Machine Learning

Christopher Pissarides, professor at London School of Economics, who specializes in the impact of automation on work, said labour market can adapt quickly enough to AI-backed chatbots

The demand for experts who ensure that AI models are free of bias is exploding

37% organisations provide employees tools to build AI-ready workforce, says survey

In a new study, researchers at the Indian Institute of Science (IISc) show how a brain-inspired image sensor can go beyond the diffraction limit of light to detect miniscule objects such as cellular components or nanoparticles invisible to current microscopes. Their novel technique, which combines optical microscopy with a neuromorphic camera and machine learning algorithms, presents a major step forward in pinpointing objects smaller than 50 nanometres in size, the Bengaluru-based IISc said in a statement on Tuesday. The results are published in 'Nature Nanotechnology'. Since the invention of optical microscopes, scientists have strived to surpass a barrier called the diffraction limit, which means that the microscope cannot distinguish between two objects if they are smaller than a certain size (typically 200-300 nanometres). Their efforts have largely focused on either modifying the molecules being imaged, or developing better illumination strategies some of which led to the 20

Quad, an informal grouping of four countries Australia, India, Japan and the United States, has agreed to leverage machine learning and related advanced technologies to enhance cyber security, the White House has said. Officials of Australia, India, Japan and the United States met in New Delhi on January 30-31 for the Quad Senior Cyber Group, during which they reaffirmed their commitment to advance a free and open Indo-Pacific that is inclusive and resilient, it said. In the longer term, the Group committed to leverage machine learning and related advanced technologies to enhance cyber security and establish secure channels for Computer Emergency Response Teams (CERT) and private sector threat information sharing, the White House said in a statement on Thursday. The Group also committed to create a framework and methodology for ensuring supply chain security and resilience for information communication technologies (ICT) and operational technology (OT) systems of critical sectors, i

Strap: 'We have trained over 58,000 people in data analytics and artificial intelligence so far,' says Sanjay Srivastava, Chief Digital Strategist, Genpact

US-based firm's current revenue at $800 mn; company hopes to grow India customer base by 2-3x

'Need to keep careful watch on commodity price rises,' Chandra tells employees in New Year message

The Reserve Bank has shortlisted seven global consultancy firms, including Pricewaterhouse Coopers, McKinsey and Boston Consulting Group (India), to use artificial intelligence and machine learning for supervisory functions. The RBI is looking to extensively use advanced analytics, artificial intelligence and machine learning to analyse its huge database and improve regulatory supervision over banks and NBFCs. For this purpose, the central bank plans to hire external experts. In September this year, the RBI invited expressions of interest (EoI) for engaging consultants for use of advanced analytics, artificial intelligence and machine learning for generating supervisory inputs. Based on the scrutiny/evaluation set out in the EOI document, the central bank has shortlisted seven applicants for participating in the request for proposal process (RFP) for the selection of consultant(s), according to an RBI document. The seven firms are Accenture Solutions Private Limited; Boston Consult

The Linecraft.ai software is built by a team of AI and ML experts and engineers with a patented algorithm

Amount will be driven by 'business outcomes', according to survey of 200 business leaders

According to the official, over 80 training programmes are being run in R-CAT

Comviva will provide content, technologies, faculty training, and access to industry experts in its core areas of focus like digital payments, real-time marketing & analytics, etc

The Reserve Bank is planning to extensively use advanced analytics, artificial intelligence and machine learning to analyse its huge database and improve regulatory supervision on banks and NBFCs. For this purpose, the central bank is also looking to hire external experts. While the RBI is already using AI and ML in supervisory processes, it now intends to upscale it to ensure that the benefits of advanced analytics can accrue to the Department of Supervision in the central bank. The department has been developing and using linear and a few machine-learnt models for supervisory examinations. The supervisory jurisdiction of the RBI extends over banks, urban cooperative banks (UCB), NBFCs, payment banks, small finance banks, local area banks, credit information companies and select all India financial institutions. It undertakes continuous supervision of such entities with the help of on-site inspections and off-site monitoring. The central bank has floated an expression of inter

Company will use financing to expand technology team and for product development

This is why IMD provides an assembled forecast, which is given as a probability

In a Q&A, Minitifi's co-founder and CEO Anup Agarwal talks about how it has enabled distributors and retailers to increase sales

Automated medical imaging tools can shorten the time to diagnosis while enabling physicians to triage medical cases more effectively, especially in time-sensitive situations

The demand is for skills that can address new technology demands such as AI/ML, data analytics, cloud etc, which may not be easily available in these cities

India is also a global source of talent in data and AI skills; it produces 16 per cent of the world's AI talent pool, said the report