What is Deep Learning exactly?

What is deeplearning? Deep learning is a technique that uses neural networks. Andrew Ng, an engineer at Google, gives his explanation for why backpropagation failed to catch on. He explains why computers were slow, and why backpropagation didn't take off until now. Deep learning makes use of neural networks to store data, and this is the root cause of slow computers.

Machine learning

One form of artificial intelligence is machine learning. Deep learning is a subset that uses artificial neural networks to learn data. This model uses many layers and simple computational nodes, which comb through the data to deliver a final result in form of a prediction. Deep learning, on the other hand, uses more complex concepts than machine learning models. Here are some benefits of deeplearning:

Deep neural networks

Deep neural networks is a type of machine-learning algorithm. The underlying principle of neural networks is that they respond to changes in input by adjusting the weights and thresholds of individual layers. Deep learning can minimize errors and can continue to do this until they are eliminated completely. The final layer of a Deep Learning system performs a specific task. Essentially, this layer classes the input by applying the most likely label to it. It calculates the input weighted average and then passes it through a function nonlinear (also called activation function). This function allows the network the ability to make decisions regarding its output.

Unstructured data

Unstructured data can be huge in its raw form. In contrast, a credit card transaction generates just a few bytes of data, while a human genome can be over 200 GB. Data can come in a variety of formats, including images, point clouds, sequences and irregular meshes. Data can be multi-channel or non-tabular.

Bias in deep-learning algorithms

Machine learning algorithms generally are considered "blackboxes" that are impossible for humans to decipher. However, there is evidence to suggest that some bias can exist in the data used to train algorithms. These biases can be caused by a number of factors, including unrepresentative information. Hu's research aims at quantifying inequalities in deep learning algorithmics. Newer deep learning algorithms will also be more sensitive for relevant features.

Medical research: applications

While AI and machinelearning technologies have grown in popularity over the past few years, the Covid-19 Pandemic has changed the digital landscape. These disruptive technologies have benefited many industries, including healthcare. Deep learning is now a critical tool for patient monitoring and diagnostics. This article highlights the benefits that deep learning can bring to healthcare. The many benefits of deep learning for healthcare are numerous.

FAQ

Where did AI come?

Artificial intelligence began in 1950 when Alan Turing suggested a test for intelligent machines. He suggested that machines would be considered intelligent if they could fool people into believing they were speaking to another human.

John McCarthy later took up the idea and wrote an essay titled "Can Machines Think?" In 1956, McCarthy wrote an essay titled "Can Machines Think?" He described in it the problems that AI researchers face and proposed possible solutions.

How does AI work

An algorithm is a sequence of instructions that instructs a computer to solve a problem. An algorithm is a set of steps. Each step has an execution date. A computer executes each instruction sequentially until all conditions are met. This process repeats until the final result is achieved.

Let's suppose, for example that you want to find the square roots of 5. You could write down each number between 1-10 and calculate the square roots for each. Then, take the average. However, this isn't practical. You can write the following formula instead:

sqrt(x) x^0.5

You will need to square the input and divide it by 2 before multiplying by 0.5.

Computers follow the same principles. It takes your input, multiplies it with 0.5, divides it again, subtracts 1 then outputs the result.

What can AI do?

AI serves two primary purposes.

* Predictions - AI systems can accurately predict future events. For example, a self-driving car can use AI to identify traffic lights and stop at red ones.

* Decision making - AI systems can make decisions for us. As an example, your smartphone can recognize faces to suggest friends or make calls.

Is Alexa an Artificial Intelligence?

The answer is yes. But not quite yet.

Amazon developed Alexa, which is a cloud-based voice and messaging service. It allows users to communicate with their devices via voice.

The Echo smart speaker, which first featured Alexa technology, was released. Other companies have since used similar technologies to create their own versions.

These include Google Home as well as Apple's Siri and Microsoft Cortana.

What are some examples AI-related applications?

AI can be applied in many areas such as finance, healthcare manufacturing, transportation, energy and education. Here are a few examples.

• Finance - AI is already helping banks to detect fraud. AI can spot suspicious activity in transactions that exceed millions.
• Healthcare – AI is used in healthcare to detect cancerous cells and recommend treatment options.
• Manufacturing – Artificial Intelligence is used in factories for efficiency improvements and cost reductions.
• Transportation – Self-driving cars were successfully tested in California. They are currently being tested around the globe.
• Utilities are using AI to monitor power consumption patterns.
• Education - AI can be used to teach. For example, students can interact with robots via their smartphones.
• Government - AI is being used within governments to help track terrorists, criminals, and missing people.
• Law Enforcement-Ai is being used to assist police investigations. Investigators have the ability to search thousands of hours of CCTV footage in databases.
• Defense - AI is being used both offensively and defensively. In order to hack into enemy computer systems, AI systems could be used offensively. Artificial intelligence can also be used defensively to protect military bases from cyberattacks.

Statistics

• According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
• The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
• While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
• By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
• In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)

External Links

forbes.com

• The Machine Learning Platform is not a thing!
• Growing At 300% To $8.5 Billon, Betterment Fees, Tax Edge

hadoop.apache.org

• Apache Hadoop

mckinsey.com

• Survey: AI adoption shows its value, but has limited scale impact
• McKinsey's most recent AI survey reveals continued growth in usage and critical best practices.

medium.com

• 4 Robotic Process Automation (RPA) Applications in the Healthcare Industry
• Richard Craib

How To

How to get Alexa to talk while charging

Alexa is Amazon's virtual assistant. She can answer your questions, provide information and play music. And it can even hear you while you sleep -- all without having to pick up your phone!

You can ask Alexa anything. Just say "Alexa", followed by a question. Alexa will respond instantly with clear, understandable spoken answers. Plus, Alexa will learn over time and become smarter, so you can ask her new questions and get different answers every time.

You can also control connected devices such as lights, thermostats locks, cameras and more.

You can also tell Alexa to turn off the lights, adjust the temperature, check the game score, order a pizza, or even play your favorite song.

Alexa to Call While Charging

• Step 1. Step 1.

1. Open the Alexa App and tap the Menu icon (). Tap Settings.
2. Tap Advanced settings.
3. Select Speech Recognition
4. Select Yes, always listen.
5. Select Yes, wake word only.
6. Select Yes, and use the microphone.
7. Select No, do not use a mic.
8. Step 2. Set Up Your Voice Profile.

• Add a description to your voice profile.
• Step 3. Test Your Setup.

Say "Alexa" followed by a command.

For example: "Alexa, good morning."

Alexa will reply if she understands what you are asking. For example, John Smith would say "Good Morning!"

Alexa won't respond if she doesn't understand what you're asking.

• Step 4. Restart Alexa if Needed.

After making these changes, restart the device if needed.

Notice: If the speech recognition language is changed, the device may need to be restarted again.