Rich Uhlig, Dean of Intel Research Institute: Focuses research on the needs of the post-epidemic era
We are at a major turning point in the human history-the global epidemic has reshaped our work, connections and interactions. It is no exaggeration to say that this moment will have a long-term and wide-ranging impact on the economy, the community, and how we will conduct technological innovation and investment in the next few years. To this end, more than 700 researchers at Intel Research are strengthening research through expertise across multiple disciplines. Such moments also allow us to further focus on areas in need of innovation and conduct principled innovation.
Intel recently released the 2030 global impact target, highlighting the urgent need to expand development opportunities through technology and digital readiness programs. With the help of scientific and technological research, we have unprecedented opportunities to achieve social-level changes on a global scale.
Although during the epidemic, technology has effectively maintained the interconnection between people, the experience we have obtained is far from perfect, and it also reveals many shortcomings and even new challenges. According to data from the World Economic Forum, the epidemic has affected the education of more than 1 billion students worldwide. Organizations such as the American Civil Liberties Union (ACLU) have also expressed concerns about contact tracking and other epidemic prevention and control measures, such as these measures may lead to potential data abuse, excessive collection and privacy violations and other risks.
Intel Research has been working to solve bottlenecks and challenges in data movement, computing, and security, including neural mimicry, probabilistic computing, expected computing, quantum computing, and different areas such as memory, edge computing, and 5G. We also noticed the technical divide problem exposed by the epidemic. We have been working on this for some time and found new opportunities to apply our research. Some notable aspects:
Improving virtual work experience: We are working on innovative immersive presence technology to support simulation interaction and cope with the "virtual fatigue" syndrome that many people experience due to long-term virtual work. These technologies integrate multiple camera streams in the existing live broadcast solution, and integrate to realize simulation interaction, which can be used for video calls and online live broadcast content. We have found through anthropological research that people use gaze, gestures, posture, posture, words, actions, and other cues to achieve a common focus on a certain field and what they refer to, thereby establishing effective interaction. We are exploring how to achieve immersive interaction through array camera technology, computational acoustics, and multi-model signal semantic understanding, thereby reducing friction and cognitive load in a fully virtual environment.
Rethinking distance learning: Due to the epidemic, many offline teaching was forced to move online, and educators faced a series of special challenges such as evaluating and maintaining student interaction. For senior students, we are studying the introduction of new technologies to assess participation in the learning platform, so that teachers can provide personalized learning experiences, especially during distance learning, to solve a major pain point after the epidemic. For lower grade students (second grade and below), we observed that they lacked interest in teaching and interacting with the screen. Our environmental computing research focuses on creating a highly engaging and immersive experience. Students can contact and interact with real objects, as well as projected intelligent animated characters. It can perceive the real environment and students’ activities, words and gestures, and respond accordingly. Respond. At present, we are focusing on the study of mathematics learning, this subject is very suitable for teaching aids and physical interaction.
Privacy protection technology: With the increasing use of artificial intelligence in the study of patient/population health data, how to achieve data sharing between different storage spaces without infringing privacy rights, and quickly obtain access to research, scientific and medical communities Insight is crucial. We recently released a joint learning technology jointly developed with the University of Pennsylvania and 29 other research institutes for early diagnosis of brain tumors. We have also further studied the potential use of Intel® Software Protection Extension (Intel® SGX) technology in some emerging applications. These emerging applications provide contact tracking through location and distance recognition while protecting privacy.
Pathogen monitoring: When pathogens such as SARS-CoV-2 appear, we need to establish virus samples through techniques such as whole-genome sequencing and compare them with known microorganisms to identify the nature of the pathogen and track its variation. By monitoring these changes on a global scale, scientists can track the path of transmission of pathogens and better understand their risk status. However, the pathogen database has grown almost exponentially, and the sample pairing has to be compared millions of times, which makes it difficult to achieve strong early identification and monitoring. We are investigating how to use Intel® Optane™ technology to accelerate DNA/RNA similarity search, integrating a new biological algorithm with hardware that can retrieve information from these large databases more efficiently. We will obtain more accurate comparison results in millions of genetic samples more quickly, so as to better cope with the COVID-19 epidemic and possible future disease pandemic.
