Mercy Kansas City and GeneDx are already utilizing HiFi sequencing for genomic and epigenomic profiling, indicating a growing adoption of this technology in clinical settings [5] Future Prospects - The new capabilities from HK2 will be delivered to existing customers through software updates, ensuring no additional costs or changes to current sequencing protocols [3][8] - The ability to profile 5hmC is anticipated to open new avenues in liquid biopsy and cancer detection, maintaining DNA integrity and supporting haplotype-resolved analysis [6][8]