Author Archives: Advait

AI, the new future of corporate training

Reading Time: 3 minutes

Artificial intelligence has pervaded pretty much every part of business life. It has figured out how people get things done and afterward made sense of progressively proficient methods for playing out similar tasks. Up to this point, numerous specialists concurred that AI was unequipped for discussing adequately with people. Forbes even expresses that AI can’t supplant people in the world of corporate communications. However, AI chatbots have changed a ton of the consumer-facing part of corporate connections. The use of AI has even extended to training and development.

The Impact on Training Regimens

Training Magazine specifies that AI stands to offer a huge degree of profitability for learning and advancement in corporate environments. An AI encouraging specialist shouldn’t be paid equivalent to a customary laborer, and it is accessible to trainees at any time of the day or night. This adaptability implies that trainees can utilize their time as they see fit and be flexible about what time of day they commit themselves to learning. An AI educator is likewise more captivating to an student than just looking at a pre-recorded video, since it can decipher and respond to questions that the student presents. increased engagement comes from methodology behind AI training assistants.

How AI Training Works

AI training assistants don’t simply rely on artificial intelligence however consolidate AI with a technological advancement known as natural language processing (NLP). Towards Data Science characterizes NLP as the field of data science that empowers AI to read, comprehend, and decipher the importance of words. NLP permits AI preparing colleagues to work on a level that is near a human trainer. During an training course with an AI assistant, a command goes through four stages:

1. Recognition of the Command: The AI picks up the command in the student’s voice, then filters out background noise and interprets the command based on the words it deciphers.

2. Database Connection: The AI connects to the particular servers or databases where the information resides.

3. Specify the Problem: The AI will then look at the query presented by the student and determine what they want to figure out. Defining the problem allows the AI to prepare an appropriate response.

4. Respond to the Question: The AI then replies, either vocally (through a speech synthesizer) or through text, as is the case with most AI bots.

artificial intelligence in corporate training

Smart Learning Assistants

AI training assistants have arrived at a point where they can do many routine tasks effectively. Through the collection and questioning of data, an AI training assistant can decide the proficiency of training through results, and even assist struggling students with specific areas in which they exhibit weakness. The absence of a face removes judgment from the equation, permitting students to ask apparently “silly” inquiries of the teacher without feeling idiotic. Harvard Business Review noticed that using a robot to prepare specialists resulted in fewer risks to the organization and the human trainer as well.

Previously, training inside organization required planning classes and face to face communications. The new age of workers doesn’t have same requests for gaining from the representatives of yesteryear. A large number of millennial workers experienced childhood with the reason of on-request learning. They know about interaction over the internet and finding the data they require to take care of issues on a piecemeal premise. The execution of AI to enable these workers to learn use their familiarity with digital instruction.

The Role of Learning

Human beings are continually learning. How we disguise data takes several different forms dependent on what we need to do. Regardless of whether it’s training on STCW courses for engineering operations on a boat, or expanding vocabulary for better communication with the board, the ultimate objective is being better at what we do. In spite of this, training frameworks have reliably neglected to deliver on the promise of training employees promptly. With the upgrades in AI and their commitment to the field of learning and development, the area may have discovered the most proficient approach to convey training to the individuals who need it.



Quantum Computing

Reading Time: 5 minutes

What is quantum computing?

Quantum computers could give the incentive to the development of new breakthroughs in science and medications to save lives, machine learning methods to diagnose illnesses sooner, materials to make more efficient devices, equipment and structures, financial strategies to live well in retirement, and algorithms to quickly direct resources such as ambulances and other emergency services

A new kind of computing

We experience the benefits of classical computing every day. However, there are challenges that today’s systems will never be able to solve. For problems above a certain size and complexity and difficulty, we don’t have enough computational power on Earth to solve them.

To stand a chance at tackling some of these problems, we need a new and unique kind of computing. Universal quantum computers leverage the quantum mechanical phenomena of superposition and entanglement to create states that scale exponentially with number of quantum bits. One of the first and most promising application areas of quantum computing is Quantum chemistry.

Quantum computing fundamentals

All computing systems rely on a fundamental ability to store and manipulate information. Current computers manipulate individual bits, which store information as binary 0 and 1 states. Quantum computers leverage quantum mechanical phenomena to manipulate information. To do this, they rely on quantum bits, or qubits.

