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A visit to DMart or Reliance Retail in India on any given day would make one think about Black Friday sales. The limited manpower in stores often falls short to tend to the swarm of shoppers in Indian retail stores. To solve the issue, Scribble Data strives to provide automated and customised solutions for retail businesses to tend to the demand and needs of every customer that walks in through their door. The startup offers retail chains real-time inventory management, identifies customer shopping trends, and provides personalised recommendations. Scribble Data helps businesses build machine learning (ML) applications for making their daily operations hassle free and for creating more market-worthy ML features.
Japan-based technology major Fujitsu has announced its new research centre in India. The research centre located in Bengaluru aims to strengthen focus on research and development (R&D) into artificial intelligence (AI) and machine learning (ML) technologies, as well as quantum software. Fujitsu India, in a statement, said the number of its researchers will reach 50 by fiscal 2024. The Group will expand its research fields into security and other areas. It will also conduct software R&D in collaboration with Fujitsu's global network of research centres in areas including Japan, Europe, and the United States to create software for global distribution, the company said in a statement.
Japan-based Fujitsu has announced a key development in its global innovation strategy with the establishment of a new research centere'Fujitsu Research of India Private Limited' (FRIPL), on April 1, 2022. FRIPL represents the latest addition to Fujitsu's global R&D network and will focus on research and development into artificial intelligence (AI) and machine learning (ML) technologies, as well as quantum software. As one of its first key initiatives, FRIPL will embark on joint research with the Indian Institute of Technology (IIT) Hyderabad (1) and the Indian Institute of Science (IISc), Bengaluru (2) to promote innovation in leading-edge AI technologies. The joint research activities will initially focus on improving the accuracy and resilience of AI and machine learning technology. R&D with the IIT Hyderabad will focus on AI technology to discover causal relationships with higher accuracy, while collaboration with the IISc will center on technology to automatically generate AI through autonomous training in response to various environmental changes.
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.
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.
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.
About the Role As our Senior Data Scientist, you'll be an integral player in the Marketplace Data Science team based in Bengaluru. You'll be heavily involved in ideation, research, and building prototypes, and the folks in the Data Science Platform will bring your models to production. Your efforts will directly influence the stability and scalability of Gojek's Marketplace stream, and thus to company's top and bottom line as a whole. What You Will Do Work with Data Scientists, Machine Learning Engineers, and Business Users to build, deploy, and scale Data Science solutions on match-making, supply, pricing problems in Gojek that touch the company's baseline Use your experience in Data Science, Machine Learning, Software Engineering, distributed systems to develop these systems, and work with the platform team to take the systems to production Work with Business teams to continuously refine and improve the systems to cater to ever-changing Gojek needs Design and develop world class Data Science solutions to enhance the current stack of Marketplace algorithms for supply, demand, pricing What You Will Need At least 6 years of experience as a Data Scientist or Machine Learning Engineer, with experience in Python, Golang/Java, and Unix A Bachelor's Degree in Computer Science, Statistics, Operations Research, or a relevant quantitative field Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience formulating Data Science solutions to business problems Proven ability to recognize business needs and to communicate with multiple stakeholders within the Product Management, Business and Operations teams Experience in taking Data Science models to production Prior academic or industry work experience with forecasting methods like auto-regressive models, Markov models, and Kernel-based methods Prior experience with simulations for modeling the stochastic nature of marketplace supply and demand, and knowledge of the transportation and mobility spaceAbout the Team Our Data Science team consists of over 20 Data Scientists. As Chicken Rice is to the people of Singapore, the Data Science team is to Gojek: providing the nourishment and power to sustain our business from the inside out.
A team of scientists from Bengaluru's Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR) has developed a device that can emulate the cognitive actions of a human brain, and is more efficient than conventional techniques. The new AI technology enhances computational speed and power consumption efficiency. The team fabricated an artificial synaptic network (ASN), resembling the biological neural network, through a simple self-forming method. Scientists said that the device structure is formed by itself while heating. While aiming to develop a synaptic device for neuromorphic applications, the team also explored a material system that mimicked neuronal bodies and axonal network connectivity, similar to that in the biological system.
Bengaluru: Amazon India on Sunday announced the launch of ML Summer School which will provide an integrated learning experience for students to gain applied Machine Learning (ML) skills. A batch of students from select tech campuses in India will be presented with the opportunity to engage through virtual classroom tutorials followed by interactive Q&A sessions with scientists at Amazon. For students with prior exposure to certain areas of ML, the programme can act as a refresher course, while additionally providing a practical perspective on ML applications in industry, the company said in a statement. "With the pace of advancements in ML, we are proactively helping students to learn about the latest trends in the field of ML and apply them to solve real-world problems," said Rajeev Rastogi, VP, India Machine Learning at Amazon. "Our aim is to prepare students for science roles -- this will help to reduce the gap between the growing demand for ML roles across companies and the talent pool with applied ML skills," he added.