Show overview
Movies and Books in Audio has been publishing since 2020, and across the 3 years since has built a catalogue of 70 episodes. That works out to roughly 30 hours of audio in total. Releases follow a fortnightly cadence, with the show now in its 2nd season.
Episodes typically run ten to twenty minutes — most land between 14 min and 25 min — though episode length varies meaningfully from one episode to the next. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-US-language Arts show.
The catalogue appears to be on hiatus or wound down — the most recent episode landed 3.3 years ago, with no new episodes in over a year. The busiest year was 2020, with 28 episodes published. Published by AIU.
From the publisher
Welcome to "Artificial Intelligence University", the podcast that explores the latest and most exciting developments in the world of artificial intelligence. From machine learning to natural language processing, we dive deep into the cutting-edge research and real-world applications that are shaping our future. We also take a look at the ethical implications of these technologies, examining how they are being used to benefit society and what challenges they may pose in the years to come.
Latest Episodes
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Weekly AI news roundup
Welcome to the weekly AI news roundup on our channel! In this episode, we bring you the latest updates and breakthroughs in the field of artificial intelligence. Join us as we dive into the top stories of the week, including Google's Project Starline, Facebook's TextStyleBrush, IBM's CodeNet, Amazon's HealthLake, and Microsoft's Bot Framework Composer 2.0. In Project Starline, Google aims to revolutionize video conferencing with a realistic 3D system. TextStyleBrush from Facebook is an AI-powered tool that can copy text styles, while IBM's CodeNet generates code from natural language descriptions. Amazon's HealthLake enables healthcare organizations to store, analyze, and share health data using AI. Lastly, Microsoft's Bot Framework Composer 2.0 simplifies chatbot development and deployment. Stay informed with the latest advancements in AI by subscribing to our channel and don't forget to hit the notification bell to never miss an update. Join the conversation and share your thoughts on these exciting developments in the comments section below. Get ready to explore the world of artificial intelligence with us! #AI #ArtificialIntelligence #TechNews #ProjectStarline #TextStyleBrush #CodeNet #HealthLake #BotFrameworkComposer

AI News Weekly (04-23-2023)
Hello and welcome to AI Weekly, the Podcast that brings you the latest and most relevant news on artificial intelligence. I'm your host, Writer, and today I'm going to give you a summary of the top AI news of the past week. First, let's talk about a breakthrough in natural language processing. Researchers from Google and Stanford University have developed a new model called Switch Transformer, which can handle multiple tasks such as translation, summarization, sentiment analysis and more with a single architecture. The model uses a novel technique called mixture of experts, which allows it to dynamically switch between different sub-networks depending on the input and the task. The model achieved state-of-the-art results on several benchmarks, while being more efficient and scalable than previous models. Next, we have some exciting news from the field of computer vision. A team of scientists from MIT and IBM has created a new dataset called ObjectNet, which aims to challenge the current limitations of object recognition systems. Unlike existing datasets, which mostly contain images of objects in ideal conditions and orientations, ObjectNet contains images of objects in various realistic scenarios, such as occluded, rotated, or in cluttered backgrounds. The dataset is designed to test the robustness and generalization of object recognition models, and to encourage the development of more human-like vision systems. Finally, we have some news from the domain of robotics. A group of researchers from Carnegie Mellon University and Facebook AI Research has developed a new framework called Rapid Motor Adaptation (RMA), which enables robots to quickly adapt to new environments and tasks. The framework uses reinforcement learning and meta-learning to train a robot to learn from its own experience and to transfer its knowledge to new situations. The framework was tested on a quadruped robot called D'Kitty, which was able to adapt to different terrains, such as grass, sand, and stairs, as well as different gaits, such as walking, trotting, and galloping. That's all for this week's AI Weekly. Thank you for tuning in and stay tuned for more AI news next week.

