How AI technology is changing,

Artificial Intelligence technology edges each and everyday technology is changing for development each sector. No sector is untouched by technologies. How technology is changing each day? If we consider the computing system when the first computer developed. That was the day the first step towards machine intelligence. Artificial Intelligence is the simulation of human intelligence which is programmed to think like humans behave and act like human action. Basically, AI is that technology which is programmed to work and it is applied to any machine which is associated with a human mind such as learning and giving solution to the problem

Discovery and Invention: 

AI journey starts from when computing calculation starts from computer to Supercomputer: AI-first time named by John McCarthy in 1956 in cybernetics workshop at Dartmouth Collage

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1956: The field of AI research was born at a workshop at Dartmouth College in 1956, where the term “Artificial Intelligence” was named by John McCarthy

1980: AI research was revived by the commercial success of expert systems, a form of AI program that simulated the knowledge and analytical skills of human experts.

1985: the market for AI had reached over a billion dollars

1997: Deep Blue became the first computer chess-playing system to beat a reigning world chess champion, Garry Kasparov, on 11 May 1997

2011, Jeopardy!  quiz show exhibition match, IBM’s question answering system, Watson defeated the two greatest Jeopardy! Champions.

2012 : The Kinect, which provides a 3D body–motion interface for the Xbox 360 and the Xbox One, uses algorithms that emerged from lengthy AI research as do intelligent personal assistants in smartphones.

2015 : According to Bloomberg’s Jack Clark, 2015 was a landmark year for artificial intelligence, with the number of software projects that use AI within Google increased from a “sporadic usage” 

 2020: Natural Language Processing systems such as the enormous GPT-3 (then by far the largest artificial neural network) were matching human performance on pre-existing benchmarks. Facial recognition advanced to where, under some circumstances, some systems claim to have a 99% accuracy rate.

Which programming language is best for artificial intelligence?

1. Python: AI projects differ from traditional software projects. The differences dwell on the technology stack, the talents required for an AI-based project, and therefore the necessity of deep research. Python offers concise and readable code. While complex algorithms and versatile workflows stand behind machine learning and AI, Python’s simplicity allows developers to write down reliable systems. Developers get to place all their effort into solving an ML problem rather than that specialize in the technical nuances of the language.

2. Prolog: Prolog may be a logic programing language related to AI and linguistics. Prolog is well-suited for specific tasks that enjoy rule-based logical queries like searching databases, voice control systems, and filling templates

3. LISP : LISP became a common language for artificial intelligence (AI) programming, partly owing to the confluence of LISP and AI work at MIT and partly because AI programs capable of “learning” might be written in LISP as self-modifying programs. LISP has evolved through numerous dialects, like Scheme and customary LISP.

4. Java : Java is an object-oriented programing language that produces software for multiple platforms. When a programmer writes a Java application, the compiled code (known as bytecode) runs on most operating systems (OS), including Windows, Linux and Mac OS. Java derives much of its syntax from the C and C++ programming languages.

5. C++ : C++ is a cross-platform language that can be used to create high-performance applications.

1. Reactive Machines: REACTIVE MACHINES

The most basic sorts of AI systems are purely reactive and have the power neither to make memories nor to use past experiences to tell current decisions.

2. Limited Memory: this sort II class contains machines that can check out the past. Self-driving cars do some of this already. For example, they observe other cars’ speed and direction. That can’t be wiped out in only one moment, but rather requires identifying specific objects and monitoring them over time.

3. Theory of Mind: the understanding that people, creatures, and objects in the world can have thoughts and emotions that affect their own behavior.

4. Self-Awareness: the ultimate step of AI development is to create systems that will form representations about themselves. Ultimately, we AI researchers will need to not only understand consciousness but build machines that have it.

How ai is reshaping marketing?

 Artificial Intelligence (AI) is nowadays booming or boosting the modern marketing business. Each stage of marketing needs a different type of data which is topmost essential for marketing. Every customer needs value. This technology makes smooth the system and reshaping the marketing to provide high enabled data-driven system.