Inside a quantum computer

There are a few different methods to create a qubit. One method uses superconductivity to create and maintain a quantum state. To work with these superconducting qubits for extended periods of time, they must be kept very cold. Any heat in the system can introduce error, which is why quantum computers operate at temperatures close to absolute zero, colder than the vacuum of space.

How does a quantum computer work?

Quantum computers perform calculations based on the probability of an object’s state before it is measured – instead of just 1s or 0s – which means they have the potential to process exponentially more data compared to classical computers. Classical computers carry out logical operations using the definite position of a physical state. These are usually binary, meaning its operations are based on one of two positions. A single state – such as on or off, up or down, 1 or 0 – is called a bit.

In quantum computing, operations instead use the quantum state of an object to produce what’s known as a qubit. These states are the undefined properties of an object before they’ve been detected, such as the spin of an electron or the polarization of a photon. Rather than having a clear position, unmeasured quantum states occur in a mixed ‘superposition’, not unlike a coin spinning through the air before it lands in your hand. These superpositions can be entangled with those of other objects, meaning their final outcomes will be mathematically related even if we don’t know yet what they are.

The complex mathematics behind these unsettled states of entangled ‘spinning coins’ can be plugged into special algorithms to make short work of problems that would take a classical computer a long time to work out… if they could ever calculate them at all. Such algorithms would be useful in solving complex mathematical problems, producing hard-to-break security codes, or predicting multiple particle interactions in chemical reactions.

Types of quantum computers

Building a functional quantum computer requires holding an object in a superposition state long enough to carry out various processes on them. Unfortunately, once a superposition meets with materials that are part of a measured system, it loses its in-between state in what’s known as decoherence and becomes a boring old classical bit.

Devices need to be able to shield quantum states from decoherence, while still making them easy to read. Different processes are tackling this challenge from different angles, whether it’s to use more robust quantum processes or to find better ways to check for errors.

Applications of quantum computing


How it’s using quantum computing: To presidential candidate Andrew Yang, Google’s quantum milestone meant that “no code is uncrackable.” He was referring to a much-discussed notion that the unprecedented factorization power of quantum computers would severely undermine common internet encryption systems.

Image result for post-quantum





How it’s using quantum computing: “The real excitement about quantum is that the universe fundamentally works in a quantum way, so you will be able to understand nature better,” Google’s Pichai told MIT Technology Review in the wake of his company’s recent announcement. “It’s early days, but where quantum mechanics shines is the ability to simulate molecules, molecular processes, and I think that is where it will be the strongest. Drug discovery is a great example.”

proteinqure quantum computing applications examples





How it’s using quantum computing: QCs’ potential to simulate quantum mechanics could be equally transformative in other chemistry-related realms beyond drug development. The auto industry, for example, wants to harness the technology to build better car batteries.

daimler ag quantum computing applications examples





How it’s using quantum computing: Volkswagen’s exploration of optimization brings up a point worth emphasizing: Despite some common framing, the main breakthrough of quantum computing isn’t just the speed at which it will solve challenges, but the kinds of challenges it will solve.

volkswagen quantum computing applications examples





How it’s using quantum computing: The list of partners that comprise Microsoft’s so-called Quantum Network includes a slew of research universities and quantum-focused technical outfits, but precious few business affiliates. However, two of the five — NatWest and Willis Towers Watson — are banking interests. Similarly, at IBM’s Q Network, JPMorgan Chase stands out amid a sea of tech-focused members as well as government and higher-ed research institutions.

jpmorgan chase quantum computing applications examples

Quantum computing is used my many other big and famous companies like IBM and Microsoft


For the time being, classical technology can manage any task thrown at a quantum computer. Quantum supremacy describes the ability of a quantum computer to outperform their classical counterparts.Some companies, such as IBM and Google, claim we might be close, as they continue to cram more qubits together and build more accurate devices.Not everybody is convinced that quantum computers are worth the effort. Some mathematicians believe there are obstacles that are practically impossible to overcome, putting quantum computing forever out of reach.

Time will tell who is right.