AI news this week (04-16-2023)
AI news this week Artificial intelligence (AI) is one of the most dynamic and exciting fields of technology today. Every week, there are new developments, breakthroughs and challenges that shape the future of AI. Here are some of the top stories of this week: - OpenAI attracts deep-pocketed rivals in Anthropic and Musk: OpenAI, the research organization behind GPT-3 and other generative AI models, is facing competition from two new ventures: Anthropic, a stealthy startup founded by former OpenAI researchers and backed by Reid Hoffman; and a mysterious project led by Elon Musk, who co-founded OpenAI but left its board in 2018. Both rivals are reportedly working on large-scale AI systems that could rival or surpass GPT-3 in natural language understanding and generation. - Amazon launches Bedrock, a service to build generative AI apps: Amazon Web Services (AWS) announced Bedrock, a new service that allows customers to build generative AI applications using pretrained models from startups such as AI21 Labs, Hugging Face and Cohere. Bedrock aims to lower the barriers to entry for developers who want to leverage the power of generative AI without having to train their own models or deal with complex infrastructure. - AI newsreader debuts in China, sparks debate on human touch: A chatbot named Xiaoice, developed by Microsoft and a Chinese company, has become the first AI newsreader to host a live TV show in China. Xiaoice can interact with viewers, answer questions and generate natural-sounding speech based on text inputs. However, some critics argue that AI newsreaders lack the human touch and empathy that real journalists have, and may pose ethical and social risks. - CMU teaches a robot dog to walk a balance beam: Researchers from Carnegie Mellon University (CMU) have developed a novel method to teach a robot dog to walk on a narrow balance beam. The method uses reinforcement learning, a technique that trains an agent to learn from trial and error, and incorporates prior knowledge about the dynamics of the robot and the environment. The researchers claim that their method can enable more agile and robust locomotion for legged robots in challenging terrains. - Robot or human teacher? Kids' preferences vary by age and task: A study by researchers from MIT and Harvard University has explored how children of different ages prefer to learn from robots versus humans. The study involved 120 children aged 4 to 11 who interacted with either a robot or a human teacher on various tasks such as math problems, storytelling and drawing. The results showed that younger children preferred robots for math and drawing tasks, while older children preferred humans for storytelling tasks. The researchers suggest that robots could be designed to adapt to children's preferences and needs based on their age and task.

Artificial Intelligence News 03/22/2023
Generative AI dominated the news again this week. Generative AI is a type of artificial intelligence that is capable of creating new content, such as images, videos, and text, without human intervention. Some of the most exciting developments in generative AI this week include Nvidia’s new cloud services for building and testing generative AI models and Adobe’s launch of its latest product, Firefly. Dataiku, a French AI startup, raised $200 million in a late-stage funding round for “Everyday AI”. Dataiku is a collaborative data science platform that enables companies to build and deliver their own data products more efficiently. The company’s platform is designed to help data scientists, analysts, and business users work together to build and deploy machine learning models. The funding will be used to expand Dataiku’s platform and accelerate its growth in the US and other markets . Zappi, a market intelligence firm, raised $170 million to help drive better insights. Zappi’s platform is designed to help companies make better decisions by providing them with real-time insights into consumer behavior. The funding will be used to expand Zappi’s platform and accelerate its growth in the US and other markets. Vic.ai, an accounting automation platform, raised $52 million. Vic.ai’s platform is designed to help companies automate their accounting processes by using artificial intelligence to analyze financial data. The funding will be used to expand Vic.ai’s platform and accelerate its growth in the US and other markets. Sana, an AI learning platform startup, raised $34 million. Sana’s platform is designed to help companies train their employees using artificial intelligence. The funding will be used to expand Sana’s platform and accelerate its growth in the US and other markets. LexCheck, an AI-powered contract review company, raised $17 million. LexCheck’s platform is designed to help companies review and analyze legal documents using artificial intelligence. The funding will be used to expand LexCheck’s platform and accelerate its growth in the US and other markets.

