"The most beautiful part of the whole thing is when we started the project we didn't really know each other, but slowly we've grown up together." It's a remark that you might expect to hear in a scene from one of your favourite movies, or perhaps in a confession from a colleague on a team-building day. But it's actually how AI tech startup Aiir Innovation's CEO Bart Vredebregt explains how five AI students and an AI professor came together to launch a business that could revolutionise the maintenance industry. It all started in 2015, when Dutch airline KLM invited students on the University of Amsterdam AI master's degree programme to work on a project to automate the inspection of their jet engines. When done manually, this inspection requires an engineer to put a camera called a borescope into the engine after removing the aircraft's wing.

Spreadsheets were arguably the killer app for personal computers, and accounting software is commonly used. However, that hasn't changed day to day operations of businesses or the lives of individuals. We've simply shifted from written ledgers to digital ones, and accounting professionals review reports that haven't changed much beyond being computer generated. However, Big Data, AI and other technologies are poised to radically alter the financial world. Let's look at how Big Data and artificial intelligence are set to transform accounting and finance.

The health industry in the UK is under immense pressure, with staff shortages and funding restraints leading to unsustainable heavy workloads and low retention rates. It is clear that digital transformation is key to supporting healthcare professionals by relieving the administrative burden, reducing unpaid staff overtime and improving employee job satisfaction. The early August pledge of £250m for NHS artificial intelligence is one step towards realising this metamorphosis that has been detailed by Health and Social Care Secretary Matt Hancock's Future of Healthcare document and the NHS Long Term Plan. Artificial intelligence and automation already play a role in health. A highly publicised example of this is Ai-assisted robotic surgery to perform complex procedures.

Artelligence Forum, scheduled on 4-5 September 2019 in Dubai, UAE will call for a paradigm shift in the way artificial intelligence is perceived and its impact on how a particular ecosystem works for every sector. The summit will not only focus on knowledge sharing but will give importance to live demos, engaging discussions and answering questions that are critical to the advancement of machine learning.

We see this daily -- smartphones recognizing faces in the camera; the ability to search particular photos with Google Images; scanning text from barcodes or book. All of this is possible thanks to the convolutional neural network (CNN), a specific type of neural network also known as strong convnet /strong . Modern deep-learning frameworks like Tensorflow and PyTorch make it easy to teach machines about images, however, there are still questions: How does data pass through artificial layers of a neural network? How can a computer learn from it? One way to better explain a convolutional neural network is to use PyTorch.

Evaluation was performed on a held-out test set using the standard protocol outlined by Everingham et al. (39). The precision/recall curve was computed from a method's ranked output. Recall was defined as the proportion of all positive examples ranked above a given rank, while precision is the proportion of all examples above that rank which are from the positive class. For the purpose of our task, high recall was more important than high precision (i.e., false positives are less dangerous than false negatives) to ensure no chimpanzee face detections were missed. Some false positives, such as the recognition of chimpanzee behinds as faces (e.g., fig.

"Education is the passport to the future, for tomorrow belongs to those who prepare for it today." In the 2018-19 Union Budget, Niti Aayog was mandated to establish a National Program on AI. This highlighted the urgency and importance the Indian Government is placing on the need to strategise the approach on AI and recognise its potential in transforming economies and providing social benefits. A study by EY and NASSCOM – Future of Jobs in India: A 2022 Perspective 2017 found that by 2022, 46% of the workforce will be engaged in entirely new jobs that do not exist today, or will be deployed in jobs requiring radically different skill-sets. These potential transformation leaders are to be created today.

Data is the lifeblood of any business. Today, big data has applications in just about every industry -- retail, healthcare,financial services, government, agriculture, customer service among others. Any organization that can assimilate data to answer nagging questions about their operations can benefit from big data. Those who work to understand their customers' business and their problems will be able to proactively identify big data solutions appropriate to their needs, and thus gain competitive advantage over their competitors. Job demand for people with big data skill-set is also in the rise especially professional, scientific and technical services; information technology; manufacturing; and finance and insurance; and retail.

New Delhi, Sep 2 Nearly 70 per cent of small farmers -- those cultivating fewer than three acres -- in India often find their crops damaged by unforeseen weather and pests. To bridge this knowledge gap, Pune-based agritech startup AgroStar has a multi-lingual mobile app on Google Cloud Platform that is helping boost crop yields and encourage sustainable practices for small farmers in the country. Launched as an on-premise, e-commerce platform selling farm tools in 2008, the firm turned to Google Cloud Platform (GCP) to expand its offerings. The firm now uses Cloud-based analytics and is deploying machine learning (ML) models to provide timely advice in five languages -- from seed optimization, crop rotation and soil nutrition to pest control and commodity price forecasting to small farmers. "Moving to the Google Cloud Platform (GCP) reduced our time to deployment including migrations. Now, we are able to do all the deployment during the day on Kubernetes clusters provided by Google," Pritesh Gudge, AgroStar, software engineer, told .

He holds a Masters Degree in Media Arts & Sciences from Massachusetts Institute of Technology, (MIT) Media Lab at Cambridge, Massachusetts. He holds several US patents and international publications in the areas of AI, Computational Imaging, Signal processing, Cryptography. He also represents India on the International Standards Organization (ISO) committee for standards setting in Artificial Intelligence. He has also been an invited reviewer at international journal and conferences like ACM Siggraph, ACM Siggraph Asia, IEEE CVPR, ECCV, ICCP etc and has also been a TEDx Speaker. He has led business units in diverse areas of Mobile Apps, Mobile Network Performance and Security, Solar Energy, Internet of Things, Electric Vehicle Car Charging & Battery Storage.