Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space.

In the midst of the ongoing pandemic, several companies are working to further develop their artificial intelligence technologies, known as AI, to aid in a variety of different fields. Through the pandemic, companies have rapidly moved their employees to remote work to avoid contact and reduce the spread of the virus. This move has spurred on the development of AI technologies as an aid to human workers. The pursuit of AI technology covers a wide range of applications, from deep data analytics to more effective agriculture. While the AI of science fiction movies is yet to be seen, the technology has progressed in leaps and bounds in recent years.

New York, United States, Sat, 29 Feb 2020 00:27:27 / Comserve Inc. / -- The business-related trends driving the product consumption are discussed in detail in the report along with industry expertise to minimize the barriers to Artificial Intelligence Insight Series Market growth The application of Artificial Intelligence (NYSE:AI) is growing exponentially. This rapid expansion of AI software development, therefore, calls for a focused effort to build new hardware that can process the emerging AI algorithms. Future of AI hardware will be defined by biologically-inspired neuromorphic chipsets, which provide a real time boost for AI systems. Brain-like chips deliver natural intelligence in major AI applications in the long-term, and have the desirable characteristics of intelligent sensors. The ultimate aim is to develop process technologies, materials, memories, and other building blocks for the integration of the neuron chips into sensors.

The information age (the period starting in the year 2000) could not have gotten off to a better start. Digital platforms have become pivotal in gathering market information including consumer behavior and new shopping trends. Alphabet Inc. (NASDAQ:GOOG)(NASDAQ:GOOGL)'s Google has become smarter, Facebook Inc. (NASDAQ:FB) and Twitter Inc. (NYSE:TWTR) have disrupted social media and Amazon.com Inc. (NASDAQ:AMZN)'s shopping search engine has grown to top Google search. To capitalize on the data obtained from users of the internet including from the platforms mentioned above, businesses have employed the use of big data tools and artificial intelligence to convert the data into useful information.

Advanced Micro Devices (NASDAQ:AMD) is rallying as the company unveiled the world's first 7nm graphics processing unit (GPU) alongside the new 32 core Ryzen Threadripper processor at Computex Tapai 2018 through a live stream yesterday. The next generation Vega GPU products will be based on GlobalFoundries' 7nm technology and are expected to be launched during the second half of 2018. The new 32 core Threadripper CPU, however, will be based on a 12nm process technology and is set to debut during the third quarter of 2018. Furthermore, AMD continues to make strides on the server side as it will start sampling the 7nm EPYC – processors targeting data centers and servers – during the second half of 2018. "At Computex 2018 we demonstrated how the strongest CPU and GPU product portfolio in the industry gets even stronger in the coming months," said AMD President and CEO Dr. Lisa Su in a press release.

It was almost a flat year for Intel (NASDAQ:INTC) in 2016, as the stock was up roughly 5% over the year. In comparison, most of the Intel's competitors such as Advanced Micro Devices (AMD), Qualcomm (QCOM) and NVIDIA (NVDA) delivered huge returns to stockholders. However, that does not means Intel is out of the game, as it still holds 80% market share in the worldwide microprocessor market mainly due to its leading position in the PC industry. The company has been generating huge profits by selling high-end desktop processing chips to data centers. It is highly likely that CPUs will continue to see reasonable growth in data centers, as the company requires huge computation power to make use of the big data they have gathered. According to marketsandmarkets.com, the data center market is projected to reach $32.30 billion by 2020 from $18.56 billion in 2015, which represents a compound annual growth rate of 11.7%.

NVIDIA's (NASDAQ:NVDA) quarterly revenues have been surging at double-digit rates in the last three quarters and, looking at the guidance for the next quarter, it's clear that the company is expecting the growth rate to continue unabated in the near future. One of the key factors that has added fuel to their engines is NVIDIA's new growth drivers: the data center segment and auto segment. In the most recent quarter, NVIDIA's data center unit reported 151 million in sales, a growth of 109.72% The growth in data center revenues is much higher than other segments, and there are several reasons why this growth can, in fact, continue its breakneck pace for several more quarters. NVIDIA's expertise in the GPU segment has given it a range of must-have products for hyperscale data centers.

One of the biggest reasons for NVIDIA AAAs ( NVDA) explosive growth in the last few quarters has been the companyAAAs datacenter and auto segments posting solid gains. The additional revenue NVIDIA was able to earn out of these two segments propelled the company to post over 20% growth for the quarter. But where is that growth coming from and how does NVIDIA stand to gain from an evolving tech landscape? To understand that, we need to look into artificial intelligence as a viable industry segment. In an earlier article called " NVIDIA: Where Will Real Growth Originate," I covered a different side of its future growth drivers.

In 1995, Bill Gates ( Trades, Portfolio) wrote the AAAInternet Tidal WaveAAA memo outlining how the Internet would affect Microsoft ( MSFT). Following GatesAAA example, current Microsoft CEO Satya Nadella published an article outlining artificial intelligenceAAAs significance for society on Tuesday. He discussed the opportunities and challenges ahead emphasizing that his vision is for A.I. and humans to work collaboratively and not in opposition to one another. GuruFocus has detected 9 Warning Signs with GLPI. Click here to check it out.

In 1995, Bill Gates ( Trades, Portfolio) wrote the AAAInternet Tidal WaveAAA memo outlining how the Internet would affect Microsoft ( MSFT). Following GatesAAA example, current Microsoft CEO Satya Nadella published an article outlining artificial intelligenceAAAs significance for society on Tuesday. He discussed the opportunities and challenges ahead emphasizing that his vision is for A.I. and humans to work collaboratively and not in opposition to one another. GuruFocus has detected 10 Warning Signs with MSFT. Click here to check it out.