What is Artificial Intelligence?
Artificial intelligence (AI) is a term that refers to the ability of machines to perform tasks that normally require human intelligence, such as perceiving, reasoning, learning, problem-solving and decision-making. AI can be applied to various domains and industries, such as healthcare, education, entertainment, finance and more. AI can be classified into two main types: narrow AI and general AI. Narrow AI is designed to perform specific tasks within a limited domain, such as face recognition, speech recognition or chess playing. General AI is the hypothetical ability of machines to exhibit intelligence across any domain and task, similar to humans. While narrow AI has achieved remarkable results in recent years, general AI remains a distant goal for researchers. AI can also be categorized based on its methods and techniques. Some of the common methods include machine learning (ML), deep learning (DL), natural language processing (NLP), computer vision (CV) and robotics. Machine learning is the process of enabling machines to learn from data and experience without explicit programming. Deep learning is a subset of machine learning that uses artificial neural networks to model complex patterns and relationships in data. Natural language processing is the field of AI that deals with understanding and generating natural languages, such as English or Chinese. Computer vision is the field of AI that deals with analyzing and interpreting visual information, such as images or videos. Robotics is the field of AI that deals with creating machines that can interact with the physical world through sensors and actuators. AI has many benefits and challenges for society. Some of the benefits include improving productivity, efficiency, accuracy and innovation in various sectors; enhancing human capabilities and well-being; creating new opportunities for education, entertainment and communication; solving complex problems and advancing scientific discovery. Some of the challenges include ensuring ethical, legal and social implications; avoiding bias, discrimination and unfairness; ensuring safety, security and privacy; maintaining human dignity, autonomy and values; fostering trustworthiness, transparency and accountability. AI is an exciting field that has transformed many aspects of our lives and will continue to do so in the future. However, it also poses significant questions about its impact on humanity and our role in shaping its development.

Relaxing rain and thunder (Aster)
Sounds of nature to help you study, meditate and sleep better. If you are looking for some sound therapy this is what you need. Rain and thunder sounds for sleep and relaxation. Heavy thunder sounds and a soothing rain sound. Relax anytime and anywhere with the simple sound of rain. ... rain and thunder sounds, heavy rain sounds, rain at night, rain sounds for sleeping, heavy rain, sleep sounds, rain and thunder, black screen rain, sound of rain, heavy rain at night, rain, thunderstorm sounds for sleeping, heavy rain and thunder, rainstorm

Relaxing rain and thunder: Extended Play - 2 Hours 20 Minutes (Artemisia+)
Sounds of nature to help you study, meditate and sleep better. If you are looking for some sound therapy this is what you need. Rain and thunder sounds for sleep and relaxation. Heavy thunder sounds and a soothing rain sound. Relax anytime and anywhere with the simple sound of rain. rain and thunder sounds, heavy rain sounds, rain at night, rain sounds for sleeping, heavy rain, sleep sounds, rain and thunder, black screen rain, sound of rain, heavy rain at night, rain, thunderstorm sounds for sleeping, heavy rain and thunder, rainstorm Sound Effect from <a href="https://pixabay.com/sound-effects/?utm_source=link-attribution&amp;utm_medium=referral&amp;utm_campaign=music&amp;utm_content=16705">Pixabay</a>

Relaxing rain and thunder (Artemisia)
The sounds of nature help you study, meditate and sleep better. If you are looking for some sound therapy this is what you need. Rain and thunder sounds for sleep and relaxation. Heavy thunder sounds and a soothing rain sound. Relax anytime and anywhere with the simple sound of rain. rain and thunder sounds, heavy rain sounds, rain at night, rain sounds for sleeping, heavy rain, sleep sounds, rain and thunder, black screen rain, sound of rain, heavy rain at night, rain, thunderstorm sounds for sleeping, heavy rain and thunder, rainstorm Sound Effect from <a href="https://pixabay.com/sound-effects/?utm_source=link-attribution&amp;utm_medium=referral&amp;utm_campaign=music&amp;utm_content=16705">Pixabay</a>

White Noise: Relaxing wind (Alabaster)
White Noise: Relaxing wind (Alabaster)

Relaxing Water Sounds (Anemone)
relaxing water sounds, nature sounds

Relaxing Ocean Sounds (Aero)
Relaxing Ocean Sounds. White noise for sleep, study, or mediation.

Relaxing Rain Sounds (Allium)
relaxing rain sounds, nature sounds, sleeping in the rain

Relaxing rain (One)
Relaxing rain for relaxation, meditation, study, reading, massage, spa or sleep. This rain sound is ideal for anxiety, stress or insomnia as it promotes relaxation and helps to eliminate bad vibrations.

