IBM Reveals Five Innovations For The Future

IBM Reveals Five Innovations For The Future

FP Archives February 2, 2017, 23:54:50 IST

The IBM 5 in 5 is based on market and societal trends as well as emerging technologies from IBM’s R&D labs around the world that can make these transformations possible.

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IBM Reveals Five Innovations For The Future

IBM has unveiled the seventh annual “IBM 5 in 5” – a list of innovations that have the potential to change the way people work, live and interact during the next five years.

  • Touch: You will be able to touch through your phone

  • Sight: A pixel will be worth a thousands wordsHearing: Computers will hear what matters

  • Taste: Digital taste buds will help you to eat smarter

  • Smell: Computers will have a sense of smell

The IBM 5 in 5 is based on market and societal trends as well as emerging technologies from IBM’s R&D labs around the world that can make these transformations possible.

This year’s IBM 5 in 5 explores innovations that will be the underpinnings of the next era of computing, which IBM describes as the era of cognitive systems. This new generation of machines will learn, adapt, sense and begin to experience the world as it really is. This year’s predictions focus on one element of the new era, the ability of computers to mimic the human senses—in their own way, to see, smell, touch, taste and hear.

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These sensing capabilities will help us become more aware, productive and help us think – but not think for us. Cognitive computing systems will help us see through complexity, keep up with the speed of information, make more informed decisions, improve our health and standard of living, enrich our lives and break down all kinds of barriers—including geographic distance, language, cost and inaccessibility.

“At IBM, we are continuously working towards advancing computing in a variety of fields. We have already witnessed the benefits of cognitive systems for advancing numerous aspects of the human experience – from agriculture and healthcare to utility management and weather forecasting. We envision a day when computers make sense of the world around them just like the human brain relies on interacting with the world using multiple senses,” said Ramesh Gopinath, Director – India Research Lab and Chief Technology Officer, IBM India/South Asia.

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Here are five predictions that will define the future:

Touch: You Will Be Able To Touch Through Your Phone.

IBM scientists are developing applications for the retail, healthcare and other sectors using haptic, infrared and pressure sensitive technologies to simulate touch, such as the texture and weave of a fabric – as a shopper brushes her finger over the image of the item on a device screen. Utilising the vibration capabilities of the phone, every object will have a unique set of vibration patterns that represents the touch experience: short fast patterns, or longer and stronger strings of vibrations. The vibration pattern will differentiate silk from linen or cotton, helping simulate the physical sensation of actually touching the material.

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Current uses of haptic and graphic technology in the gaming industry take the end user into a simulated environment. The opportunity and challenge here is to make the technology so ubiquitous and inter-woven into everyday experiences that it brings greater context to our lives by weaving technology in front and around us. This technology will become ubiquitous in our everyday lives, turning mobile phones into tools for natural and intuitive interaction with the world around us.

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Sight: A Pixel Will Be Worth A Thousand Words

Computers today only understand pictures by the text we use to tag or title them; the majority of the information – the actual content of the image – is a mystery.

In the next five years, systems will not only be able to look at and recognise the contents of images and visual data, they will turn the pixels into meaning, beginning to make sense out of it similar to the way a human views and interprets a photograph. In the future, “brain-like” capabilities will let computers analyse features such as colour, texture patterns or edge information and extract insights from visual media. This will have a profound impact for industries such as healthcare, retail and agriculture.

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Within five years, these capabilities will be put to work in healthcare by making sense out of massive volumes of medical information such as MRIs, CT scans, X-Rays and ultrasound images to capture information tailored to particular anatomy or pathologies. What is critical in these images can be subtle or invisible to the human eye and requires careful measurement. By being trained to discriminate what to look for in images – such as differentiating healthy from diseased tissue – and correlating that with patient records and scientific literature, systems that can “see” will help doctors detect medical problems with far greater speed and accuracy.

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Sound: Computers Will Hear What Matters

Within five years, a distributed system of clever sensors will detect elements of sound such as sound pressure, vibrations and sound waves at different frequencies. It will interpret these inputs to predict when trees will fall in a forest or when a landslide is imminent. Such a system will “listen” to our surroundings and measure movements, or the stress in a material, to warn us if danger lies ahead.

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Raw sounds will be detected by sensors, much like the human brain. A system that receives this data will take into account other “modalities,” such as visual or tactile information, and classify and interpret the sounds based on what it has learned. When new sounds are detected, the system will form conclusions based on previous knowledge and the ability to recognise patterns.

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In the next five years, by learning about emotion and being able to sense mood, systems will pinpoint aspects of a conversation and analyse pitch, tone and hesitancy to help us have more productive dialogues that could improve customer call centre interactions, or allow us to seamlessly interact with different cultures.

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Today, IBM scientists are beginning to capture underwater noise levels in Galway Bay, Ireland to understand the sounds and vibrations of wave energy conversion machines, and the impact on sea life, by using underwater sensors that capture sound waves and transmit them to a receiving system to be analysed.

Taste: Digital Taste Buds Will Help You To Eat Smarter

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What if we could make healthy foods taste delicious using a different kind of computing system that is built for creativity?

IBM researchers are developing a computing system that actually experiences flavour, to be used with chefs to create the most tasty and novel recipes. It will break down ingredients to their molecular level and blend the chemistry of food compounds with the psychology behind what flavours and smells humans prefer.

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The computer will be able to use algorithms to determine the precise chemical structure of food and why people like certain tastes. These algorithms will examine how chemicals interact with each other, the molecular complexity of flavour compounds and their bonding structure, and use that information, together with models of perception to predict the taste appeal of flavours.

Smell: Computers Will Have A Sense Of Smell

During the next five years, tiny sensors embedded in your computer or cell phone will detect if you’re coming down with a cold or other illness. By analysing odours, biomarkers and thousands of molecules in someone’s breath, doctors will have help diagnosing and monitoring the onset of ailments such as liver and kidney disorders, asthma, diabetes and epilepsy by detecting which odours are normal and which are not.

Today IBM scientists are already sensing environmental conditions and gases to preserve works of art. This innovation is beginning to be applied to tackle clinical hygiene, one of the biggest challenges in healthcare today.

In the next five years, IBM technology, using novel wireless “mesh” networks, data on various chemicals will be gathered and measured by sensors, and continuously learn and adapt to new smells over time.

Due to advances in sensor and communication technologies in combination with deep learning systems, sensors can measure data in places never thought possible.

Written by FP Archives

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