BENEFITS WHICH MNC’s ARE GETTING FROM ARTIFICIAL INTELLIGENCE /MACHINE LEARNING .
Artificial intelligence is moving forward, and whether we like it or not, machine learning will play an essential role in our technological future. The largest and best companies in the world already know this, and they are investing heavily in AI.
What is Artificial Intelligence?
Artificial Intelligence or AI is a field of Data Science that trains computers to learn from experience( model ), adjust to inputs, and perform tasks of certain cognitive levels.
Usage of Artificial Intelligence
Over the last few years, AI has emerged as a significant data science function and, by utilizing advanced algorithms and computing power, AI is transforming the functional, operational, and strategic landscape of various business domains.
AI algorithms combine information from a variety of different sources, analyze the data instantly, and act on the insights derived from the data.
Most AI technologies — from advanced recommendation engines to self-driving cars — rely on diverse deep learning models. By utilizing these complex models, AI professionals are able to train computers to accomplish specific tasks by recognizing patterns in the data.
Artificial Intelligence Market Size by Company Type
The 15 most important AI companies in the world and how does they use AI and ML ?
Amazon
Alexa, the company’s AI language assistant, integrated into its echo speaker series, is well-known worldwide.
Apple
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 straight forward training courses for their apps.
Banjo
The start-up uses AI to search social media to identify real-time events and situations that could be critical for emergency services and other organizations to operate faster and smarter.
DJI
The latest drones use AI and image recognition to avoid objects. DJI has recently entered into a partnership with Microsoft for a drone-to-computer streaming project.
Facebook’s AI research group, known as FAIR, says it is committed to advancing the field of machine intelligence and developing new technologies to provide people with better ways to communicate.
Perhaps the largest and most important AI company on this list is also the most obvious. Google has acquired AI start-ups as if there were going to be no more soon. Over the past four years, Mountain View has created no fewer than twelve new artificial intelligence companies. The most important purchase was the $400 million deal for DeepMind, the board game playing Go champion.
HiSilicon
Huawei’s chip manufacturer, has significantly enhanced the second generation of the world’s first AI smartphone chip “Kirin 980”.The Kirin 980 can do things like face recognition, object recognition, image segmentation, and intelligent translation at high speed.
IBM
IBM has created a machine learning platform that can integrate AI into business processes, such as building a chatbot for customer support. Customers include Big Four Auditor, KPMG and Bradesco, one of Brazil’s largest banks.
Intel
Intel has also been on a shopping spree when it comes to artificial intelligence companies and has acquired both Nervana and Movidius as well as a selection of smaller AI start-ups. Nervana enables companies to develop specific deep learning software, while Movidius was founded to bring AI applications to devices with deficient performance. Intel is also working with Microsoft to provide AI acceleration for the Bing search engine.
Microsoft
Microsoft is involved in Artificial Intelligence on both the consumer and business sides. Cortana, Microsoft’s AI digital assistant, is in direct competition with Alexa, Siri, and Google Assistant. Artificial Intelligence features are a large part of the company’s Azure Cloud service, which provides chatbots and machine learning services to some of the biggest names in the business.
Nvidia
Nvidia’s graphics processors are the be-all and end-all for machine learning and artificial intelligence. The Delaware-based company is active in healthcare, higher education, retail, and robotics. With deep learning and GPU development, Nvidia is concerned with integrating AI into every level of the vehicle, manufacturing and autonomous driving.
OpenAI
The non-profit research group revolves around the development of AI for the benefit of all humankind and has managed to maintain its open source mentality
Qualcomm
Like HiSilicon with its Kirin 980, Qualcomm is another chip manufacturer that is committed to artificial intelligence. AI plays a crucial role in the Snapdragon 855 mobile platform. The chip uses a signal processor for AI speech, audio and image functions.
SenseTime
You heard about the Chinese government using face recognition to track citizens, right? Well, SenseTime is the current supplier of this technology. His research team is studying deep learning at the University of Hong Kong, and his image recognition technology is known to be way ahead of what Google and Facebook can do .
Twitter is likely to improve its systems for recommending specific tweets in users’ timelines with AI in the future.
Talking more about Nvidia ….
How exactly does AI benefit from GPUs over CPUs ?
The reason NVIDIA more than doubled its value as a company this year was based on its knowledge years ago that AI could and would need to leverage the superior floating point parallel computation of graphics processing units (GPUs), especially as they continue to grow in processing power.
GPUs and central processing units (CPUs) are measured in floating point operations per second (FLOPS). CPUs, such as Intel’s Core i9 Extreme Edition CPU, can perform a trillion FLOPS. That’s quite a bit for a CPU, but it’s nothing compared to the 112 teraflops that NVIDIA’s new GPU can produce.
GPUs have many more cores than CPUs, and they execute instructions in lockstep. CPUs have fewer cores, but they are of a higher quality and execute instructions independently of each other. Anything that can be processed in parallel, like machine learning algorithms, should be directed to the GPU by design. Applications like Microsoft Excel that are single threaded by design should be processed by the higher-quality single processor, which, in this case, resides in the CPU.
Did you notice that the frequency of AI news stories increased dramatically in 2016 and the first half of 2017?
There have been some interesting announcements about AI defeating human counterparts at games. The last two significant ones were Google’s DeepMind beating the world’s best Go player, and an OpenAI bot winning against the world’s best Dota 2 1v1 players. Dota 2 is a complicated e-sport video game where “agents must learn to plan, attack, trick, and deceive their opponents”
How NVIDIA become one of the top notch company of this generation.
NVIDIA powers U.S.-based Summit, the world’s fastest supercomputer, as well as the fastest systems in Europe and Japan. More than 130 supercomputers on the TOP500 list are accelerated by NVIDIA, including five of the top 10.
It gave the whole new era of computing .
In 2006, the creation of our CUDA programming model and Tesla GPU platform brought parallel processing to general-purpose computing. A powerful new approach to computing was born.
Now, the paths of high performance computing and AI innovation are converging.
From the world’s largest supercomputers to the vast datacenters that power the cloud, this new computing model is helping to answer complex questions, discover new science, and bring amazing capabilities to our mobile devices.
Now, the world’s largest industries — transportation, healthcare, logistics, manufacturing, robotics, smart cities, retail — are tapping into accelerated computing to bring AI to the edge.
Future market and use of Artificial Intelligence .
Increases in capital and labour are no longer driving the levels of economic growth the world has become accustomed to and desires.
Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future.
Marketers around the world are already reaping big returns on AI innovations. Whereas the AI software market generated revenues of $1.4 billion in 2016, Tractica estimates that it will hit $59.8 billion by 2025. AI may also contribute to global GDP growth of $15.7 trillion by 2030.
NVIDIA Invents AI Interactive Graphics
Real-Time Vechile Detection with 50 HD Frames/sec on an AMD GPU
A small research blog only to make all aware AI/ML now has been more important in our daily life .
I really appreciate that you are reading my post .
