Recent advances in the field of artificial intelligence research are gaining widespread attention from the world because of the impact that they can have on our lives. From speech recognition, virtual home assistants to learning platforms, things have gotten very interesting in the tech industry.
Tech-giants have been racing against each other to incorporate AI aspects into their newest creations so as to make the human experience much more comfortable. By adding characteristics that understand children, empathy and work routines, artificial intelligence technology is set to become a revolution. Here are some of the recent advances in the field of artificial intelligence, in terms of research and technology.
Workforce Powered by Robotics and Artificial Intelligence
In today’s world, it isn’t hard to conclude that artificial intelligence will take over the workforce in labor-intensive industries. Assembly lines will no longer have to use workers, which reduces the cost of hiring and training them.
One of the biggest companies to lead this trend is China-based manufacturer Tianyuan Garments Company. Although they recently started hiring new workers at their factory in Arkansas, the company is set to run operations in their Little Rock factory using robots for sewing purposes. These robots are sourced from SoftWear Automation, a startup that’s based in Georgia and makes technology to manufacture apparel.
Japan is introducing a wave of robot carers, who will help in fields like nursing and caretaking at retirement homes. The move was expected, considering the nation’s aging population that accompanies a declining mortality rate. The government aims for the new careers to form a majority of the workforce by 2025.
The benefit of replacing the current workforce with robots is that it allows companies to save money by reducing the costs of hiring employees, allowing them to focus more on improving the quality of products.
Artificial Intelligence and Natural Language Generation
This process comprises of a task to generate clear text from machine data. The theory isn’t new and is a branch of artificial intelligence. Thanks to improvements in technology, advanced systems will be able to seamlessly convert data into text, which enables computers and similar devices to exchange ideas with higher levels of accuracy.
The biggest implementation will be in customer service departments to create new reports and summaries on market trends. Companies like Yseop, SAS, Narrative Science and Lucidworks offer natural language generation systems.
Natural Language Generation with Data Collection
It automates the process of generating written reports but in a general way, it fits into the decision making a workflow. Natural Language Generation is the last step in the collection and analysis of data, two processes that have been automated for quite a while.
By using natural language generation, you can save time and have a written summary before you in a quarter of the time. When AI searches through data records to create reports, it saves organizations plenty of time so they can derive trends and insights from the summary. As a result, corporations are able to leverage big data to a greater extent.
Improved Security with Artificial Intelligence
With the help of artificial intelligence, security forces will be better equipped to expect attacks and protect citizens. Conventional methods of surveillance are being swapped for cybersecurity so that a country can deal with consistently-evolving attacks.
As of yet, drones are the only example of artificial intelligence being implemented on the battlefield. However, there is much more that is yet to come; traditional defense mechanisms are converging to more advanced mediums of cybersecurity and surveillance. Therefore, there’s an increasing need for AI based on developed algorithms.
Cyber Security with AI Systems
Although many other areas of industry prove to be points of opportunity for the growth of AI, cyber security also has potential to thrive under the development of adequate AI systems. This is because cyber attacks are evolving at a persistent rate so government organizations are facing the threat of dangerous malware.
Using AI-based software, communities under the threat of attack can comb through millions of records worth of incidents to determine risks and signals that can help identify future attacks. More and more startups are entering the market with their own take on cybersecurity.
The market for artificial intelligence is growing ever since cybersecurity companies started testing the waters with machine learning technology. Despite how many new startups are trying to enter the market, companies such as Tanium, CrowdStrike, Cylance, and Cybereason still have an edge above the rest.
Artificial Intelligence Optimized Hardware
On its own, hardware is much harder to deal with, but when you put AI into the mix, you get hardware that’s much friendlier in nature. Using new central and graphics processing units and devices, companies can specifically design and structure hardware to complete tasks that require AI orientation.
AI Optimized Silicon Chips
Another upcoming AI trend is the popularity and emergence of silicon chips that are AI optimized and compatible with various models of portable devices. Corporations that are currently developing such technology include Nvidia, IBM, Cray, Intel, and Google.
Tech giants have already incorporated AI hardware in their products to a certain extent. For instance, it’s already a part of some high-end Smartphones, and the leading players in cloud technology have their own focused hardware. A laundry list of new startups is looking to create silicon chips that can handle AI-oriented challenges and tasks.
AI-Optimized Voice Assistants
We all know about voice assistants. However, are they getting any better at their job? Based on what the Consumer Electronics Show 2018 had to display, they are. Voice-enabled computing was the star of the show, and there was almost no device that wasn’t IoT-connected and integrated to home assistant devices like the Google Home or Amazon Echo.
At the exhibition, many companies displayed their innovations in the domain of voice-enabled artificial intelligence. Automobile manufacturer, Toyota, unveiled its latest concept e-Pallet while LG demonstrated its new robots
Currently, Samsung is also in the works of launching its own voice assistant called Bixby to fulfill its goal of integrating all products with internet connectivity and Bixby. In 2017, LG introduced its plans to integrate Wi-Fi connectivity into all of its appliances.
