Free Download Applications of Medical Artificial Intelligence: Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings by Shandong Wu, Behrouz Shabestari, Lei Xing
English | PDF (True) | 2023 | 187 Pages | ISBN : 3031470753 | 28.3 MB
This book constitutes the refereed proceedings of the first International Workshop on Applications of Medical Artificial Intelligence, AMAI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada in October 2023.

Free Download Advances in Artificial Intelligence and Applied Cognitive Computing: Proceedings from ICAI'20 and ACC'20 by Hamid R. Arabnia
English | EPUB | 2021 | 1152 Pages | ISBN : 3030702952 | 141.9 MB
The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI'20) and The 4th International Conference on Applied Cognitive Computing (ACC'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks.

Free Download AIxIA 2023 - Advances in Artificial Intelligence: XXIInd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023, Rome, Italy, November 6-9, 2023, Proceedings by Roberto Basili, Domenico Lembo, Carla Limongelli, Andrea Orlandini
English | PDF (True) | 2023 | 499 Pages | ISBN : 3031475453 | 31.6 MB
This book constitutes the refereed proceedings of the XXIInd International Conference on AIxIA 2023 - Advances in Artificial Intelligence, AIxIA 2023, held in Rome, Italy, during November 6-10, 2023.

Free Download Artificial Intelligence A–Z 2023 Build 5 AI (incl. ChatGPT)
Last updated 12/2023
Duration: 14h 9m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 4.94 GB
Genre: eLearning | Language: English
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Free Download The Ultimate Guide to Artificial Intelligence for Beginners
by John DataFord
English | 2023 | ISBN: 8871941276 | ASIN: B0CQD1JR9D | 103 Pages | PDF | 22 MB

Free Download Industry 4.0 and Healthcare: Impact of Artificial Intelligence
English | 2023 | ISBN: 9819919487 | 413 Pages | PDF EPUB (True) | 42 MB
This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.

Free Download Brief History of Artificial Intelligence: Cutting Across from the Origin to the Future
by Charles M. Brown
English | 1 Dec. 2023 | ISBN: N/A | ASIN: B0CPCB7CKP | 107 Pages | PNG | 10 MB

Free Download Artificial Intelligence in Everyday Life
by Hameedullah Khan
English | December 20, 2023 | ISBN: N/A | ASIN: B0CQQZQK6F | 58 pages | PDF | 13 Mb

Free Download Artificial Intelligence in Anesthesiology
English | 2023 | ISBN: 9819959241 | 262 Pages | PDF EPUB (True) | 2.3 MB
Considering the rapid developments in digital and information technologies, artificial intelligence has long been a hot topic in medicine. This book discusses applications of artificial intelligence in anaesthesiology, including control of anesthesia, risk prediction, ultrasound guidance, pain management, and operating room logistics. This book first defines basic concepts of AI, and give a brief overview of a few algorithms frequently used in AI and machine learning. A review of current AI and machine learning applications for the prediction of anesthesia conditions is also discussed, including those for the prediction of difficult airways before surgery, of adverse events and sedation effects during surgery, and of vomiting and pain after surgery. Even without extensive promotion and clinical application, AI is in development in anesthesiology; furthermore, it has a great deal of potential to maintain further development in the future. Lastly, ethical and safety considerations are discussed alongside AI limitations and challenges in anesthesiology.

Free Download Artificial Intelligence for Edge Computing
English | 2023 | ISBN: 3031407865 | 637 Pages | PDF EPUB (True) | 41 MB
It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed the landscape of science in many application domains, ranging from health to defense and from conversational interfaces to autonomous cars. With terms such as "Google Home", "Alexa", and "ChatGPT" becoming household names, the pervasive societal impact of AI is clear. Advances in AI promise a revolution in our interaction with the physical world, a domain where computational intelligence has always been envisioned as a transformative force toward a better tomorrow. Depending on the application family, this domain is often referred to as Ubiquitous Computing, Cyber-Physical Computing, or the Internet of Things. The underlying vision is driven by the proliferation of cheap embedded computing hardware that can be integrated easily into myriads of everyday devices from consumer electronics, such as personal wearables and smart household appliances, to city infrastructure and industrial process control systems. One common trait across these applications is that the data that the application operates on come directly (typically via sensors) from the physical world. Thus, from the perspective of communication network infrastructure, the data originate at the network edge. From a performance standpoint, there is an argument to be made that such data should be processed at the point of collection. Hence, a need arises for Edge AI - a genre of AI where the inference, and sometimes even the training, are performed at the point of need, meaning at the edge where the data originate.