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Dmytro Spodarets

News by Dmytro Spodarets

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Eastern European bank creates AI supercomputer in collaboration with the Hungarian government
Marshall Choy, VP of product at SambaNova, said [https://venturebeat.com/2021/12/09/hungarian-gov-teams-up-with-eastern-european-bank-to-develop-ai-supercomputer/] that the AI supercomputer running such a powerful GPT model is not something any bank has done before. The supercomputer will be used for building one of the largest language models of the Hungarian language. OTP Bank and the government have agreed that the authorities will provide around half of the funding for development under con
Dec 16, 2021
BrainBox AI innovates the technology to manage the mechanical side of the buildings
Nowadays, it is important to be in sync with our planet and nature. That’s the reason why BrainBox AI [https://www.brainboxai.com] cofounder and chief technology officer, Jean-Simon Venne, considers the development of AI-powered autonomy technologies as fundamental. The main objective of the company is to come up with new methods of controlling air conditioning, heating, and ventilation in buildings, to make energy consumption more effective and efficient. They also work on getting neighboring
Dec 15, 2021
DeepMind claims that Player of Games is the first AI system that can play poker, chess, Go etc.
One of the latest, really impressive research papers on Arxiv.org [https://arxiv.org/pdf/2112.03178.pdf] explores how DeepMind has created Player of Games — an AI system with a general-purpose algorithm that unifies previous approaches, combining guided search, self-play learning, and game-theoretic reasoning. Player of Games is the first algorithm to accomplish strong empirical performance in large perfect information games like the Chinese board game Go and chess, and imperfect ones like poke
Dec 10, 2021
AI and machine learning announcements at AWS re:Invent 2021
Last week, we got a train of super interesting news and announcements from re:Invent 2021. Traditionally, some of them cover the expansion of AWS's prime AI/ML service — Amazon SageMaker. To strengthen the service, AWS has released such new features, capacities, and services as: * SageMaker Canvas — to expand access of business analysts and business people needing data capacity to at-hand ML through a visual point-and-click interface * SageMaker Training Compiler — to accelerate traini
Dec 9, 2021
Is the future of innovation in the hands of AI?
December is the best time to make predictions for the following year. The surveyors from nonprofit technical organization IEEE [https://www.ieee.org/] share this thought. According to their newly released survey, the biggest bet in 2022 is that AI and Machine Learning will completely run the future of innovation. IEEE study says that 95% tech leaders agree—including 66% who strongly agree—that AI will drive the majority of innovation across nearly every industry sector in the next one to five
Dec 8, 2021
Webinar "Interpretable Machine Learning for Materials R&D"
Join Dr. Dean and Dr. Bazhirov on November 19th to learn more about Interpretable machine learning for materials research and development.
Nov 18, 2021
AI Ukraine 2021
Hello friends! Data Phoenix team wants to present to you — AltexSoft, a technology consulting company organizing AI UKRAINE 2021 Conference.
Oct 27, 2021
Webinar "Pachyderm in production: lessons learned"
The Data Phoenix Events team invites you all on September 29 to our "The A-Z of Data [https://dataphoenix.info/the-a-z-of-data/]" webinars. The topic — Pachyderm in production: lessons learned [https://dataphoenix.info/webinar-pachyderm-in-production-lessons-learned/]. In this talk, we will take a look at yet another MLOps tool - Pachyderm. This tool is gaining in popularity and is unique for some use-cases. The speaker will share the experience of applying Pachyderm to a real-world, BigData N
Sep 24, 2021
Webinar "Deploying deep learning models with Kubernetes and Kubeflow"
The Data Phoenix Events [https://dataphoenix.info/] team invites you all on September 8 to our "The A-Z of Data [https://dataphoenix.info/the-a-z-of-data/]" webinar. The topic — deploying deep learning models with Kubernetes and Kubeflow [https://dataphoenix.info/webinar-deploying-deep-learning-models-with-kubernetes-and-kubeflow/] . In this talk, we'll learn about deploying Keras models. First, we'll see how to do it with TF-Serving and Kubernetes, and in the second part of the talk, we'll do
Sep 7, 2021
Webinar "The A-Z of Data: Monitoring ML Models in Production"
The Data Phoenix Events team invites you all today (August 25) to the second of our series of "The A-Z of Data" webinars. The topic — Monitoring ML Models in Production [https://dataphoenix.info/webinar-monitoring-machine-learning-models-in-production] . The performance of machine learning models can decline over time - due to changes in data, business processes, or simply data loss or failures. To avoid the negative impact on business performance, it is crucial to detect such situations and ta
Aug 24, 2021
Webinar "The A-Z of Data: Introduction to MLOps"
The Data Phoenix Events team invites you all August 17 to the first of our series of webinars entitled "The A-Z of Data".
Aug 4, 2021