Love That Bob!: Bob in Orbit
The Bob Cummings Show (also known as Love That Bob) is an American sitcom starring Bob Cummings, which was broadcast from January 2, 1955, to September 15, 1959. The Bob Cummings Show was the first series to debut as a midseason replacement. The program began with a half-season run on NBC, then ran for two full seasons on CBS, and returned to NBC for its final two seasons. The program was later rerun on ABC daytime and then syndicated under the title Love That Bob. A similar (but less successful) follow-up series, The New Bob Cummings Show, was broadcast on CBS during the 1961–62 television season. Overview. The series stars Cummings as dashing Hollywood photographer, Air Force reserve officer, and ladies' man, Bob Collins. The character's interest in aviation and photography mirrored Cummings' own, with his character's name the same as the role he played in the 1945 film You Came Along. The series also stars Rosemary DeCamp as his sister Margaret MacDonald. In some episodes, Cummings also doubled as Bob and Margaret's grandfather, Josh Collins of Joplin, Missouri. The Bob Cummings Show was important in the development of several careers including series creator, producer, and head writer Paul Henning. Henning, who a decade earlier was a major force in the character development and writing of The Burns and Allen television and radio shows, was a co-producer with George Burns of the Cummings show. He later produced such major 1960s hits as The Beverly Hillbillies, Petticoat Junction, and Green Acres. Regulars in the show included Ann B. Davis, who twice won Emmy Awards for playing Bob Collins' assistant Schultzy. Henning apparently remembered cast members Nancy Kulp and Joi Lansing favorably, giving both of them roles several years later on The Beverly Hillbillies, Kulp as Miss Hathaway (secretary to banker Milburn Drysdale — a character similar to Pamela Livingstone, the one she played on Cummings' show) – and Lansing as Gladys Flatt, wife of Lester Flatt. A decade after The Bob Cummings Show left the air, Davis went on to play the housekeeper Alice in The Brady Bunch. In the 1995 film The Brady Bunch Movie, which featured another actress playing Alice, Davis reprised the role of Schultzy for a cameo that suggests the character went on to become a truck driver. Olive Sturgess appeared in 12 episodes as Carol Henning, girlfriend to Bob's nephew, Chuck. Versatile character actress Kathleen Freeman appeared in six episodes as Bertha Krause. Perhaps the biggest career boost was received by young Dwayne Hickman, a student at Loyola University in Los Angeles, who appeared as the nephew and became a favorite with young female viewers. During the last season of The Bob Cummings Show, he was cast as the lead in CBS's The Many Loves of Dobie Gillis. This program represented the height of Cummings' television career. Although he later starred in two other early-'60s series, The New Bob Cummings Show and My Living Doll, and made guest appearances on several other TV series, he never again achieved that level of success on television.

Private Secretary - Her Best Enemy
Private Secretary (also known as Susie) is an American sitcom that aired from February 1, 1953, to September 10, 1957, on CBS, alternating with The Jack Benny Program on Sundays at 7:30pm EST. The series stars Ann Sothern as Susan Camille "Susie" MacNamara, devoted secretary to handsome talent agent Peter Sands, played by Don Porter.

Sherlock Holmes: The Adventure of the Missing Submarine Plans
Sherlock Holmes is the overall title given to the series of radio dramas adapted from Arthur Conan Doyle's Sherlock Holmes stories that aired between 1952 and 1969 on BBC radio stations. The episodes starred Carleton Hobbs as Sherlock Holmes and Norman Shelley as Dr. Watson. All but four of Doyle's sixty Sherlock Holmes stories were adapted with Hobbs and Shelley in the leading roles, and some of the stories were adapted more than once with different supporting actors. Most of the episodes were first broadcast on the BBC Home Service or the BBC Light Programme. The episodes were often broadcast as part of programmes such as Children's Hour or Thirty-Minute Theatre and did not originally air with an overall series title. The title Sherlock Holmes was used for some of the individual series and has been used for the overall series.

