CAS committee member Catherine Mason MBCS shares the history of the society and the contributions of the specialist group’s co-founder and President Emeritus George Mallen upon the release of her new book Creative Simulations: George Mallen and the Early Computer Arts Society. #computerarts #CAS #BCSspecialistgroup
BCS ITNow Magazine’s Post
More Relevant Posts
-
DID YOU KNOW? Symbolics.com holds the distinction of being the first domain name ever registered on the internet. It was registered on March 15, 1985, by Symbolics, Inc., a computer manufacturer based in Massachusetts, USA. The company specialized in making Lisp-based workstations and was an early pioneer in the field of artificial intelligence and computer graphics. At the time, the internet was still in its infancy, and the concept of domain names had just been introduced as a way to organize and identify resources on the network. Symbolics.com was chosen by Symbolics, Inc. to represent their brand and establish an online presence, making them one of the earliest adopters of internet technology. Interestingly, Symbolics.com still exists today and holds historical significance as the first-ever domain name registered on the internet.
To view or add a comment, sign in
-
-
Understanding whether there is an efficient algorithm for approximate Nash equilibrium has been the central open problem in this field for the past decade. We prove several intractability theorems for different settings (two-player games and many-player games) and models (computational complexity, query complexity, and communication complexity). In particular, our main result is that under a plausible and natural complexity assumption ("Exponential Time Hypothesis for PPAD"), there is no polynomial-time algorithm for finding an approximate Nash equilibrium in two-player games. Get the book here: https://bit.ly/3omoTLp Author: Aviad Rubinstein, Stanford University #gametheory #approximate #Nash #equilibrium #computational #intractability #Brouwersfixedpoint #CourseMatch #multiplayergames #PPADhardnessofapproximation ACM, Association for Computing Machinery
To view or add a comment, sign in
-
-
QUANTUM MEMORY POWER: LEARN TO IMPROVE YOUR MEMORY WITH THE WORLD MEMORY CHAMPION! “If you think about it. We spend two-thirds of our lives processing images. From the moment we wake up – even when we're asleep. When we're dreaming, we're processing images. So we're professional image processing machines. So everything that we care to think of – if you want to remember what you had for dinner last night – you're using imagery... When it comes to things like numbers and playing cards – even names – I decode them. I call it the language of numbers. I have pictures for every pair of numbers. I have a picture for a playing card. And the way I remember them in sequence is I put them along a journey. A set route." - Domenic O'Brien, eight-time World Memory Champion and author of "Quantum Memory Power: Learn to Improve Your Memory with the World Memory Champion!" https://lnkd.in/ghNQdgGC
To view or add a comment, sign in
-
-
QUANTUM MEMORY POWER: LEARN TO IMPROVE YOUR MEMORY WITH THE WORLD MEMORY CHAMPION! “If you think about it. We spend two-thirds of our lives processing images. From the moment we wake up – even when we're asleep. When we're dreaming, we're processing images. So we're professional image processing machines. So everything that we care to think of – if you want to remember what you had for dinner last night – you're using imagery... When it comes to things like numbers and playing cards – even names – I decode them. I call it the language of numbers. I have pictures for every pair of numbers. I have a picture for a playing card. And the way I remember them in sequence is I put them along a journey. A set route." - Domenic O'Brien, eight-time World Memory Champion and author of "Quantum Memory Power: Learn to Improve Your Memory with the World Memory Champion!" https://lnkd.in/gHPsMYV5
To view or add a comment, sign in
-
-
A common theme in LLMs: Research comes after the fact. Making models go fast is the current name of the game and whereas HuggingFace offers some of the best training infrastructure, deployment is a different topic. Here, tools like Nvidia Triton with TensorRT are more efficient - however far removed from the known HF universe. A little closer and still fast is our favorite: vLLM. While vLLM has been the goto choice for a while, just a day ago the authors uploaded the paper on their magic sauce, paged attention. Check it out here: https://lnkd.in/eBJdKJfM https://vllm.ai/
To view or add a comment, sign in
-
-
Understanding whether there is an efficient algorithm for approximate Nash equilibrium has been the central open problem in this field for the past decade. We prove several intractability theorems for different settings (two-player games and many-player games) and models (computational complexity, query complexity, and communication complexity). In particular, our main result is that under a plausible and natural complexity assumption ("Exponential Time Hypothesis for PPAD"), there is no polynomial-time algorithm for finding an approximate Nash equilibrium in two-player games. Get the book here: https://bit.ly/3omoTLp Author: Aviad Rubinstein, Stanford University #gametheory #approximate #Nash #equilibrium #computational #intractability #Brouwersfixedpoint #CourseMatch #multiplayergames #PPADhardnessofapproximation ACM, Association for Computing Machinery
Hardness of Approximation Between P and NP (Acm Books)
amazon.com
To view or add a comment, sign in
-
Understanding whether there is an efficient algorithm for approximate Nash equilibrium has been the central open problem in this field for the past decade. We prove several intractability theorems for different settings (two-player games and many-player games) and models (computational complexity, query complexity, and communication complexity). In particular, our main result is that under a plausible and natural complexity assumption ("Exponential Time Hypothesis for PPAD"), there is no polynomial-time algorithm for finding an approximate Nash equilibrium in two-player games. Get the book here: https://bit.ly/3omoTLp Author: Aviad Rubinstein, Stanford University #gametheory #approximate #Nash #equilibrium #computational #intractability #Brouwersfixedpoint #CourseMatch #multiplayergames #PPADhardnessofapproximation ACM, Association for Computing Machinery
Hardness of Approximation Between P and NP (ACM Books)
amazon.com
To view or add a comment, sign in
-
Ph.D. Student & Research Assistant in Electrical and Computer Engineering @ the University of Waterloo
This Fall term at the University of Waterloo, I am TAing for the course "ECE 457A: Adaptive and Cooperative Algorithms," instructed by Dr. Benyamin Ghojogh. He is delivering outstanding lectures, diligently recording each class, and making them accessible on YouTube. You can watch the lectures via the link below. The course covers three (or maybe four) main concepts, as follows: – Metaheuristic Optimization – Fundamentals of Game Theory – Fundamentals of Reinforcement Learning – Fundamentals of Fuzzy Logic (time allowing) https://lnkd.in/gmvADa9m
Adaptive and Cooperative Algorithms - F2023 - YouTube
youtube.com
To view or add a comment, sign in
-
This paper proposes to fill the above gaps by providing a unified reference for both ongoing research and future research directions in the field. In particular, the review addresses the most common #game #theory (#GT) and #multi-#agent #learning (#MAL) models and algorithms, and scenario settings adopted in user-centric #radio #access #technology (#RAT) selection in terms of utility function and network topology. Regarding GT, the review focuses on non-cooperative models, because of their widespread use in RAT selection; as for MAL, a large number of algorithms are described, ranging from game-theoretic to #reinforcement #learning (#RL) schemes, and also including most recent approaches, such as #deep #RL (#DRL) and #multi-#armed #bandit (#MAB). ----Özgü Alay, Luca De Nardis https://lnkd.in/gTVqd4-M
User-Centric Radio Access Technology Selection: A Survey of Game Theory Models and Multi-Agent Learning Algorithms
ieeexplore.ieee.org
To view or add a comment, sign in
-
Recently Meta has done something that will get Nvidia and AMD very, very worried — it gave up on GPU and CPU to take a RISC-V route for AI training and inference acceleration. RISC-V offers a unique set of features that allow users to customize and optimize both software and hardware for specific use cases, resulting in faster development cycles and better design tradeoffs for performance, power and area. If u want to try Meta AI demos to experience their latest AI research breakthroughs firsthand check them out here : https://lnkd.in/ehzfeFvV
Demos - Meta AI
ai.meta.com
To view or add a comment, sign in