Top AI companies in Business:

1 . Ascent: Ascent Robotics is an Artificial Intelligence company in Japan. This company makes Robots for the manufacturing industry. They make all third-generation AI robots that help in 360-degree automation.

2. Osaro: OSARO is a San Francisco-based manufacturing company that is focused on Artificial Intelligence for industrial automation. Osaro basically makes the system for advanced technology for the factories, warehouses, and logistics systems for the future generation.

3. Riskified : Maximize conversion and prevent fraud login and checkout. Prevent ATO (account takeover) attacks, stop bad actors from exploiting loyalty programs, and safeguard sales promotions. Protect customer data and your bottom line.

4. Nvidia : Nvidia is a group of company which is directly involved in innovation in data-driven technology with involvement of AI technology. From speech recognition and recommender systems to medical imaging and improved supply chain management, AI technology is providing enterprises the compute power, tools, and algorithms their teams got to do their life’s work. This company involved in Financial services, consumer internet, health care, higher education, retail, and the Public sector. and providing solutions of Data Analytics, Machine learning, Deep Learning Training, Deep Learning Interference, conversational AI.

5. Nuro: This company involved in driverless vehicles for the delivery of grocery items as well as food delivery system.A self-driving vehicle, but not just a driver-less vehicle — a passenger-less vehicle. A zero-occupant vehicle. Nuro’s R2 is going to be delivering Domino’s pizzas to pick customers in Houston.

6. Tempus : Tempus is making precision medicine a reality through the power and promise of data and artificial intelligence. With the world’s largest library of clinical and molecular data, and an operating system to make that data accessible and useful, Tempus enable physicians to make real-time, data-driven decisions to deliver personalized patient care, and in parallel, facilitate discovery, development, and delivery of optimized therapeutic options for patients through distinctive solution sets.

7. DataRobot : This company basically belong to Data Prep, added image augmentation to Visual AI

8. .Grammarly : At Grammarly, Every day, 30 million people and 30,000 teams around the world use Grammarly, an AI-powered product to strengthen their writing and say what they really mean. Grammarly writing assistant supports clean, mistake-free writing while offering suggestions that go way beyond grammar. Using a variety of innovative approaches — including advanced machine learning and deep learning.

AI and Robotics:

Artificial intelligence (AI) and robotics are a strong combination for automating tasks inside and out of doors of the factory setting. In recent years, AI has become an increasingly common presence in robotic solutions, introducing flexibility and learning capabilities in previously rigid applications.

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Advantage and Disadvantage:

1) Reduction in Human Error:

2) Takes risks instead of Humans:

3) Available 24×7

4) Helping in Repetitive Jobs

5) Digital Assistance

6) Faster Decisions

7) Daily Applications: Daily applications like Apple’s Siri, Window’s Cortana, Google’s OK Google are frequently utilized in our daily routine whether it’s for searching a location, taking a selfie, making a phone call, replying to a mail and many more.

8) New Inventions:

Disadvantage

1. High Costs of Creation:
2.  Making Humans Lazy:
3.  Unemployment:

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TOP  AI-Based App

1. SIRI: This SIRI AI-powered virtual assistant is available on major Apple platforms, e.g., iOS, iPad, macOS, watchOS, tvOS, and audios. Siri uses voice queries and a natural language user interface (UI) to function, and it can make calls, send text messages, answer questions, and offer recommendations. It delegates requests to several Internet services, moreover, Siri can adapt to users’ language, searches, and preferences.
2. Cortona: The virtual assistant from Microsoft. This AI-powered virtual assistant is available on Windows 10, Windows mobile, Invoke smart speaker, Microsoft Band, Android, iOS, Windows Mixed Reality (MR), Amazon Alexa, and Xbox One.
3. GOOGLE ASSISTANT: AI-enabled, the voice-powered virtual assistant from Google has made significant strides. It’s considered one of the more advanced virtual assistants.