Thread Of Artificial Intelligence : Machine Learning
Artificial Intelligence in Apple……!!
Hello Friends ….!!!
Getting started with Artificial Intelligence can lead to numerous questions and confusion, given the speed the world is changing and adopting this technology. There are plenty of resources available online but there has to be a start point….
What we have to see in this Blog :
1. What is Artificial Intelligence…??
2. Machine Learning ……
3. How Big MNC’s Use Artificial Intelligence…??
4. Role of Machine Learning in Apple Company…
Let’s See….
What is Artificial Intelligence….??
“ Artificial Intelligence can be understood as a similar to human intelligence. A simulation of human intelligence means that any task performed by a program or a machine will be carried out in the same way in which a human being would have done it.”
When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.
Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.
KEY TAKEAWAYS..
- Artificial intelligence refers to the simulation of human intelligence in machines.
- The goals of artificial intelligence include learning, reasoning, and perception.
- AI is being used across different industries including finance and healthcare.
- Weak AI tends to be simple and single-task oriented, while strong AI carries on tasks that are more complex and human-like.
“AI has been an integral part of SAS software for years. Today we help customers in every industry capitalize on advancements in AI, and we’ll continue embedding AI technologies like machine learning and deep learning in solutions across the SAS portfolio.”
— jim Goodnight (CEO SAS)
ARTIFICIAL INTELLIGENCE EXAMPLES :
- Smart assistants (like Siri and Alexa)
- Disease mapping and prediction tools
- Manufacturing and drone robots
- Optimized, personalized healthcare treatment recommendations
- Conversational bots for marketing and customer service
- Robo-advisors for stock trading
- Spam filters on email
- Social media monitoring tools for dangerous content or false news
- Song or TV show recommendations from Spotify and Netflix
Now Let’s See Machine Learning …
“Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence.”
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
ML or machine learning is what makes an AI application intelligent enough to learn new things. This is the broad part of AI that most industries in the world are working on.
Because of this, a computer device takes up data and with more data, it gets more intelligent. It is like feeding a human being with food that makes them stronger. Data makes a device that has used ML smart and intelligent.
Because of this, the software can learn how they need to improve and personalize themselves according to their users. ML is also used in the voice assistants because of which they can remember what we say and search related to that.
How machines learn:
Although a machine learning model may apply a mix of different techniques, the methods for learning can typically be categorized as three general types:
- Supervised learning: The learning algorithm is given labeled data and the desired output. For example, pictures of dogs labeled “dog” will help the algorithm identify the rules to classify pictures of dogs.
- Unsupervised learning: The data given to the learning algorithm is unlabeled, and the algorithm is asked to identify patterns in the input data. For example, the recommendation system of an e-commerce website where the learning algorithm discovers similar items often bought together.
- Reinforcement learning: The algorithm interacts with a dynamic environment that provides feedback in terms of rewards and punishments. For example, self-driving cars being rewarded to stay on the road.
How Big MNCs Use Artificial Intelligence……
Artificial Intelligence (AI) is disrupting lots of industries right now. According to Quartz, 37% of companies are using or are planning to use AI tech this year — a far cry from 10% back in 2015. This number is only expected to skyrocket thanks to the companies who are currently utilizing AI innovations.
Real AI combines cutting-edge work in symbolic AI, neural networks, expert systems, machine perception, conversational natural language processing, adaptive motor control and cognitive architecture among others.
The best AI stocks to buy:
- Nvidia Corp. (NVDA)
- Alphabet (GOOG, GOOGL)
- Salesforce (CRM)
- Alteryx (AYX)
- Amazon.com (AMZN)
- Microsoft Corp. (MSFT)
- Twilio (TWLO)
- IBM (IBM)
Artificial Intelligence Companies Leading the Smart Revolution
Apple. …
Anki. …
Google. …
DataVisor. …
Casetext. …
Facebook. …
Clarifai. Clarifai leads the way in developing AI use cases for image recognition. …
Deepmind. Deepmind is a Google-owned company that concentrates solely on AI technology for a variety of industries.
Role Of Machine Learning in Apple….
APPLE..
Apple has been busy acquiring AI start-ups in recent years and sees Artificial Intelligence as a critical part of its future. In December 2018, the company officially appointed John Giannandrea as head of the AI and Machine Learning department after Google poached the Scottish computer scientist. He will oversee the development of products such as Siri and the company’s new Create ML tool, which MacOS and iOS developers can use to create efficient and straightforward training courses for their apps.
Despite this, Apple has included dedicated hardware for machine learning tasks in most of the devices it ships. Machine intelligence-driven functionality increasingly dominates the keynotes where Apple executives take the stage to introduce new features for iPhones, iPads, or the Apple Watch.
Apple CEO Tim Cook believes AI is “fundamentally changing the way people interact with technology”…
Apple already makes chips that perform certain AI tasks, like recognizing the wake phrase “Hey, Siri.” But its hardware will need to become more capable without draining your battery. Apple did not respond to a request for comment.
Now, AI on the edge means running pretrained models that do a specific task, such as recognizing a face in a video or a voice in a call. But Mitra says it may not be long before we see edge devices that learn too. This could let a smartphone or another device improve its performance over time, without sending anything to the cloud. “That would be truly exciting,” he says. “Today most devices are essentially dumb.”
Apple’s on-device machine learning enables intelligent experiences across our integrated hardware, software, and services. As these intelligent experiences solve our users’ problems across disciplines, the need for domain experts to understand machine learning grows. This is why the AI/ML residency program aims to immerse these experts in the ML space.
“Machine learning and AI are important to Apple’s future as they are fundamentally changing the way people interact with technology, and already helping our customers live better lives. We’re fortunate to have John, a leader in the AI industry, driving our efforts in this critical area.”
In that way apple uses the Artificial Intelligence and Machine Learning.
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