Abstract-- Accurate segmentation of thin structures is critical for microsurgical scene understanding but remains challenging due to resolution loss, low contrast, and class imbalance. We propose Microsurgery Instrument Segmentation for Robotic Assistance(MISRA), a segmentation framework that augments RGB input with luminance channels, integrates skip attention to preserve elongated features, and employs an Iterative Feedback Module(IFM) for continuity restoration across multiple passes. Microsurgery(MS) is a surgical technique that manipulates blood vessels as small as 1-2 mm in diameter and plays a critical role in lymphedema treatment and soft tissue reconstruction [1], [2], [3]. While MS enables highly precise procedures with improved patient outcomes, it also demands exceptional dexterity and accuracy, as even minor errors can lead to complications [4]. Thus, robot-assisted surgery has emerged to improve stability and accuracy in microsurgery [5]. However, effective robotic assistance relies on accurate real-time segmentation of critical structures such as microvessels, needles, and wires [6]. Therefore, it is crucial to develop advanced segmentation methods tailored to the unique challenges of MS environments for enhanced robotic assistance in MS.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. ContractPodAI, an AI-powered contract management solution provider, today announced that it raised $115 million in a series C investment led by SoftBank Vision Fund 2 at "five times" its valuation compared with July 2019. The round, which saw participation from Eagle Proprietary Investments, will be put toward product growth and expanding ContractPodAI's presence internationally, leveraging SoftBank's Asia-Pacific network. Almost every business function relies on legal involvement or expertise. Despite its importance, legal has been one of the last functions to adopt digitization.

After a tumultuous 2019 that saw the implosion of its WeWork public offering, SoftBank's Vision Fund expects up to seven companies that it has stakes in, to go public by the end of next year, its chief executive said. In tandem, it will boost its investment in artificial intelligence and technology companies that helped propel it back into the black amid the Covid-19 pandemic. "AI is going to disrupt and be a bigger disruptor than the internet, which took 20 years to disrupt a lot of industries," SoftBank Investment Advisers chief executive Rajeev Misra said in an interview with The National. "The acceleration of disruption went up dramatically due to Covid. The market share gain achieved by many of our companies that would have taken three years to happen, happened in the last nine months. Many of our companies have huge tail winds."

Contrary to common fears around how robots will impact jobs, leaders across the globe are reporting increased adoption of artificial intelligence (AI) and robots at work and many are welcoming it with love and optimism. According to the second annual "AI at Work" study of 8,370 employees, managers and HR leaders across 10 countries, including the UAE, conducted by Oracle and research firm Future Workplace, 64% of the people trust a robot more than their managers and half have turned to a robot instead of their manager for advice. Rahul Misra, vice-president for applications at Oracle Lower Gulf, told TechRadar Middle East that 82% of people think robots can do things better than their managers. In the UAE, respondents said robots are better at maintaining work schedules (42%), problem-solving (34%) and providing unbiased information (32%) while the top three tasks where managers are better than robots were understanding feelings (46%), coaching them (32%) and evaluating team performance (25%). "UAE is building a future based on tech innovation. Anything where the managers' role does not have an emotional quotient, people believe they can work with a fact-based model," he said.

Executives and others are increasingly using data when assessing business policies, comparing marketing strategies, and making other decisions. In particular, they use machine learning to analyze data--and the results to make decisions. But how much can an executive trust a recommendation generated by machine learning? Recognizing that uncertainty is involved, and could produce expensive mistakes, Chicago Booth's Max Farrell, Tengyuan Liang, and Sanjog Misra have sought to quantify this uncertainty so that decision makers can take it into account. In the past few years, machine-learning methods have come to dominate data analysis in academia and industry.

Offline retail is here to stay," says founder of in-store experiential service. Retail tech startup RealTell is launching its flagship product "Realtell Retail" for fashion and lifestyle brands. "Offline retail is here to stay," said Ashish Mittal, chief mentor at Turning Ideas Ventures (which incubated RealTell) "and this startup helps retailers, primarily the fashion and apparel brands, to drive footfall and increase basket size by gamifying the offline shopping experience." The company was started by two young college entrepreneurs from Shri Ram College of Commerce (SRCC) Delhi University, Sanyam Gupta and Shivendra Misra. In a statement, the company said its kiosk solutions will help shoppers to discover new combo prices for the fashion and other retails products every day, based on artificial intelligence and machine learning, driving footfall to stores and turning the buying experience into a game. Press materials released by the brand observed that while online retailers have detailed information about shoppers – because every click can be tracked – offline retail stores lose out on valuable shopper insights due to the lack of proper infrastructure and technology. With its patented technology, RealTell Retail gamifies the shopping experience by letting shoppers discover a dynamic price for products of their choice. "Imagine walking into a store, scanning your items at a kiosk and saving money at each visit," said Misra. "What's exciting is that the prices and the offers change every day.

KOLKATA: The Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI) at IIT Madras is collaborating with the Tamil Nadu e-Governance Agency for enhancing data-driven governance in the state. This will be carried out by working closely with various official branches and entities within the government of Tamil Nadu. These collaborations are expected to contribute towards various aspects of governance, including education, healthcare, and agriculture. Santhosh K. Misra I.A.S, CEO, Tamil Nadu e-Governance Agency, and professor Ravindra Gettu, dean (industrial consultancy and sponsored research), IIT Madras, signed the MoU on behalf of their respective institutions. "Societal impact through AI is a central objective of RBC-DSAI at IIT Madras. We believe that by teaming up with the TNeGA we can contribute towards multiple pillars of the government, covering areas such as education, health-care, and agriculture," said Dr. Nandan Sudarsanam, assistant professor, Department of Management Studies, IIT Madras, in a release.

The use of knowledge discovery on the Internet of Things (IoT) and its allied domains is undeniably one of the most indispensable ones, which results in optimized placement architectures, efficient routing protocols, device energy savings, and enhanced security measures for the implementation. The absence of knowledge discovery in IoT results in just an implementation of large‐scale sensor networks, which generates a huge amount of data, and which needs, an often under‐optimized, processing for actionable outputs. In this survey, we explore various domains of IoT for which knowledge discovery is inseparable from the application, and show how it benefits the overall implementation of the IoT architecture.

It's hard to believe there's anything to look forward to in 2018, but as the ecommerce wars heat up, there's at least plenty to pay attention to. During these pivotal moments, artificial intelligence and augmented reality continued to shake up how people--and the ecommerce industry--use their phones and the experiences they seek. Most of the trends coming in 2018 are pointing towards making the consumer happier than ever. You probably think this section is about you, don't you? Well it is, as another trend expected to pick up in 2018 is personalization, some of it driven through AI and mobile.

Arundo notes that to be successful, IIoT applications need to strike a balance between the batch processing remotely and real-time analytics. As organizations start delving into the nuances of Industrial Internet of Things (IIoT) applications many of them are finding a need to strike a balance between real-time analytics at the edge or on a gateway and more traditional batch-processing in the data center. To address that Arundo Analytics developed a federated approach to IIoT analytics spanning the IoT edge to the cloud. Now with the Fall 2017 release of the company's namesake software, a set of application programming interfaces (APIs) is being exposed to make it simpler to plug new and existing applications into the Arundo Data Fabric that runs as a cloud service. At the same time, Arundo Analytics has also enhanced the Arundo Composer software it provides on a desktop to make it simpler to create models employing multiple machine learning algorithms in addition to making it simpler to install Arundo Edge Agent software on devices running Windows, Linux or Mac OS operating systems.