Trends in Artificial Intelligence and Machine Learning to Look for

Trends in Artificial Intelligence and Machine Learning to Look for

Humans have made tremendous progress in the field of technology, be it in terms of the extensive increase in the use of mobile devices or automatic cars or smart homes. We have been consistent in challenging the new norms of technological advancements and Artificial Intelligence is one such sector that is being extensively explored in the current world.

 

 

Artificial Intelligence is an umbrella term that includes major areas of mechanized conscious activities. Machine Learning is one of the key areas of Artificial Intelligence which involves giving the authority of learning and deciding to machines by gathering information from previous events. With the use of algorithms, these machines can produce results that are desired by their creator.

 

It is safe to say that AI and machine learning are the future of our modern world. Here are the top trends we expect to see for these fields in the coming future.

 

1) Smart Houses: A lot of work is being done on Natural Language Processing and we are likely to see this technology as an essential commodity for smart houses. Internet of things involves the consistent exchange of data, which in turn is vital in Natural Language Processing. As many algorithms adapt themselves to understand human emotions, gradually answering a question through applications like Siri or Alexa might seem like communicating with a real person. OK, Google and other virtual assistants are already being updated to come close to the level of human communication.

 

2) Virtual Mirrors: Major tech giants such as Google, Amazon, and Facebook are spending huge amounts as an investment in this field. Clusters such as retail, aviation, healthcare, and banking areas are sure to see beneficial results with Virtual Mirrors. Amazon has already applied for a patent regarding their upcoming product called A Virtual Mirror which will use enhanced facial detections to locate the eyes of the person and gain relevant information about their position. Complex algorithms use this data to manage the position of the projector and the mirror can prescribe outfits to complement the looks of the person looking in the mirror using the data collected. It would be possible to try virtual clothing on the image of the person, giving customers unprecedented shopping experience.

 

A prior application by Amazon, known as ”Echo Look”, helped end-users try on different clothing and recommended which would be best suited for the customer. The application included depth-sensing cameras along with a computer vision-based background that obscures the backdrop and converges on the image of the user standing with the attire on.

 

1) Detection of Subtle emotions: Artificial intelligence will soon include sentiment analysis where the emotions of the end-user can be detected and associated feedback can be provided by an AI-powered machine. It will be easier to gauge feelings of satisfaction towards the product or detect a subtle dissatisfied customer. This program will be capable of understanding the deeper emotions related to the product.

 

2) No More Sweethearting: Sweethearting is defined as an act by the cashier to allow their known relatives or close-by employees to take things without any charge. Apps are being developed to stop this practice so as to avoid business loss. One such app is ShopLift which uses an algorithm to reduce thefts and loss of items from store chains. It is capable of blocking all possible methods of sweethearting such as stacking one product on top of another, skipping scanner, covering the bar code and directly packaging everything without being scanned.

 

Another one, ScanItAll, uses video cameras to keep an eye on whether all the items are scanned at the counter. If a cashier is unable to process any item under the scanner, that item is labeled as a ‘loss’ and the information passed to the relevant department to decide the next steps.

 

1) Secure streets when traveling on wheels: Google Labs is working consistently to evolve its technology in the field of self-driving cars and sensor technology on the streets. These vehicles are adept in detecting vehicles, pedestrians and other blockades from a long distance. Regular tests are being performed to test the safety of these algorithms for pedestrians and other cars on the road. Google Labs claims its technology is capable of detecting the direction of the turn of another vehicle just by using simple cues giving the car the power to judge and predict the next move of the driver.

 

2) Accurate Diagnosis: Healthcare is one field where Machine Learning can have a real impact, proving fruitful for both the doctors and patients. AI and machine learning are expected to make the diagnosis of many diseases like Cancer much more accurate and suggest the best treatments. Detection at an early stage helps take care of any abnormalities at the right time and makes the recovery process much smoother.

 

3) Neuromation: Humans have a huge dependency on crops for their food and health requirements. Machine Learning is using its gifts to revolutionize agriculture. Changing weather patterns can be predicted at a more microscopic level now which is helpful information for farmers.

 

An emerging field called precision agriculture is using autonomous drone surveillance, distributed sensor data and satellite imaging to accurately train AI systems to use the exact amount of fertilizers and only in the area that requires it. Higher productivity with less usage of water, fertilizers, and pesticides can curb the impact on natural ecosystems and also keep pace with the growing population across the globe.

 

Conclusion: AI and Machine Learning promise to provide overwhelming benefits to humankind in the coming times. Though a complete dependency on such applications is still being questioned, the possible cons overshadow the real-life benefits of these fields.

 

 

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