Artificial Intelligence is a branch of Computer Science and it was pursued because the computers, programs and machines were made intelligent or to think like humans. Over time, AI or Artificial Intelligence practices, intend to design software systems that mimic or display some form of human intelligence. These techniques have been engaged to aid or computerize many different actions and activities in software engineering. Hence the attempt to make or create a computer, a software or a robot to think and act like human beings or to behave intelligent. As just as the brain, thinks, observes, perceives, and decides, the software too is created to represent this.

Argo AI, the Pittsburgh-based autonomous vehicle startup in which Ford invested $1 billion in 2017, has expanded its testing to downtown Detroit with a new third-generation self-driving car. Argo AI is developing the virtual driver system and high-definition maps designed for Ford's self-driving vehicles. The third-generation self-driving vehicle is still based on a Ford Fusion Hybrid like its previous test cars. This latest iteration has a number of mechanical, sensing, compute and software upgrades that will take the company a step closer to production specification. Importantly, these vehicles also have redundant braking and steering systems that help maintain vehicle motion control in case one of the units stops functioning.

Artificial intelligence (AI) stands to have a transformative impact on international trade. Already, specific applications in areas such as data analytics and translation services are reducing barriers to trade. At the same time, there are challenges in the development of AI that international trade rules could address. General AI refers to systems that can self-learn from experience with "humanlike breadth" and surpass human performance on tasks. General AI raises broad existential concerns, but remains a technology in the distant future.

From discovering drugs, to locating black holes, to finding safer nuclear energy sources, high performance computing systems around the world have enabled breakthroughs across all scientific domains. Japan's fastest supercomputer, ABCI, powered by NVIDIA Tensor Core GPUs, enables similar breakthroughs by taking advantage of AI. The system is the world's first large-scale, open AI infrastructure serving researchers, engineers and industrial users to advance their science. The software used to drive these advances is as critical as the servers the software runs on. However, installing an application on an HPC cluster is complex and time consuming.

Artificially intelligent systems are slowly taking over tasks previously done by humans, and many processes involving repetitive, simple movements have already been fully automated. In the meantime, humans continue to be superior when it comes to abstract and creative tasks. However, it seems like even when it comes to creativity, we're now being challenged by our own creations. In the last few years, we've seen the emergence of hundreds of "AI artists." These complex algorithms are creating unique (and sometimes eerie) works of art.

In a clear demonstration of why AI leadership demands the best compute capabilities, NVIDIA today unveiled the world's 22nd fastest supercomputer -- DGX SuperPOD -- which provides AI infrastructure that meets the massive demands of the company's autonomous-vehicle deployment program. The system was built in just three weeks with 96 NVIDIA DGX-2H supercomputers and Mellanox interconnect technology. Delivering 9.4 petaflops of processing capability, it has the muscle for training the vast number of deep neural networks required for safe self-driving vehicles. Customers can buy this system in whole or in part from any DGX-2 partner based on our DGX SuperPOD design. AI training of self-driving cars is the ultimate compute-intensive challenge.

The digital video company, which split from Baidu (BIDU), has been seeing losses since going public in the US last March. In this year's first quarter, the company's net loss jumped year-over-year to $270.3 million from $63.1 million as operating costs soared. In contrast, Tencent (TCEHY) made a profit of $4.1 billion in the first quarter, and Tencent Music (TME), a digital music company that split from Tencent and went public in December, posted a profit of $147 million. Chinese e-commerce leader Alibaba (BABA), into the movie and video streaming business through its Alibaba Pictures and Youku units, made a profit of $3.8 billion in the first quarter, and Netflix (NFLX) and Amazon (AMZN) made profits of $344 million and $3.6 billion, respectively. Amazon is also into video streaming, although its main operations are e-commerce.

More and more organizations are beginning to use or expand their use of artificial intelligence (AI) tools and services in the workplace. Despite AI's proven potential for enhancing efficiency and decision-making, it has raised a host of issues in the workplace which, in turn, have prompted an array of federal and state regulatory efforts that are likely to increase in the near future. Artificial intelligence, defined very simply, involves machines performing tasks in a way that is intelligent. The AI field involves a number of subfields or forms of AI that solve complex problems associated with human intelligence--for example, machine learning (computers using data to make predictions), natural-language processing (computers processing and understanding a natural human language like English), and computer vision or image recognition (computers processing, identifying, and categorizing images based on their content). One area where AI is becoming increasingly prevalent is in talent acquisition and recruiting.

Whereas Russia and the United States (U.S.) competed in a traditional arms race through the Cold War, we are now observing a new combative arena where the U.S. government intends to compete with China in the advancement of Industrial Artificial Intelligence (IAI): a new arms race. IAI is defined as a government's motivation to economically invest and advance the commercialization of artificial intelligence within its society. This new arms race may be on the way after U.S. Senators Martin Heinrich (D-NM) and Rob Portman (R-OH) proposed the Artificial Intelligence Act. Believing that Chinese progression in AI technology may soon surpass and threaten American capabilities, the Act calls for a $2.2 billion federal investment strategy over five years in "research, development, demonstration, application to analysis and modeling, and other activities with respect to science and technology in artificial intelligence (AI)." The Act's bi-partisanship nature demonstrates the growing consensus among government officials surrounding the importance of IAI in protecting and bolstering American life against international interference.

New technology devices and apps pop up as abundantly as summer weeds here in Silicon Valley. Chip-enhanced products offer to satisfy almost every need imaginable. Prompts from your smart refrigerator tell you to buy more milk. With a voice command, music plays to facilitate meditation, thanks to your smart -- always on -- helper who listens for your next query from a canister on your kitchen counter; you know, the one with a woman's voice and name. In this glut of offerings, how do you select what is truly useful from what is simply the latest "smart" thing?