The Science of Getting Rich by Wallace D. Wattles
The Science of Getting Rich is a book written by the New Thought Movement writer Wallace D. Wattles and published in 1910 by the Elizabeth Towne Company. The book is still in print. According to USA Today, the text is "divided into 17 short, straight-to-the-point chapters that explain how to overcome mental barriers, and how creation, rather than competition, is the hidden key to wealth attraction." Historical context. This book is based on the Hindu philosophies that One is All, and that All is One (Page one of Preface). The Science of Getting Rich is based upon what Wattles called "the Certain Way of Thinking." According to Mitch Horowitz, the editor-in-chief of the Jeremy Tarcher imprint of Penguin Books, which reprinted The Science of Getting Rich in 2007, Wattles' "Certain Way" descended from the "mental healing movement" that had started earlier with Phineas P. Quimby in the mid-19th century. As Horowitz explained to a reporter from the Washington Post, after experiencing relief from physical symptoms of discomfort or illness through Quimby's mental strategies, people began to wonder, "If my state of mind seems to have a positive influence over how I feel physically, what other things can it do? Can it lead to prosperity? Can it lead to happiness in my home? Can it lead to finding love and romance?" One result of such questioning was Wattles's application of Quimbian "mental healing" strategies to financial as well as physiological situations. Wattles, who had formerly been a Methodist, ran for office as a Socialist candidate in Indiana in 1916. He included the word science in the title, reflecting a secular approach to New Thought though also thereby borrowing from the then widespread popularity of Christian Science and its offshoots as he wrote about business prosperity, mind training, and success in the material world. The mental technique that he called "thinking in the Certain Way," was intended to establish a state of positivity and self-affirmation. According to Horowitz, mental healing and positive thinking theories for prosperity were joined by late 19th century trends such as Transcendentalism and a belief in the power of science and that "All these currents came together, and this philosophy that we call 'New Thought,' was born out of them. It's as American as an old-growth forest." The contents, with chapter titles like "How to Use the Will" and "Further Use of the Will" advance Wattles' concept of the "Certain Way."; similar keywords about will power, mastery, and success are found in the writings of contemporary early 20th century authors Charles F. Haanel (The Master Key System), the Methodist minister Frank Channing Haddock (Power of Will, Power for Success, Mastery of Self for Wealth Power Success), and Elizabeth Towne (How to Grow Success). Towne published other books and magazine articles by Wattles: The Science of Getting Rich (1910) is a companion volume to the author's book on health from a New Thought perspective, The Science of Being Well (1910) and his personal self-help book The Science of Being Great (1911). All three were originally issued in matching bindings.

The Jack Benny Radio Show: Back From London
The Jack Benny Program, starring Jack Benny, is a radio-TV comedy series that ran for more than three decades and is generally regarded as a high-water mark in 20th century American comedy. He played one role throughout his radio and television careers, a caricature of himself as a minimally talented musician and penny pincher who was the butt of all the jokes.

The Lone Ranger: The Osage Bank Robbery (12-17-1937)
The Lone Ranger is a fictional masked former Texas Ranger who fought outlaws in the American Old West with his Native American friend, Tonto. The character has been called an enduring icon of American culture. He first appeared in 1933 in a radio show on WXYZ (Detroit), con ceived either by station owner George W. Trendle or by Fran Striker, the show's writer. The radio series proved to be a hit, and spawned a series of books (largely written by Striker), an equally popular television show that ran from 1949 to 1957, comic books, and several films. The title character was played on the radio show by Earle Graser for some 1,300 episodes, but three others preceded him, according to The New York Times: "a man named Deeds, who lasted only a few weeks; a George Stenius [actually George Seaton according to the Los Angeles Times], and then Brace Beemer; the latter became the narrator of the program. Clayton Moore portrayed the Lone Ranger on television, although, during a contract dispute, Moore was replaced for a season by John Hart, who wore a different style of mask. On the radio, Tonto was played by, among others, John Todd and Roland Parker; and in the television series, by Jay Silverheels, who was a Mohawk from the Six Nations Indian Reserve in Ontario, Canada.

Sherlock Holmes: The Adventure of the Missing Submarine Plans
Sherlock Holmes is the overall title given to the series of radio dramas adapted from Arthur Conan Doyle's Sherlock Holmes stories that aired between 1952 and 1969 on BBC radio stations. The episodes starred Carleton Hobbs as Sherlock Holmes and Norman Shelley as Dr. Watson. All but four of Doyle's sixty Sherlock Holmes stories were adapted with Hobbs and Shelley in the leading roles, and some of the stories were adapted more than once with different supporting actors. Most of the episodes were first broadcast on the BBC Home Service or the BBC Light Programme. The episodes were often broadcast as part of programmes such as Children's Hour or Thirty-Minute Theatre and did not originally air with an overall series title. The title Sherlock Holmes was used for some of the individual series and has been used for the overall series.