As researchers, during the period of large-scale social change, we see more clearly the possibility of technological innovation driving change. It further strengthens our core mission: seeking breakthroughs, solving the most significant data challenges in the future, and expanding the application of research results to achieve the widest social impact.
Intel recently released the 2030 global impact target, highlighting the urgent need to expand development opportunities through technology and digital readiness programs. With the help of scientific and technological research, we have unprecedented opportunities to achieve social-level changes on a global scale.
Although during the epidemic, technology has effectively maintained the interconnection between people, the experience we have obtained is far from perfect, and it also reveals many shortcomings and even new challenges. According to data from the World Economic Forum, the epidemic has affected the education of more than 1 billion students worldwide. Organizations such as the American Civil Liberties Union (ACLU) have also expressed concerns about contact tracking and other epidemic prevention and control measures, such as these measures may lead to potential data abuse, excessive collection and privacy violations and other risks.
Intel Research has been working to solve bottlenecks and challenges in data movement, computing, and security, including neural mimicry, probabilistic computing, expected computing, quantum computing, and different areas such as memory, edge computing, and 5G. We also noticed the technical divide problem exposed by the epidemic. We have been working on this for some time and found new opportunities to apply our research. Some notable aspects:
Improving virtual work experience: We are working on innovative immersive presence technology to support simulation interaction and cope with the "virtual fatigue" syndrome that many people experience due to long-term virtual work. These technologies integrate multiple camera streams in the existing live broadcast solution, and integrate to realize simulation interaction, which can be used for video calls and online live broadcast content. We have found through anthropological research that people use gaze, gestures, posture, posture, words, actions, and other cues to achieve a common focus on a certain field and what they refer to, thereby establishing effective interaction. We are exploring how to achieve immersive interaction through array camera technology, computational acoustics, and multi-model signal semantic understanding, thereby reducing friction and cognitive load in a fully virtual environment.
Rethinking distance learning: Due to the epidemic, many offline teaching was forced to move online, and educators faced a series of special challenges such as evaluating and maintaining student interaction. For senior students, we are studying the introduction of new technologies to assess participation in the learning platform, so that teachers can provide personalized learning experiences, especially during distance learning, to solve a major pain point after the epidemic. For lower grade students (second grade and below), we observed that they lacked interest in teaching and interacting with the screen. Our environmental computing research focuses on creating a highly engaging and immersive experience. Students can contact and interact with real objects, as well as projected intelligent animated characters. It can perceive the real environment and students’ activities, words and gestures, and respond accordingly. Respond. At present, we are focusing on the study of mathematics learning, this subject is very suitable for teaching aids and physical interaction.
Privacy protection technology: With the increasing use of artificial intelligence in the study of patient/population health data, how to achieve data sharing between different storage spaces without infringing privacy rights, and quickly obtain access to research, scientific and medical communities Insight is crucial. We recently released a joint learning technology jointly developed with the University of Pennsylvania and 29 other research institutes for early diagnosis of brain tumors. We have also further studied the potential use of Intel® Software Protection Extension (Intel® SGX) technology in some emerging applications. These emerging applications provide contact tracking through location and distance recognition while protecting privacy.
Pathogen monitoring: When pathogens such as SARS-CoV-2 appear, we need to establish virus samples through techniques such as whole-genome sequencing and compare them with known microorganisms to identify the nature of the pathogen and track its variation. By monitoring these changes on a global scale, scientists can track the path of transmission of pathogens and better understand their risk status. However, the pathogen database has grown almost exponentially, and the sample pairing has to be compared millions of times, which makes it difficult to achieve strong early identification and monitoring. We are investigating how to use Intel® Optane™ technology to accelerate DNA/RNA similarity search, integrating a new biological algorithm with hardware that can retrieve information from these large databases more efficiently. We will obtain more accurate comparison results in millions of genetic samples more quickly, so as to better cope with the COVID-19 epidemic and possible future disease pandemic.
As researchers, during the period of large-scale social change, we see more clearly the possibility of technological innovation driving change. It further strengthens our core mission: seeking breakthroughs, solving the most significant data challenges in the future, and expanding the application of research results to achieve the widest social impact.
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