by Teknita Team | Dec 23, 2022 | Artificial Intelligence - Machine Learning, Uncategorized
Artificial neural networks and related deep learning are conquering other areas of the industry.
It underpins most deep learning models. As a result, deep learning may sometimes be referred to as deep neural learning or deep neural networking. The use of networks built of artificial neurons allows to create software that imitates the work of the human brain, which translates into an increase in the efficiency of business processes and companies.
The Neural Network is constructed from 3 type of layers:
- Input layer — initial data for the neural network.
- Hidden layers — intermediate layer between input and output layer and place where all the computation is done.
- Output layer — produce the result for given inputs.
The input layer is used to retrieve data and pass it on to the first hidden layer.
In hidden layers, calculations are performed, as well as the learning process itself.
The output layer calculates the output values obtained from the entire network, and then sends the obtained results to the outside.
Each node has a weight and a threshold – when the threshold value exceeds the allowable value, it activates and sends data to the next layer. Neural networks need training data from which they learn to function properly. As they receive more data, they can improve their performance.
Neural networks come in several different forms, including recurrent neural networks, convolutional neural networks, artificial neural networks and feedforward neural networks, and each has benefits for specific use cases. However, they all function in somewhat similar ways — by feeding data in and letting the model figure out for itself whether it has made the right interpretation or decision about a given data element.
Neural networks involve a trial-and-error process, so they need massive amounts of data on which to train. It’s no coincidence neural networks became popular only after most enterprises embraced big data analytics and accumulated large stores of data. Because the model’s first few iterations involve somewhat educated guesses on the contents of an image or parts of speech, the data used during the training stage must be labeled so the model can see if its guess was accurate. This means, though many enterprises that use big data have large amounts of data, unstructured data is less helpful. Unstructured data can only be analyzed by a deep learning model once it has been trained and reaches an acceptable level of accuracy, but deep learning models can’t train on unstructured data.
Deep learning will be developed, and deep neural networks will find application in completely new areas. It is already predicted that they can be used in driving autonomous cars or in the entertainment sector to analyze the behavior of users of a streaming service, or add sound to silent movies.
You can read more about Artificial Neural Network here.
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by Teknita Team | Dec 20, 2022 | Uncategorized
The ear is one of the few parts of the body that remains relatively unchanged over our lifetime, making it a useful alternative to facial or fingerprint authentication technologies. This part of the body is unique to each person in the same way as a fingerprints. According to the researchers, even among identical twins, the shape of the ear is unique enough to still serve as a protection. An additional benefit is that, apart from the earlobe falling over time, the inside of the earlobe does not age as much over the years as our face.
The ear recognition software works similarly to face recognition. When a person gets a new phone, they have to register their fingerprint or face for the phone to recognize them. New devices often require users to place their fingers repeatedly over the sensor to get a full “picture” of their fingerprint. And face-recognition technology relies on users moving their faces in certain ways in front of their camera for the device to effectively capture their facial features. The ear recognition algorithm will work the same way.
While setting up a biometric device, the algorithm takes multiple samples of a person’s identity, such as facial images or fingerprints, and logs them into the device. When you go to unlock your device using a biometric, it takes a live sample to compare it to the logs on the device, such as a picture of your face or in this case, a picture of your ear.
Bourlai’s software uses an ear recognition algorithm to evaluate ear scans and determine if they are suitable for automated matching. He employed a variety of ear datasets with a wide range of ear poses to test the software.
The software that Professor Thirimachos Bourlai and his team are working on, has been tested on two large sets of ear images with accuracy of up to 97.25% of the time.
Ear recognition software could be used to enhance existing security systems, such as those used at airports around the world, and camera-based security systems, Bourlai said. His team also plans to enhance their proposed ear recognition algorithm to work well with thermal images as well to account for darker environments where it might be difficult to capture clear visible band images using conventional cameras.
You can read more about Ear Authentication Technology here.
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by Teknita Team | Dec 16, 2022 | Artificial Intelligence - Machine Learning, Uncategorized
DoNotPay, the company that offers the “world’s first robot lawyer,” has announced a new AI-powered chatbot that will help you negotiate bills, unsubscribe, and more.
The latest tool from DoNotPay can have a back-and-forth conversation with a company’s customer service representative through live chat or email.
In a demo of the tool posted by DoNotPay CEO Joshua Browder, the chatbot manages to get a discount on a Comcast internet bill through Xfinity’s live chat. Once it connects with a customer service representative, the bot asks for a better rate using account details provided by the customer. The chatbot cites problems with Xfinity’s services and threatens to take legal action, to which the representative responds by offering to take $10 off the customer’s monthly internet bill.
