Mr. Zinsner had been CFO at chip maker Micron Technology Inc. for about four years. Micron said it has begun a search for a new CFO and named Chief Business Officer Sumit Sadana to the additional role of interim CFO. Mr. Zinsner will join Intel in a period of transition, including in its executive ranks. Chief Executive Pat Gelsinger took over in February 2021, succeeding former CEO Bob Swan, who was ousted from the company. Additionally, Intel said Monday that Gregory Bryant, the head of its client computing group, is leaving at the end of the month for a new opportunity.
Artificial intelligence (AI) has become a part of everyday conversation and our lives. It is considered as the new electricity that is revolutionizing the world. AI is heavily invested in both industry and academy. However, there is also a lot of hype in the current AI debate. AI based on so-called deep learning has achieved impressive results in many problems, but its limits are already visible. AI has been under research since the 1940s, and the industry has seen many ups and downs due to over-expectations and related disappointments that have followed. The purpose of this book is to give a realistic picture of AI, its history, its potential and limitations. We believe that AI is a helper, not a ruler of humans. We begin by describing what AI is and how it has evolved over the decades. After fundamentals, we explain the importance of massive data for the current mainstream of artificial intelligence. The most common representations for AI, methods, and machine learning are covered. In addition, the main application areas are introduced. Computer vision has been central to the development of AI. The book provides a general introduction to computer vision, and includes an exposure to the results and applications of our own research. Emotions are central to human intelligence, but little use has been made in AI. We present the basics of emotional intelligence and our own research on the topic. We discuss super-intelligence that transcends human understanding, explaining why such achievement seems impossible on the basis of present knowledge,and how AI could be improved. Finally, a summary is made of the current state of AI and what to do in the future. In the appendix, we look at the development of AI education, especially from the perspective of contents at our own university.
NVIDIA Corporation (NasdaqGS:NVDA) today introduced the TensorRT 7, which is "the seventh generation of the company's inference software development kit" to deliver conversational AI applications. "We have entered a new chapter in AI, where machines are capable of understanding human language in real time. TensorRT 7 helps make this possible, providing developers everywhere with the tools to build and deploy faster, smarter conversational AI services that allow more natural human-to-AI interaction." The company also announced that it will provide the transportation industry with access to its NVIDIA DRIVE deep neural networks (DNNs) for autonomous vehicle development on the NVIDIA GPU Cloud (NGC) container registry. "The AI autonomous vehicle is a software-defined vehicle required to operate around the world on a wide variety of datasets. By providing AV developers access to our DNNs and the advanced learning tools to optimize them for multiple datasets, we're enabling shared learning across companies and countries, while maintaining data ownership and privacy. Ultimately, we are accelerating the reality of global autonomous vehicles."