ARTH — Task 20 👨🏻💻
Task Description📄
✍🏻 Research for industry use cases of Neural Networks and create a blog, Article or Video elaborating how it works.
NEURAL NETWORKS
WHAT???
- Neural networks are a set of algorithms, they are designed to mimic the human brain, that is designed to recognize patterns.
- They interpret data through a form of machine perception by labeling or clustering raw input data.
- consisting of a network of layers this system is patterned to replicate the way the neurons in the brain operate.
- The network comprises an input layer, where data is entered, and an output layer, where processed information is presented.
USECASES…
1.USE CASE OF NEURAL NETWORKS IN PHARMACEUTICAL INDUSTRY
- The pharmaceutical industry is at an inflection point and is ripe for disruption to stay relevant in today’s competitive market.
- Artificial Neural Networks are being used by the pharmaceutical industry in a number of ways. The most obvious application is in the field of disease identification and diagnosis.
- Artificial Neural Network (ANN) technology is a group of computer-designed algorithms for simulating neurological processing to process information and produce outcomes like the thinking process of humans in learning, decision making, and solving problems.
- With so much data being produced, Artificial Neural Networks are being used to help scientists efficiently analyze and interpret it.
- ANNs present superiority over a commonly used multi-linear regression methodology in many complex systems, as well as in particle distribution of fluid bed granules, powder flow during mixing, tableting processes, dissolution behavior of poorly soluble drugs, and controlled release matrix tablets.
- The IBM Watson Genomics is one example of smart solutions being used to process large amounts of data.
2.ONLINE SHOPPING — AMAZON
- Do you find yourself in situations where you’re set to buy something, but you end up buying a lot more than planned, thanks to some super-awesome recommendations?
Yeah, blame neural networks for that. By making use of neural network and its learnings, the e-commerce giants are creating Artificial Intelligence systems that know you better than yourself. Let’s see how
|Search
^ Your Amazon searches (“earphones”, “pizza stone”, “laptop charger”, etc) return a list of the most relevant products related to your search, without wasting much time. In a description of its product search technology, Amazon states that its algorithms learn automatically to combine multiple relevant features. It uses past patterns and adapts to what is important for the customer in question.
And what makes the algorithms “learn”? You guessed it right — Neural Networks!
|Recommendations
^ Amazon shows you recommendations using its “customers who viewed this item also viewed”, “customers who bought this item also bought”, and also via curated recommendations on your homepage, on the bottom of the item pages, and through emails. Amazon makes use of Artificial Neural Networks to train its algorithms to learn the pattern and behaviour of its users. This, in turn, helps Amazon provide even better and customized recommendations.
3.VOICE TO TEXT
- One of the more common features on smartphones today is voice-to-text conversion. Simply pressing a button or saying a particular phrase (“Ok Google”, for example), lets you start speaking to your phone and your phone converts the audio into text.
- Google makes use of artificial neural networks in recurrent connection to power voice search. Microsoft also claims to have developed a speech-recognition system — using Neural Networks, that can transcribe conversations slightly more accurately than humans.
- With the voice-to-text technology becoming accurate enough to rely on for basic conversations, it is turning into the control interface for a new generation of personal assistants.
- Initially, there were simpler phone assistants — Siri and Google Now (now succeeded by the more sophisticated Google Assistant), which could perform internet searches, set reminders, and integrate with your calendar.
- Amazon expanded upon this model with the announcement of complementary hardware and software components — Alexa, and Echo (later, Dot).
CONCLUSION ::
We’ve only scratched the surface when it comes to the applications of neural networks . Specific industries and domains have specific interactions with Artificial Intelligence by making use of neural networks …