This tool builds upon the many neat services DoNotPay already offers, which mainly allows customers can generate and submit templates to various entities, helping them to file complaints, cancel subscriptions, fight parking tickets, and much more. It even uses machine learning to highlight the most important parts of a terms of service agreement and helps customers shield their photos from facial recognition searches. But this is the first time DoNotPay’s using an AI chatbot to interact with a representative in real time.
DoNotPay’s bot issues convincingly human-like answers throughout the entire interaction with Xfinity, save for a hiccup where the tool says “[insert email address]” instead of providing the customer’s actual email. Browder tells The Verge that DoNotPay will clean up some of its responses before it goes live — and make the bot sound less polite, as it’s pretty heavy on the “thank-yous.”
DoNotPay’s bot is built on top of OpenAI’s GPT-3 API, the underlying toolset used by OpenAI’s ChatGPT chatbot that tons of people have been playing around with to generate detailed (and sometimes nonsensical) responses. DoNotPay’s tool is made for a specific purpose, though, and Browder seems to view it as an opportunity to expand the number of tasks it can tackle, like chatting with a representative to cancel a customer’s subscription or negotiating a credit report.
If the chatbot doesn’t know an answer to a particular question, Browder says it won’t start making things up. “It will just stop in its tracks and ask the user for help” when it’s unsure, Browder explains. The company’s working on ways to alert users whenever this happens so that they don’t have to sit in front of their computer and monitor the tool. Browder tells The Verge that users could eventually respond to the AI’s questions over text message so that it can continue its “conversation.”
You can read more about DoNotPay chatbox here.
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by Teknita Team | Dec 14, 2022 | Artificial Intelligence - Machine Learning, Uncategorized
By building CICERO, Meta AI has created the first AI agent to achieve human-level performance in the complex natural language strategy game Diplomacy. CICERO demonstrated this by playing with humans on webDiplomacy.net, an online version of the game, where CICERO achieved more than double the average score of the human players and ranked in the top 10% of participants who played more than one game. The AI sent 5,277 messages to players in 72 hours of gameplay, and almost no one realized that they weren’t communicating with a human. Only one person expressed some suspicion, that one of the AI accounts is a bot.
This breakthrough rests in the achievement of combining two different areas of AI: strategic reasoning and natural language processing. The integration of these techniques gives CICERO the ability to reason and strategize with regard to players’ motivations, then use natural language to communicate, reach agreements to achieve shared objectives, form alliances and coordinate plans.
The Cicero is only able to play Diplomacy, but the technology behind it is relevant to many other applications. Current AI assistants can perform simple question-and-answer tasks, such as providing information about the weather, but with the further development of artificial intelligence, according to Meta AI specialists, they could even conduct long conversations to teach someone a new skill.
You can read more about Cicero here.
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by Teknita Team | Dec 12, 2022 | Artificial Intelligence - Machine Learning, Uncategorized
The British artificial intelligence company – DeepMind – has created an AI tool that helps in writing the script – it will generate character descriptions, plot points, as well as dialogue and location descriptions. Artificial intelligence has certainly helped many people become an “artist”, and with the help of a new tool designed by DeepMind, it will also support aspiring screenwriters.
Dramatron is a system that uses large language models that could be useful for authors for co-writing theatre scripts and screenplays. Dramatron uses hierarchical story generation for consistency across the generated text. Starting from a log line, Dramatron interactively generates character descriptions, plot points, location descriptions and dialogue. These generations provide human authors with material for compilation, editing, and rewriting.
To assess the usability and capabilities of Dramatron, DeepMind engaged 15 playwrights and screenwriters for two-hour research sessions with users to co-create scenarios with the tool. Respondents suggested that it would be useful for world building and would help them test other approaches in terms of changing plot elements or characters. They also noted that AI can be a great way to “generate creative ideas.”
What about copyright?
Using Dramatron may raise questions about authorship. Last year, a UK appeals court ruled that artificial intelligence could not legally be considered an inventor and patented. DeepMind points out that Dramatron may display snippets of text that were used to train the language model, which, if used in a produced script, could lead to accusations of plagiarism. Therefore, it is always worth checking the generated scenario carefully in this respect.
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by Teknita Team | Dec 9, 2022 | Uncategorized
Picking the right business laptop is not as easy as one could think. You can find hundreds of business-oriented laptops to choose from — everything from sleek ultralight tablets to huge portable workstations. It all depends on your business needs.
What to look for in a business laptop?
