Podcasts about mathematics and statistics

Shun-ichi Amari received the Kyoto Prize in Advanced Technology, specifically in the field of Information Technology, for his work on neural network dynamics and learning theory. His studies also elucidate our understanding of brain activity in perceptual systems such as vision. Amari established a new academic field that he named “information geometry,” which considers statistical models and probability distribution, laying the foundation for the development of practical algorithms. His research plays an essential role in the evolution of artificial intelligence. Series: "Kyoto Prize Symposium" [Science] [Show ID: 41116]

Shun-ichi Amari received the Kyoto Prize in Advanced Technology, specifically in the field of Information Technology, for his work on neural network dynamics and learning theory. His studies also elucidate our understanding of brain activity in perceptual systems such as vision. Amari established a new academic field that he named “information geometry,” which considers statistical models and probability distribution, laying the foundation for the development of practical algorithms. His research plays an essential role in the evolution of artificial intelligence. Series: "Kyoto Prize Symposium" [Science] [Show ID: 41116]

Shun-ichi Amari received the Kyoto Prize in Advanced Technology, specifically in the field of Information Technology, for his work on neural network dynamics and learning theory. His studies also elucidate our understanding of brain activity in perceptual systems such as vision. Amari established a new academic field that he named “information geometry,” which considers statistical models and probability distribution, laying the foundation for the development of practical algorithms. His research plays an essential role in the evolution of artificial intelligence. Series: "Kyoto Prize Symposium" [Science] [Show ID: 41116]

Shun-ichi Amari received the Kyoto Prize in Advanced Technology, specifically in the field of Information Technology, for his work on neural network dynamics and learning theory. His studies also elucidate our understanding of brain activity in perceptual systems such as vision. Amari established a new academic field that he named “information geometry,” which considers statistical models and probability distribution, laying the foundation for the development of practical algorithms. His research plays an essential role in the evolution of artificial intelligence. Series: "Kyoto Prize Symposium" [Science] [Show ID: 41116]

In this episode, we are joined by faculty members from the Department of Mathematics and Statistics including Robert Banik, Amber Robinson, Jacob Tschume and Kim Walters—all recipients of the Grisham Master Teacher Award, Mississippi State University's highest teaching honor—to discuss their insights, teaching philosophies and best practices.

The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]

The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]

The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]

The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]

The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]

The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]

SciFest, Ireland's largest and most inclusive second level STEM fair programme took place recently, and it aims to give students of all abilities and backgrounds the opportunity to develop research, problem solving, critical thinking, and presentation skills. Participation in the SciFest programme is free at all levels. Since its foundation in 2006, SciFest has grown from a single STEM fair of 170 students to 99 STEM fairs with 10,000 students participating around the country. Ronan talks to Diarmuid Hayes one of the SciFest finalists. Diarmuid talks about his background, the SciFest National STEM competition, his SciFest project, Benford's law and how he proved how accurate Ireland's Covid data is. More about Diarmuid: Diarmuid Hayes is a student at Coláiste Iognáid, Galway. Diarmuid investigated a a law in nature called Benford's Law that all data follows. If the data does not follow Benford's Law, then the data is likely fake and possibly manipulated either on purpose or accidentally. He subsequently developed a dashboard test that incorporates Benford's Law, statistical and graphical techniques to test if data is real or fake. The platform is a user-friendly application so that anyone can test data quickly and efficiently. His innovative project will be helpful for scientists or students to be used as an analytical tool to check that their data is not biased in any way and will help identify if images or videos are fake or real so that public can be made aware of fraud, fake news, or scams.

Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]

Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]

Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]

Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]

Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]

Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]

Statistics is the branch of mathematics”, this is the simplest definition of statistics that we all have learned during the initial stage of academics. The major difference between both statistics and mathematics is seen in the purpose and application of the disciplines.There were several other issues that I was facing while working on the assignments based on them. Then to eliminate the complexities I took assistance from the experts of My Assignment Services

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]

Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]

Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]

Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]

Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]

Earlier this year the University of Glasgow, School of Mathematics and Statistics won The Herald Higher Education Awards category for Innovation Technology Excellence. These awards celebrate the best and brightest in higher education in Scotland, with the school commended for its innovative digital approach to providing students with continuous feedback. We speak to the university's Professor Tara Brendle, Professor Ian Strachen and Dr Andrew Wilson to find out more. Like this podcast? Subscribe to the Jisc podcast via iTunes or add the RSS feed to your favourite podcast app. You can also visit the Jisc website for more information.

Earlier this year the University of Glasgow, School of Mathematics and Statistics won The Herald Higher Education Awards category for Innovation Technology Excellence. These awards celebrate the best and brightest in higher education in Scotland, with the school commended for its innovative digital approach to providing students with continuous feedback. We speak to the university's Professor Tara Brendle, Professor Ian Strachen and Dr Andrew Wilson to find out more. Like this podcast? Subscribe to the Jisc podcast via iTunes or add the RSS feed to your favourite podcast app. You can also visit the Jisc website for more information.

Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]

Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]

Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM: Adding Arts to STEM Education" [Humanities] [Science] [Arts and Music] [Show ID: 25933]

Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM: Adding Arts to STEM Education" [Humanities] [Science] [Arts and Music] [Show ID: 25933]