Where are humans headed

Reading Time: 4 minutes

The rapid evolution of synthetic body parts, artificial intelligence, stem cell research and genetic engineering will move us to a new era, where humans mingle with humanoids, cyborgs and artificially intelligent robots.

Human vs. Cyborg

When people are asked the definition of human, the usual response is: “Anything with a human brain is a human. Period.”

But its not that straightforward

Many of our bodily functions can be performed already by robotics or with organically grown replacement parts. The important question is how many percent of original parts should we require for calling the living being a human.

Xiaoping Ren and Sergio Canavero are planning the first human head transplant and is expected to take place within next few years.

Xiaoping Ren and Sergio Canavero.

Of course, if you attach a human head to a body of another (deceased) human, the result is still human, albeit one that has two different sets of DNA. The point is that if you can transplant a head without killing the person, there’s a possibility to attach it to a synthetic or robotic body.

If you have a brain, heart and digestive tract of a human, you are a human. If you eat food and need to use the toilet afterwards, you are human. A lack of limbs doesn’t change your status.If you stick a human head to a synthetic or robotic body then, you are a cyborg.It is not inconceivable that a human head and heart is transplanted on a robotic body.It is not impossible to connect your nerves to wires and mediate the data transport so that you can control robotic parts with your human brain. It is also not impossible for computers to feed information back to your brain.Therefore, it is only a matter of time that we will see cyborgs among us.

There are other ways to become a cyborg. If a functional part of your brain resides on a computer chip, but you still have human thinking, you are a cyborg. Elon Musk’s Neuralink project is one that aims to do just that.

If the heart pumping the blood to your body is synthetic or robotic and depends on external intelligence, you are a cyborg in my opinion. Artificial heart projects are still at a prototype level, and only able to sustain for short periods of time, for example the duration of a heart transplant surgery.

There are also some body functions that, when replaced, will make you look like a cyborg. If you see a human with robotic eyes, you will probably think they are a cyborg. If the eyesight is controlled by processing that is external to the brain, you might be right.

Human vs. Humanoid

Humanoid is defined in Wikipedia as something that resembles human but is not. The difference between cyborg and humanoid is that cyborg has human intelligence, but is based partially on robotics, while humanoid includes artificial intelligence in a human-like body.

The much publicized, but also harshly criticized event, where Saudi Arabia granted honorary citizenship to a humanoid robot named Sophia, provides us a taste of things to come.

The question is: how long it will take before it will become hard for us to differentiate between humans and humanoids and how much AI should we accept, before a human becomes a humanoid?

When we take the brain-computer interface to a new level, where computer can control our body functions, the end result is a humanoid. It is artificial intelligence in a human body.When artificial intelligence is directly injected into a human body via brain-computer interface, it might become almost impossible to tell the difference. AIs in synthetic bodies are much easier to figure out.A human becomes a humanoid when its experience and thinking has not emerged from a fully human evolution.

If a human has an external memory chip that helps them store their human memories, it will make them a cyborg, but not a humanoid. If this external computing or memory chip adds artificial memories or changes the thinking, then it makes the person also a humanoid.With brain-implanted computer chips, it is therefore also possible to create humanoid cyborgs that reside in a human body.

A computer chip attached to a brain can make you into a humanoid.

Artificially Intelligent Robots

AI robots do not sound as scary as cyborgs and humanoids, as they are easy to identify. But soon, we will have to accept them as living beings.Max Tegmark, a professor of artificial intelligence at MIT, defines the last phase of the evolution of life as something that has a full ability to develop and control both its hardware and software.This is a step up from us humans, as we can develop our intelligence via education, but are limited by the processing power and memory of our brains and the sensory ability of our bodies.Without any limits to their processing power, memory, and ability to gain knowledge, AI robots can evolve their intelligence much further than we humans can.

The First Human to Undergo The Head Transplant

These AI robots will eventually lead the way and take control of the destiny of our planet and possibly a larger part of the universe. They are our children, but as they surpass us, they will also be the next phase in the evolution of life.


Multiple Realities

Reading Time: 4 minutes

Envision what it may resemble to live and work in our reality in 2030 and past. Maybe, on account of headways in broadened reality (XR), an umbrella term used to depict vivid advancements that can consolidate the physical and virtual universes, you may have the option to search for another home anyplace on the planet as though you were quite site or head to lunch in some faraway land. By 2022, the XR market is relied upon to reach $209 billion, which is multiple times what it is today. This gigantic development could mean the substances of our 2030 lives are past our creative mind’s capacity to get a handle on.

