Collaborating Authors


Data Science Hiring Process at Honeywell


Honeywell's global businesses have a strong legacy in India, built over the last eight decades. It delivers industry-specific solutions like aerospace products and services, control technologies for buildings and performance materials. Currently, it employs close to 13,000 people across different locations, including Bengaluru, Chennai, Gurugram, Dehradun, Hyderabad, Madurai, and Pune. At the centre of everything that Honeywell does, lies its data science team, which adds value by transforming products and services. They work on a wide array of key functional areas, including product development, advanced image, speech and audio recognition, text and video analytics, regression analytics and face detection.

IBM launches client innovation centre in Mysuru - Express Computer


The Karnataka Digital Economy Mission (KDEM), as part of its Spoke-shore Strategy' to attract companies to set up operations in cities'Beyond Bengaluru', fuelled the launch of IBM's Client Innovation Centre (CIC) in Mysuru today. The CIC initiative aims at supporting the rapid, high-tech driven economic growth in tier 2 and 3 regions while providing comprehensive hybrid cloud and AI technology consulting capabilities. The CIC specializes in design, software engineering and analytics. Congratulating KDEM and IBM on the launch of their Client Innovation Centre, Dr. Ashwath Narayana, Minister for Higher Education; IT & BT, Science & Technology; Skill Development, Entrepreneurship & Livelihood said, "I applaud KDEM for making the Spoke-shore strategy a reality in India and wholeheartedly welcome IBM's CIC to Mysuru. It is encouraging to see that the industry is recognising places such as Mysuru, thereby echoing our vision of Beyond Bengaluru. We are confident that this partnership will propel Karnataka to become a frontrunner for digital services and technologies world over. B.V. Naidu, Chairman, Karnataka Digital Economy Mission said, "The launch of the Client Innovation Centre at Mysuru resonates with KDEM's Spoke-shore initiative of attracting at least 100 GCCs by 2025.

This Cybersecurity Startup Simplifies Endpoint Security With ML Threat Detection. Read To Know How


Today, in the COVID-19 World, working from home has become an accepted corporate culture, giving rise to security challenges across industries. Enterprises are waking up to the importance of cybersecurity, with rising demand for cybersecurity services among businesses. With such a massive need for cybersecurity, many startups are working towards bringing artificial intelligence into the field and securing companies with their endpoint security. Sequretek is one such company that is known among the circles to use unconventional ways to detect security breaches and using AI to spot an attack from miles away and stop it before it can cause any real damage. Started in 2013 by Pankit Desai and Anand Naik, Sequretek is built on the foundation of'simplifying security' -- less complexity and driving down the cost of ownership.

Are You Looking for AI Jobs to Apply this Weekend? Then Here You Go


With advancing, technology trends such as artificial intelligence and machine learning, many new AI jobs have been taking birth every new day. A career in AI and ML is indeed a very good opportunity to explore since this is a field that will be in demand for a few decades. Here are the currency AI jobs for this week to apply.

Samsung Sets up a World-class Artificial Intelligence, Machine Learning & Data Engineering Lab jointly with KLE Tech University


Samsung has set up a world-class artificial intelligence, machine learning and data engineering lab at the KLE Technological University in Karnataka's Hubballi, providing young Millennials and Gen Z students an exciting opportunity to research in emerging cutting-edge tech areas and help find solutions to real world problems. This is the first of its kind initiative for Samsung in Karnataka. At the'Samsung Student Ecosystem for Engineered Data (SEED) Lab', students and faculty members at KLE Tech will get to work on joint research and development projects along with senior engineers at Samsung R&D Institute, Bangalore (SRI-B) who work in the domains of mobile camera tech, speech and text recognition, and machine learning. "India is a repository of young Millennials and Gen Z talent. At Samsung, we envision this lab to become a hub of young minds igniting India's innovation ecosystem, build capabilities among the students to make them industry ready, and also promote industry-academia collaboration. This will further Samsung's commitment to its vision of #PoweringDigitalIndia," said Dipesh Shah, Managing Director, Samsung R&D Institute, Bangalore.

Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India


To combat the recent coronavirus disease 2019 (COVID-19), academician and clinician are in search of new approaches to predict the COVID-19 outbreak dynamic trends that may slow down or stop the pandemic. But these epidemiological models based on mathematical assumptions may not predict the real pandemic situation. Recently the new machine learning approaches are being used to understand the dynamic trend of COVID-19 spread. In this paper, we designed the recurrent and convolutional neural network models: vanilla LSTM, stacked LSTM, ED-LSTM, Bi-LSTM, CNN, and hybrid CNN LSTM model to capture the complex trend of COVID-19 outbreak and perform the forecasting of COVID-19 daily confirmed cases of 7, 14, 21 days for India and its four most affected states (Maharashtra, Kerala, Karnataka, and Tamil Nadu). The root mean square error (RMSE) and mean absolute percentage error (MAPE) evaluation metric are computed on the testing data to demonstrate the relative performance of these models. The results show that the stacked LSTM and hybrid CNN LSTM models perform best relative to other models.

Peekay Groupto Set Up 3D Printing Technology Facility at Bengaluru Airport City


Bengaluru, August 27, 2021: Peekay Group has signed an agreement with Bengaluru Airport City Limited (BACL)to develop a 3D Printing technology facility at the Airport City that is being developed in the BLR Airport premises. This facility will house a production centre as well as an experience zone to learn 3D printing & ideate for innovative solutions. In addition, the facility will be used to train technology experts, up-grade skills, increase awareness of various 3D printing applications. This will play a role in engaging youngsters in this new era of technology driven manufacturing. The global 3D printing market size is estimated to reach US$ 62.79 billion by 2028 and is expected to witness a CAGR of 21.0% from 2021 to 2028.

Putting the art in artificial intelligence


Take for instance, Bengaluru-based artist Raghava K K, who is in the US at the moment, collaborating with painting robots, scientists and technologists to create an artwork, six years in the making. Just this week, unveiled India's first artificial intelligence non-fungible token (NFT) art exhibition'Intertwined Intelligences', which explores the relationship between artificial intelligence (AI) and human creativity. The show, which features international AI artists, is curated by Bengaluru-based Harshit Agrawal who shot to fame with his work'The Anatomy of Dr Algorithm', where he fed images of surgeries into an algorithm and used AI to create Rembrandt-inspired art based on the images of everything from organs to fibroids. What AI does is that it uses algorithms to predict behaviour through patterns. So the more patterns give a machine for a painting, the greater precision with which the requests are processed to get a final outcome.

Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Artificial Intelligence

Federated Learning (FL) has evolved as a promising technique to handle distributed machine learning across edge devices. A single neural network (NN) that optimises a global objective is generally learned in most work in FL, which could be suboptimal for edge devices. Although works finding a NN personalised for edge device specific tasks exist, they lack generalisation and/or convergence guarantees. In this paper, a novel communication efficient FL algorithm for personalised learning in a wireless setting with guarantees is presented. The algorithm relies on finding a "better" empirical estimate of losses at each device, using a weighted average of the losses across different devices. It is devised from a Probably Approximately Correct (PAC) bound on the true loss in terms of the proposed empirical loss and is bounded by (i) the Rademacher complexity, (ii) the discrepancy, (iii) and a penalty term. Using a signed gradient feedback to find a personalised NN at each device, it is also proven to converge in a Rayleigh { }. Index Terms Federated Learning, Multi-Task-Learning, SignSGD, Deep Learning, PAC bound, Distributed ML. The authors are with the Department of electrical engineering at IIT Dharwad, Dharwad, Karnataka. The wide spread adoption of smartphones and internet services with considerable computing capabilities has enabled machine learning (ML) algorithms to work in a distributed fashion (see [1]).

Affine's Accelerator Program "Deep Camp" goes live!


Bengaluru 3rd August 2021:Affine, a leading AI consulting firm, goes live with its Accelerator Program, "Deep Camp." DeepCamp is the first global accelerator launched by a pure-play analytics firm. The program will provide hands-on assistance to start-ups to improve their products and solutions, mentoring start-ups in the emerging and exciting areas of Industry4.0, Start-ups with interesting ideas can apply for the DeepCampprogram starting4thAug. Application forms for the same are available on the Affine website.