While solving mathematical systems is accomplished by analytical software, formulating a problem as a set of mathematical operations has been typically done manually by domain experts. Recent machine learning methods have shown promise in converting textual problem descriptions to corresponding mathematical formulations. This paper presents an approach that converts linear programming word problems into mathematical formulations. We leverage the named entities in the input and augment the input to highlight these entities. Our approach achieves the highest accuracy among all submissions to the NL4Opt Competition, securing first place in the generation track.

This week is DSC's final issue of DSC Weekly in 2022. These articles are chosen for their high-quality, informative nature and attention to detail. Alan Morrison posts articles with critical thought placed on emerging technology and its implications for businesses. Articles like "Divergent thinking and true AI innovation" show that technological advancements are not enough on their own; businesses need to change and adapt these new tools at their disposal in order to explore their full potential. Vincent Granville is a name that comes up often, and for good reason.

At the center of this reckoning is voice actress Bev Standing, who is suing TikTok after alleging the company used her voice for its text-to-speech feature without compensation or consent. This is not the first case like this; voice actress Susan Bennett discovered that audio she recorded for another company was repurposed to be the voice of Siri after Apple launched the feature in 2011. She was paid for the initial recording session but not for being Siri. Rallying behind Standing, voice actors donated to a GoFundMe that has raised nearly $7,000 towards her legal expenses and posted TikTok videos under the #StandingWithBev hashtag warning users about the feature.

Convolutional neural networks (CNNs) have become commonplace in addressing major challenges in computer vision. Researchers are not only coming up with new CNN architectures but are also researching different techniques to improve the performance of existing architectures. However, there is a tendency to over-emphasize performance improvement while neglecting certain important variables such as simplicity, versatility, the fairness of comparisons, and energy efficiency. Overlooking these variables in architectural design and evaluation has led to research bias and a significantly negative environmental impact. Furthermore, this can undermine the positive impact of research in using deep learning models to tackle climate change. Here, we perform an extensive and fair empirical study of a number of proposed techniques to gauge the utility of each technique for segmentation and classification. Our findings restate the importance of favoring simplicity over complexity in model design (Occam's Razor). Furthermore, our results indicate that simple standardized practices can lead to a significant reduction in environmental impact with little drop in performance. We highlight that there is a need to rethink the design and evaluation of CNNs to alleviate the issue of research bias and carbon emissions.

As political parties gear up for the 2019 general elections, Analytics India Magazine walks down the memory lane and takes stock of the times when leaders were quite gracious in praising and educating the mass about the importance of emerging technologies like artificial intelligence and machine learning. After his tumultuous election win, the Janata Dal (Secular) supremo, HD Kumaraswamy has stepped into the shoes of his predecessor with ease in Karnataka. In fact, Kumaraswamy has been quite vocal about the role of AI in shaping the future of the state's economy. On turning the state capital into a global innovation hub: With the government playing a crucial role in bringing various stakeholders from across the country under one roof, state-sponsored Bengaluru Tech Summit has played a vital role in ushering innovation and impact. While addressing a press meet the CM said, "Bengaluru has emerged as one of the global innovation hubs in the league of Tokyo in Japan, Silicon Valley in the US and Tel Aviv in Israel. The summit will provide a platform for knowledge sharing on emerging technologies like Artificial Intelligence, Robotics and Blockchain," Kumaraswamy said.