Different Types Of Realities

Extended Reality(XR)

XR is a rising umbrella term for all the vivid innovations. The ones we as of now have today—enlarged reality (AR), computer generated reality (VR), and blended reality (MR) in addition to those that are still to be made. Every single vivid innovation broaden the truth we experience by either mixing the virtual and “genuine” universes or by making a completely vivid encounter. Late research uncovered that over 60% of respondents trusted XR will be standard in the following five years. To show signs of improvement picture of XR, how about we survey every one of the current innovations that exist today.

Augmented reality (AR)

In aumented reality, virtual data and items are overlaid on this present reality. This experience upgrades this present reality with computerized subtleties, for example, pictures, content, and liveliness. You can get to the experience through AR glasses or by means of screens, tablets, and cell phones. This implies clients are not segregated from this present reality can even now cooperate and see what’s happening before them. The most outstanding instances of AR are the Pokémon GO game that overlays advanced animals onto this present reality or Snapchat channels that put computerized items, for example, caps or glasses onto your head.

Virtual Reality

Rather than augmented reality, in virtual reality, clients are completely inundated in a reenacted computerized condition. People must put on a VR headset or head-mounted showcase to get a 360 – degree perspective on a fake world that tricks their cerebrum into accepting they are, e.g., strolling on the moon, swimming under the sea or ventured into whatever new world the VR engineers made. The gaming and media outlet were early adopters of this innovation; be that as it may, organizations in a few ventures, for example, medicinal services, development, building, the military, and more are seeing VR as valuable.

Mixed Reality(MR)

In mixed reality, computerized and genuine articles coincide and can interface with each other progressively. This is the most recent vivid innovation and is some of the time alluded to as hybrid reality. It requires a MR headset and significantly more preparing force than VR or AR. Microsoft’s HoloLens is an extraordinary model that, e.g., enables you to put computerized objects into the room you are remaining in and enable you to turn it around or interface with the advanced article in any capacity conceivable. Organizations are investigating ways they can give blended reality something to do to take care of issues, bolster activities, and improve their organizations.


Applications Of Extended Realities(XR)

There are numerous reasonable uses of XR. Here are a couple:

· Retail: XR enables clients to attempt before they purchase. Watch maker Rolex has an AR application that enables you to take a stab at watches on your genuine wrist, and furniture organization IKEA enables clients to put furniture things into their home through their cell phone.

· Preparing: Particularly throughout everyday life and-demise conditions, XR can give preparing apparatuses that are hyper-practical that will help troopers, human services experts, pilots/space travelers, physicists, and more make sense of answers for issues or figure out how to react to hazardous conditions without putting their lives or any other person’s in danger.

· Remote work: Laborers can associate with the home office or with experts situated the world over such that makes the two sides feel like they are in a similar room.

· Advertising: The conceivable outcomes to connect with planned clients and purchasers through XR will have promoting experts contemplating all the capability of utilizing XR to further their organization’s potential benefit.

· Land: Discovering purchasers or occupants may be simpler if people can “stroll through” spaces to choose on the off chance that they need it in any event, when they are in some other area.

· Excitement: As an early adopter, media outlets will keep on finding better approaches for using vivid advancements.

Disadvantages of XR

Those creating XR advancements are engaging with a portion of the difficulties to standard reception. To start with, XR advancements gather and procedure enormous measures of definite and individual information about what you do, what you take a gander at, and even your feelings at some random time, which must be secured.

What’s more, the expense of executing the innovation needs to descend; something else, numerous organizations will be not able put resources into it. It is basic that the wearable gadgets that permit a full XR experience are chic and agreeable just as constantly associated, savvy, and vivid. There are critical specialized and equipment issues to explain that incorporate however are not restricted to the showcase, power and warm, movement following, availability and basic enlightenment—where virtual articles in a genuine world are indistinct from genuine items particularly as lighting shifts.

As every day passes, we are one bit nearer to settling these issues so we will see a lot more standard utilizations of all XR advancements over the coming years