Monday, December 23, 2024

AITech365’s Weekly Roundup: Discover the Most Recent News From WiMi Hologram Cloud, UiPath, HCLTech, Veritone!

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Here is AITech365’s Weekly Roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news.

In Augmented Reality news this week…

WiMi Hologram Cloud Proposes A New Lightweight Decentralized Application Technical Solution Based on IPFS

WiMi Hologram Cloud a leading global Hologram Augmented Reality Technology provider announced a blockchain distributed storage framework that presents a pooling algorithm and inverse process for IPFS-based DAPP schemes. The combination of DAPP with IPFS allows for a lightweight layout. By putting the static resources, data storage layer, distributed database, communication layer, and other parts of DAPP into the IPFS network, the data storage pressure on the chain can be effectively reduced, and the performance and availability of DAPP can be improved. In the implementation process, the IPFS network can be operated through the IPFS API to realize the interaction and communication between DAPP and IPFS.

In Automation news this week…

UiPath Announces New Connectors for Google AI and Google Workspace at Google Cloud Next 2023 Conference

UiPath, a leading enterprise automation software company, announced at the Google Cloud Next 2023 conference a new connector for Google Cloud, a UiPath partner, that allows developers, data scientists, and machine learning engineers to integrate generative text and chat completion into their automations.

In Cloud news this week…

HCLTech Collaborates With AWS to Accelerate GenAI Adoption

HCLTech, a leading global technology company, announced a collaboration with Amazon Web Services (AWS) to accelerate the adoption of generative artificial intelligence (GenAI) at the company and by enterprises globally.

In Computer Science news this week…

Agilisium Appoints Dr. Amar Drawid as SVP – Chief AI & Business Consulting Officer to Accelerate its Life Science Customers Data Innovation Strategy

Agilisium Consulting, the pioneering leader in data analytics, cloud, and life science solutions, is pleased to announce the appointment of Dr. Amar Drawid as its new Senior Vice President – Chief AI & Business Consulting Officer. He will lead Agilisium’s efforts in Business Consulting, