Gareth Morgan Thomas (38 results)

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

gebundene Ausgabe. Condition: Gut. 307 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 645. …

Hardcover. Condition: Good. Dust Jacket Condition: Good. 1st Edition.

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Paperback. Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Hardcover.

Taschenbuch. Condition: Neu. Neuware - The AI race will not be decided by model size alone. It will be decided in silicon. Every major advance in artificial intelligence eventually collides with a physical limit: memory bandwidth, data movement, power consumption, heat, interconnect speed, manufacturing yield, or cost.That is why the most important question in AI hardware is not simply: How many operations can this chip perform The real question is: How much useful computation can the complete system sustain when the model, memory, software, power, cooling, and communication demands are included Modern AI Chips: Architecture, Systems, and Frontiers takes you inside the technologies determining the future of artificial intelligence-from numerical formats and tensor cores to HBM4, chiplets, wafer-scale processors, advanced packaging, data-centre interconnects, and edge AI.You will discover: - Why the memory wall now matters more than raw arithmetic throughput- Why AI training and inference demand fundamentally different hardware- How FP32, BF16, FP8, INT8, INT4, and FP4 change performance, accuracy, capacity, and cost- Why HBM has become one of the most strategically important components in computing- How tensor cores, systolic arrays, dataflow processors, and SRAM-centric architectures actually work- How NVIDIA, AMD, Google, AWS, Groq, Cerebras, SambaNova, Taalas, and emerging Chinese GPU developers attack the same constraints differently- Why chiplets, silicon interposers, hybrid bonding, and multi-reticle packaging are replacing traditional monolithic scaling- How NVLink, Infinity Fabric, Ethernet, and other interconnect technologies determine cluster-level performance- Why 1,000-watt-class accelerators are transforming data-centre power delivery and cooling- How compilers, operator fusion, runtimes, and software ecosystems determine whether theoretical performance becomes usable performance- Why TOPS, FLOPS, tokens per second, latency, throughput, and vendor benchmarks can mislead even experienced buyers- How to evaluate an AI accelerator as a complete engineering system rather than a collection of headline specificationsThis is not a superficial catalogue of processor announcements.It is a systems-level examination of the architecture, semiconductor technology, memory, packaging, networking, thermals, software, and economics behind modern AI computation.Whether you are an engineer, developer, technical investor, student, researcher, technology strategist, or serious industry observer, this book will give you the framework needed to look beyond marketing claims and identify where genuine hardware advantage resides.Understand the machines beneath the models-and the physical limits shaping the next generation of artificial intelligence. …

Taschenbuch. Condition: Neu. Neuware - Unlock the Minds That Shaped Psychology.Who are the thinkers behind the theories that define how we understand the mind, behavior, and human nature 40 Great Minds of Psychology takes you on a compelling journey through the lives and ideas of the pioneers who built the field from the ground up.Spanning over a century of thought, this book distills the contributions of forty foundational figures-from the early architects of experimental psychology to the visionaries who redefined therapy, cognition, and the science of emotion. Each chapter delivers clear, focused insight into a psychologist's core ideas, historical impact, and enduring legacy.Whether you're a student stepping into psychology for the first time or a lifelong learner looking to connect the dots across its major schools of thought, this book gives you the context, clarity, and confidence to understand the field at its roots.What You'll Learn: - How Wundt, Freud, Jung, and Skinner laid the scientific groundwork- Why thinkers like Maslow, Piaget, and Erikson transformed education, therapy, and development- How modern innovators like Seligman, Bandura, and Kahneman reshaped our understanding of motivation, well-being, and decision-making- How 40 distinct figures form a coherent timeline of psychological discoveryPerfect For: - Psychology undergraduates and early-stage students- Readers seeking a structured introduction to psychological theory- Educators, professionals, and autodidacts wanting a foundational reference- Anyone curious about how the study of mind and behavior has evolvedAccessible. Insightful. Foundational.This book doesn't just teach you names and dates-it gives you the lens to see how psychology became the science it is today.…

Kartoniert / Broschiert. Condition: New. KlappentextLearn the proper body conditioning that will make you move from complete beginner in Kung Fu to master in Iron Palm, capable of breaking piles of bricks, concrete, or bones and even delivering lethal strikes without paying .

Taschenbuch. Condition: Neu. Neuware - More precisely, you will learn.

Paperback. Condition: New.

First Edition. Fine cloth copy in an equally fine dw. Particularly and surprisingly well-preserved; tight, bright, clean and especially sharp-cornered. Further scans, images etc. and additional bibliographical material available on request. Copy previously owned by Vivian Ridler with his uninked embossed personalised stamp to front free endpaper. Vivian Ridler, CBE (2 October 1913-11 January 2009), ex-Faber executive was also a printer, typographer and scholar in Britain. He was Printer to the University of Oxford at Oxford University Press from 1958 until his retirement in 1978; and also established his own Perpetua Press. Gregynog ephemera and keepsakes loosely inserted. ; 8vo 8" - 9" tall; 146 pages; Description: [7], 146 p., [5] leaves of plates : ill. (incl 1 col.), facsim., maps ; 26 cm. Subject: Gregynog Manor, Wales. Small presses -- Wales. Gregynog Press. 1 Kg.…

Condition: New. Satisfaction Guaranteed or your money back.

First Edition. Fine cloth copy in an equally fine dw. Particularly and surprisingly well-preserved; tight, bright, clean and especially sharp-cornered. Further scans, images etc. and additional bibliographical material available on request. Copy previously owned by Vivian Ridler with his uninked embossed personalised stamp to front free endpaper. Vivian Ridler, CBE (2 October 1913-11 January 2009), ex-Faber executive was also a printer, typographer and scholar in Britain. He was Printer to the University of Oxford at Oxford University Press from 1958 until his retirement in 1978; and also established his own Perpetua Press. Gregynog ephemera and keepsakes loosely inserted. ; 8vo 8" - 9" tall; 146 pages; Description: [7], 146 p., [5] leaves of plates : ill. (incl 1 col.), facsim., maps ; 26 cm. Subject: Gregynog Manor, Wales. Small presses -- Wales. Gregynog Press. 1 Kg.…

[0-7083-0634-9] 1977. (Small 4to) Very good in very good dust jacket. 146pp. Signed with inscription by Prys Morgan. Color frontispiece, photographs, illustrations, maps, tables, notes, bibliography, index. Contributors include Harold Carter (Gregynog-The Regional Setting), Rollo Charles (The Davies Art Collection), B.S.O. Fox (The Park and Gardens), Dorothy A. Harrop (The Gregynog Press), David Howell (The Estate and its Owners 1795 to 1920), Glyn Tegai Hughes (The University at Gregynog), John Hywel (Music During the Davies Period), Prys Morgan (The Blayney Period), Prys Morgan (Life at Gregynog Between the Wars), Thomas Parry (The Bequest to the University), Melville Richards (The Name 'gregynog'), Ifor Williams, Sir (' Gregynog'). Locale: Gregynog--Wales; Wales. (History--England).…

Paperback. Condition: new. Paperback. The AI race will not be decided by model size alone. It will be decided in silicon. Every major advance in artificial intelligence eventually collides with a physical limit: memory bandwidth, data movement, power consumption, heat, interconnect speed, manufacturing yield, or cost.That is why the most important question in AI hardware is not simply: How many operations can this chip perform?The real question is: How much useful computation can the complete system sustain when the model, memory, software, power, cooling, and communication demands are included?Modern AI Chips: Architecture, Systems, and Frontiers takes you inside the technologies determining the future of artificial intelligence-from numerical formats and tensor cores to HBM4, chiplets, wafer-scale processors, advanced packaging, data-centre interconnects, and edge AI.You will discover: Why the memory wall now matters more than raw arithmetic throughputWhy AI training and inference demand fundamentally different hardwareHow FP32, BF16, FP8, INT8, INT4, and FP4 change performance, accuracy, capacity, and costWhy HBM has become one of the most strategically important components in computingHow tensor cores, systolic arrays, dataflow processors, and SRAM-centric architectures actually workHow NVIDIA, AMD, Google, AWS, Groq, Cerebras, SambaNova, Taalas, and emerging Chinese GPU developers attack the same constraints differentlyWhy chiplets, silicon interposers, hybrid bonding, and multi-reticle packaging are replacing traditional monolithic scalingHow NVLink, Infinity Fabric, Ethernet, and other interconnect technologies determine cluster-level performanceWhy 1,000-watt-class accelerators are transforming data-centre power delivery and coolingHow compilers, operator fusion, runtimes, and software ecosystems determine whether theoretical performance becomes usable performanceWhy TOPS, FLOPS, tokens per second, latency, throughput, and vendor benchmarks can mislead even experienced buyersHow to evaluate an AI accelerator as a complete engineering system rather than a collection of headline specificationsThis is not a superficial catalogue of processor announcements.It is a systems-level examination of the architecture, semiconductor technology, memory, packaging, networking, thermals, software, and economics behind modern AI computation.Whether you are an engineer, developer, technical investor, student, researcher, technology strategist, or serious industry observer, this book will give you the framework needed to look beyond marketing claims and identify where genuine hardware advantage resides.Understand the machines beneath the models-and the physical limits shaping the next generation of artificial intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.