Whether it’s a two-pound ultralight or an eight-pound traveling workstation, all laptops are basically desktop computers with built-in screens, keyboards, miniaturized components, and batteries. Without a doubt, the processor and the system’s size and weight get the most attention, but other areas like the screen and battery should also be considered.
Processor
Most Windows systems use Intel or AMD processors, although a small number of ARM-based CPUs are being used in ultralight systems. Apple has taken this idea to its logical conclusion with its M1 and M2 MacBooks.
The minimum processor you’ll need to satisfy users varies widely and depends on the tasks at hand. A receptionist or call center worker might need nothing more than an Intel Celeron or Pentium, while a salesperson might need an Intel Core i3 or i5 and a graphics designer an i7 or an M2 Pro.
RAM
Random Access Memory (RAM) is short-term data storage used for immediate processing tasks such as displaying websites, running Excel calculations, or showing CAD imaging. It comes in many sizes and speeds, and having more generally translates into better performance. 4GB should be the bare minimum for any business computer, even for buyers on a strict budget. 16GB is better for typical office workers — and the more RAM you get, the happier your users will be.
Storage
Every laptop needs a place to stash everything from the day’s emails to huge video files — either a traditional hard drive (HDD) or a solid-state drive (SSD). SSDs remain more expensive but are faster and more rugged, use less power, and are dominating new laptop models. Look for at least a 128GB SSD or a 1TB HDD.
Battery
Meant to power the system between charges, all notebooks use lithium-ion batteries. All other things being equal, a 3,500 miliamp-hour (mAh) capacity powerpack will likely run for longer than one with 3,000mAh. This could pay dividends on a flight from Seattle to Seoul.
Screen and form factor
While a tablet might get by with an 11.5-in. display (measured diagonally), 13.3- to 16-in. screens are the norm for laptops, with some models going up to 17.3 in. Look for a screen with the highest resolution as you can afford, particularly if the intended purpose is graphics oriented. Today, for all but the cheapest systems, full HD resolution (1920 x 1080) should be the minimum.
Many of Chromebooks and Windows laptops include a touchscreen. A touchscreen can be a big benefit for a designer sketching products, a marketer highlighting a new campaign, or even a salesperson drawing a crude map. There are also many tablet/laptop hybrids with touchscreens, which we’ve covered in their own section of this guide. It’s worth noting that Apple does not offer touchscreens on any MacBooks but does on its iPad Pro.
Security and manageability components
Security is critical in today’s business. Companies that use Windows PCs should get systems with a Trusted Platform Module (TPM) and some sort of biometric authentication method, such as a fingerprint reader or a camera capable of facial recognition for secure password-free logins. Many Chromebooks include a TPM and fingerprint readers as well. Macs lack TPM but have their own defensive phalanx, including fingerprint scanners.
Business-oriented laptops should also support serious manageability features, so IT departments can remotely diagnose and update a system.
Operating system
For optimal security and manageability, most IT departments opt for laptops running at least Windows 10 or 11 Pro. These systems add protections that the Windows Home editions lack, such as BitLocker drive encryption, and support management and deployment tools such as Mobile Device Management, Azure Active Directory Join, and Windows Update for Business. Organizations that need enterprise-class security and manageability can opt for Windows 10 or 11 Enterprise.
Apple’s macOS platform has strong security and enterprise manageability features, and today’s unified endpoint management (UEM) systems can manage macOS devices in addition to Windows PCs. Most popular business apps offer versions for macOS, although companies that use legacy Windows-only programs should be prepared to invest in virtual machine (VM) software from Parallels or VMware to allow Mac users to run them.
Most UEM platforms can manage ChromeOS devices as well, or companies can deploy and manage Chromebooks through the Google Admin console. Any web app that runs in the Chrome browser works fine on a Chromebook, and the Google Chrome Web Store’s vetting of apps makes ChromeOS devices less susceptible to picking up rogue software that can infect the enterprise. Today’s Chromebooks can also run both Android and Linux apps — and, using Parallels VM software, they can even run Windows apps.
Accessories
Whether it’s at the office, on the factory floor, or on the road, a laptop on its own is never enough. Plan on spending hundreds to properly equip a system with things like a USB hub (to turn a single port into three or four), an extra power adapter (for home and away work), and a padded bag (to protect it en route).
To those who say that workers can get by with whatever they are given, you might find that with the right tools, workers can be more productive, happier, and better at their job. Just ask yourself if your competition is using anything but the best available technology.
Above all else, a business notebook should fit the user’s needs, not the other way around. There’s no sense in providing an 8-lb. mobile workstation to a traveling salesperson or a budget laptop to a video producer.
You can read more about business laptops mush-have here.
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