How deep learning gives touch to robots

The majority of artificial intelligence (AI) research to date has been focused on vision. Thanks to machine learning, and in particular deep learning, we now have robots and devices that have a pretty good visual understanding of their environment. But let’s not forget, sight is just one of the human biological senses. For algorithms that better mimic human intelligence researchers are now focusing on datasets that draw from sensorimotor systems and tactile feedback. With this extra sense to...

By | 19 December 2018 | Robotics

How researchers are bringing AI-enabled radiology to rural India

Providing quality health services and screening to rural populations in a nation as large as India is extremely challenging: 67 percent of the Indian population resides in rural areas; 90 percent of medical imaging facilities are in cities; And there are only three radiologists per million people in the country. While educational health programmes have raised awareness of the importance of medical screening across India; this, in turn, has increased workloads for the few available...

By | 5 December 2018 | Healthcare

How AI is helping to predict cryptocurrency value

Cryptocurrencies have come a long way since Bitcoin was first announced in late 2008. In just a decade the market has skyrocketed from zero to an estimated $400bn, and a further 3,000 cryptocurrencies have since launched. But this success has not been without its ups and downs. Bitcoin alone has fluctuated from almost $20,000 to less than a cent during this time. There’s a lot of money to be made in cryptocurrency, and a lot of money to be lost. Luckily for investors (and developers),...

By | 21 November 2018 | Big Data

How machine learning can help banks rate credit risk

Credit risk is one of the major financial challenges that exist in the banking system. Yet, so far many lenders have been slow to fully utilise the predictive power of digitising risk. This is despite a recent report from McKinsey showing that machine learning may reduce credit losses by up to 10 per cent, with over half of risk managers expecting credit decision times to fall by 25 to 50 per cent. Why? Auditability. Traditional scorecards often make it easier to explain how a customer was...

By | 13 June 2018 | Machine Learning

See how AI can identify dangerous bacteria in water supplies

According to the World Health Organization, a baby dies every minute from infection caused by a lack of safe water and an unclean environment. Testing water typically requires expensive equipment and manual analysis, making it hard for many communities to ensure their water is safe. This is the challenge that Peter Ma has taken on. He took part in the World Virtual GovHack, described as a "global village hackathon". It aims to encourage students and start-ups to tackle difficult problems with...

By | 30 May 2018 | Healthcare

Discover how AI plans to transform healthcare

Medical treatments generate a huge amount of data, but so far the healthcare sector has been slow to adopt AI for processing it. That's all set to change. According to Frost & Sullivan, the AI market in healthcare could grow at a compound annual growth rate of 40 percent by 2021, potentially halving the cost of treatment. AI can help healthcare professionals in several ways. It can help to assess the diagnosis and prognosis for disease, reducing human error rates and workload. It can...

By | 17 May 2018 | Healthcare

Applying AI to create facial recognition software

While artificial intelligence has been solving problems for decades, it is now on the verge of permeating every major industry. Many of these new AI applications, however, require the use of computer vision techniques to process and understand large amounts of visual data. That’s why Intel is helping developers apply AI to the visual world. Airports, trains and bus stations are already deploying AI to identify potential security threats, creating intellectual systems that can function as an...

By | 28 March 2018 | Developers

How to develop autonomous driving solutions

It’s hard not to be excited about the potential of the autonomous car. But as developers know, building a car that can learn to navigate through its environment takes more than raw processing power. Intel can help you develop for autonomous cars. With deep learning you can create an accident-free experience with cars that can sense, learn and make proper decisions. Achieving this means greater reliance on sensors, data and processing power. And that’s true whether you’re developing for...

By | 14 March 2018 | Connected Cars

How deep learning can improve cancer diagnoses

In December, Brazilian federal auditor Luis Andre Dutra e Silva improved the accuracy of cervical cancer screening by 81 percent using the Intel® Deep Learning SDK and GoogleNet using Caffe to train a Supervised Semantics-Preserving Deep Hashing (SSDH) network. The driving factor behind the deep learning-based research that Silva and others are working on is that, as a leading cause of death, cancer affects millions of lives every year. Early detection and diagnosis can save not only billions...

By | 28 February 2018 | Healthcare