AI is Changing Translation
Until a few years ago, image translation was a difficult task to accomplish with any technology but with recent advancements in machine learning, it looks like we’ll be able to look at things much clearly through an AI-optimized lens.
With AI, it becomes much more convenient to understand what you’re reading on the internet and now, even in real life, because of translation features that are a part of new devices. This new technology functions by first individually recognizing separate words and translating them. It then takes advantage of how there are nuances and relationships between words that generate a different meaning.
AI Social Media Platforms
AI-powered translation is already a part of reigning search engines and social media platforms like Facebook and Facebook-owned Instagram. There is still a need to question the reliability of such technology but with further learning, translations are bound to get more accurate.
If you’ve ever seen the translator feature in action, you’ll have noticed how seems to have gotten better as time passed. At first, Google and Facebook’s translations of foreign languages to English seemed like a joke, but now they help friends across borders understand each other better.
Even Microsoft is breaking barriers with its own AI-powered translator that is set to operate offline. Modified neural translations are what allow the tech to work in the first place and while it may not provide such sophisticated translations as the ones from the cloud; they can help in getting the job done.
Platforms for Deep Learning
These implement a distinct form of machine learning that makes use of artificial neural circuits with numerous layers of abstractions. This creates a system that imitates human brain function, processes data and creates patterns that assist in making a profitable decision.
As of yet, the technology can only go as far as recognizing patterns and categorizing applications that are specifically compatible with certain data-sets. Companies like Sentient Technologies, Saffron Technology, Peltarion, Fluid AI, Deep Instinct, MathWorks, and Estraz Labs are developing new learning options that have immense potential.
AI Logic and Decision Management
AI-oriented machines can introduce new rules and logical reasoning to systems so that companies can use them for tuning, consistent maintenance, and training. Numerous corporations have incorporated data management into their organizational applications to assist members in coming to a conclusion and executing the decision. An AI-based decision management operation can give companies the advantage of making a viable decision by providing them with relevant and updated information through analysis.
When connected, machine learning technology keeps translating customer data into a formatted model that shows trends. This helps consumer satisfaction and marketing departments in improving their business practices to enhance engagement with their target audience. This is interrelated to another artificial intelligence trend, deep learning platforms.
It looks like artificial intelligence will be competing with more than just the unskilled workforce; machine learning can practice skilled tasks by teaching itself from various sources of material. To begin with, AI systems possess the potential to carry out tasks required in legal work with greater efficiency while reducing time.
As these systems undergo greater development, become commercialized and affordable, law firms will face a challenge that will result in a change of structure that shapes their by-hour fee structure.
We already know biometrics as a technology that can analyze, measure, and identify human body structure, aspects, and behavior. When you bring AI into the picture, developers can make the interaction between humans and biometric machines.
This engagement will be related to recognizing body language, speech patterns, and touch. Because of these expected features, AI-oriented biometrics is a big field in the market’s research field. Companies like Tazhoo, Sensory, FaceFirst, and Affectiva are all leading the change with their developments in biometric technology.
Reducing Response Times in Technology
AI is no longer limited to being a part of bigger corporate processes like decision management and security measures but is also entering the field of handheld technology and other wearable devices that make everyday life more convenient.
Take tech giant Apple for example, who started the wave when they launched the A11 chip with a neural engine for their iPhones 8 and X. The company claims that it can perform different machine learning tasks at a rate of up to 600 billion operations every second.
Another example of similar artificial intelligence is training the assistant on your phone to recognize your distinct accent. The AWS DeepLens by Amazon has resulted in smart cameras that can recognize a person who has entered the area. Huawei is following up on the trend with its AI processor as well, which allows facial and object recognition.
Automating Repetitive Corporate Tasks
Using robotic processes automation, businesses can take advantage of methods and scripts to automate tasks carried out by humans and support the organizational process. This is highly beneficial in situations when businesses can’t hire humans for a job because it’s too expensive or not efficient enough.
Adext AI is an example of a platform that automates the process of digital advertising by using AI systems, which saves businesses from having to put in countless hours into a repetitive and mechanical task.
This solution gives businesses the opportunity to work on things that require human creativity and talent by shifting employee tasks towards strategic categories since these are the jobs that really have an impact on a company’s growth. You’ll see that companies like Blue Prism and Advanced Systems Concepts are taking robotic processes automation forward.
Assisting Knowledge-reliant Professions
While most people look at AI as a threat to unskilled and skilled jobs, processes like worker aid show that the systems have a potential to assist professionals that are in a knowledge-reliant field. This includes the legal industry and healthcare sector, which can benefit from using artificial intelligence technology as a diagnostic tool.
These are just a few examples of up and coming artificial intelligence trends because new developments are coming into practice every day, and they can drastically change the world’s position with regard to new technology.