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I Will Start to Enable Empathetic, Intelligent Computing

After a surprisingly strong 2017, our collective interest has now shifted to the new year, and many questions arise as to what will happen in 2018. Some events are likely to be a definite extension of the subject or concept. Which started operations in the last 12 months but also always surprises.

Those unexpected developments proved almost impossible to foresee. But here are some of the key areas expected to make major progress in the tech industry in 2018.

It can be as powerful and advanced as the technical products used in our daily lives. But it is still hard to call these products “smart”.

Of course, they can do an impressive job, but in many ways they may not be the easiest thing to do, especially to help us do what we “intend” to do or think we will. Leave what we ask them to do.

The problem arises from the question of interpretation or lack thereof. In the end, we will all have the tools and services that we do which we try to do in the smartest and most efficient way.

The reality of these smart devices is still a long way off, but in 2018, I think we will begin to see the first glimpse coming from major improvements in various personal assistant platforms (Alexa). , Google Assistant, Siri, etc.)

In particular, I believe that practical advances in artificial intelligence will begin to enable more relevant computational models for some of our devices, particularly smartphones and smart speakers.

In addition to the simple questions and discrete individual answers that often characterize these interactions, we should now begin to see more human-like responses to our questions and requests.

Multi-part conversations, more comprehensive answers, as well as tailored advice and insights based on what we are doing. (Or try to) We think our devices will start to make smarter.

Surprisingly, part of the way this development is likely to happen is to learn more about people and their way of thinking, essentially a form of digital empathy.

By embedding common responses people have to understand some questions or their assumptions about what to do in certain situations in the AI ​​model, we should start looking at our digital devices more humanely.

In fact, if technology progresses as I expected, we will stop calling AI “artificial intelligence” and start calling it “real intelligence”.

Prediction 2: For semiconductors, 2018 will be the year of acceleration.

After decades of dominance by CPUs, the world of semiconductors is witnessing massive changes that other types of chip architectures are beginning to bring about massive changes in power, importance and impact.

The process began several years ago with the rise of GPUs in applications beyond the traditional roles of computer graphics, particularly machine learning and artificial intelligence.

Since then, we have seen many other important chip architectures, such as legacy concepts such as FPGAS (field program gate arrays) to new structures such as dedicated vision processing units (VPUs). AI-centric tensor (TPU) and many others.

Overall, these alternative chip architectures are often called “accelerators” because it accelerates certain tasks.

In 2018, we are likely to see more announcements about the new chip architecture, and even more importantly, the use of much wider computer accelerators across devices and applications.

From data centers to consumer gadgets, next year there will be a lot to gain with a focus on these new generation of specialized semiconductor chips.

Clearly, not that traditional CPUs and other traditional processing elements will be missing, but a large part of software development, research and development, and overall focus in 2018 will be on these new game-changing components.

Part of the reason why accelerators are so important is that they are more targeted devices. However the CPU is still a great general-purpose processing engine. But these accelerators are designed to perform certain tasks faster and more efficiently.

In fact, not every accelerator has the same effect as a CPU. But overall, his impact on the new year will be very emotional.

The effect of the transition from general-purpose semiconductors to tight chips is substantial.

It is not just development, instead, it will only drive change in terms of product design and type of product manufactured. But it is also likely to change roles and influence these chip designers and builders have the overall supply chain of the tech industry.

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