Beyond AI/ML: What’s Next In Tech Innovation?

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Artificial Intelligence is way past moment zero.

The dawn of artificial intelligence and machine learning has come and gone. The hype has now become everyday language, so what’s in store for tech and what are the next steps?

We see companies using Artificial Intelligence to gather data, in efforts to develop ways of making life better or enhanced. Out all of the advancements we’ve heard about with AIs and the emerging technology we see on our computers, tablets, iPhones and Android mobile devices, most of these technologies  – computer vision (face recognition) and natural language processing (text-to-speech, speech-to-text, natural language generation, NLP) is two or more years old. Now that we’ve adapted to AI and ML, where is technology going and who’s driving us there? It’s nothing short of fascinating.

What’s Facebook’s Next Destination?

With privacy being an issue of this social media giant, there are some interesting innovations lurking in the research labs of Facebook. Many can learn more about Facebook Artificial Intelligence Research or FAIR, by visiting their research site. FAIR is working on enhancing their self-learning models, increasing the efficiency of their Q-2-A system that is currently in the process of learning how to digest multiple Wikipedia articles in order to produce an effective and tailored response that directly answers inquiries about images, videos and other questions that extend beyond simple yes or no answers. The real answers to what is coming next doesn’t stem from what is shown on websites.

After digging into patents recently filed within the last few years, Facebook has something very interesting in the works. The title is “Offline Trajectories” and with advancements in AI and machine learning, they have filed a patent that has been granted to produce software that can predict location-based movements.

What does this mean? This means that for example, Joe who works at Office A 5 days a week and develops a routine of going to Restaurant B certain days after work each week. Trajectorial algorithms will be used to determine Joe’s next move. Essentially, this type of software will help pave the way for new advertising opportunities that are more itinerary-based. Imagine having new suggestions of places to eat and events that you may enjoy that is within your comfort zone and aims to improve the quality of life, rather than disrupt it. What are your thoughts on Facebook’s Offline Trajectories?

Google Stands Tall to Make Gestures Stronger

Every major tech giant is in a race to bring the next new innovation to the human race that will change the world for the better. Traditional and longstanding financial institutions and banks have started investing a lot in AI/ML in attempts to provide the best experience for their customer base. Even brick and mortar business are turning to AI/ML, but are they in any competition with the likes of Facebook, Apple or Google? Definitely not. Google is starting to make strong leaps toward standalone hand gesture commands. With their patents filed for progressing “Project Soli”, Google looks to have a new way in how we interact with the technology around us. Simply by churning your fingers together in a rubbing motion, is enough to adjust a thermostat or volume control of a smart device.

Another interesting and add-on patent to enhance an idea behind Google Glass. That’s right, Alphabet’s Google has not given up on their Glass and is looking into ways to track and understand the meaning behind ocular motion in order to repurpose voluntary eye motions as a means of initiating actions, commands, and engagements on HMIs used in most smart devices. Gesture and sensor-based technology’s biggest focus is discerning user intent (DUI). This was the main purpose of their patent to develop technology that is capable of DUI prediction and channeling that into command-based prompts to navigate between device menus and applications “hands free”.

After Visual, Auditive and Haptic, Smell is the next sense frontier for Apple

Apple recently recruited another Google AI expert, Ian Goodfellow, who has been appointed to the position of Director of Machine Learning in the Special Projects Group. The specialist also has worked for Elon Musk at helped establish OpenAI, as well as developing “generative adversarial network” or GAN. This shows that Apple is also putting a lot of efforts into advancing their tech by using AI and ML. Apple is currently testing and researching a smart device that is capable of environmental observations. Currently, devices have certain sensors in place that help detect water, lighting, and other human sensory elements such as sound and feel. Apple’s patent is based on the logic that they can develop, train, and deploy a smart device that is capable of picking up on smells and discerning what type of smell it is. The idea is to determine chemical compositions of smells and have a machine or intelligence learn the different smells and place association between them, learning to recognize what smells go with what objects.

This could change several industries in terms of being able to decipher Carbon monoxide levels in human sweat and being able to determine blood/sugar levels as well as developing machines that are capable of autonomously preparing food and having a sense of smell to ensure a gourmet dish is made right. Could your Apple watch save you from food poisoning by detecting potential food-based threats? With the types of patents under their belts, it’s certainly within reach.

Tech Giants Rely On Specialized Nearshore Agencies for (not only Software) Innovation

The “Age of Autonomy” is here, and while many large companies, enterprises, and organizations are adopting new roles to help keep a competitive edge like incorporating Chief Digitalization Officers (CDO) or Chief Digital Information Officers (CDIO). These experts are misunderstood by their colleagues, but hold a valuable place within the companies they work for. Large tech companies rely on smaller specialized agencies like dotNear (part of Cegeka) to further efforts in developing systems, processes, and software applications that fuel tomorrow’s personalized technology.

These smaller, more specialized and focused agencies are able to apply out-of-the-box thinking to innovate one-box-solutions. Collected data is used to enhance, train, and help develop the technologies of tomorrow and even with GDPR cracking down, data collection has strengthened and advertisers and tech companies are learning more about the general public than most would like. How comfortable are you with companies knowing where you were at a certain point in time so that you could get local advertisements based on exactly what you like? Doesn’t sound bad, but where does privacy come in.

Even with the current tech being years old, there are certainly some advancing trends to keep an eye out on and here are X trends we see powering new technology:

  • Touchless – Google seems to be making a lot of headway in their race to a touchless tomorrow. Not only are they trying to go touchless, but they are also aiming to go handless as well.
  • Health Conscious – Apple’s environmental observation sensors could change the state of their wearables by detecting deficiencies and other potential threats in the air, through their sweat, and rhythmically for cardiovascular detection. The healthcare field is looking to get a facelift from all of this emerging technology. Early detection and elimination of disease and ailments are making huge progress. Expect even better results.
  • Autonomous Learning – Large companies like Google, Apple, and Facebook are turning research toward self-learning or unsupervised learning methods to train and deploy. This enables AI to effectively learn similar to how humans do so that they can enhance virtual assistants and smart devices by enabling them to offer better suggestions, provide emotional responses and power autonomous actions like self-driving cars to be safer and more secure.

Stepping Into Tomorrow, Today.

Technology can spark discern in some because not knowing what’s to come can be off-putting, but the intent behind these advancements are meant to power the well-being as a race and make the quality of life better. It is due to the concentrated work of small specialized software developers and nearshore agencies that these advancements find applicable use in our everyday lives. We’ve survived the Artificial Intelligence and Machine Learning wave. We now are taking steps into Personalized Autonomy powered by our discoveries through AI/ML. The next generation will expect little efforts to go a long way and we are right on target with developing tomorrow’s technology today.

Why not get in touch with us and see how we can help you with the next wave in innovation?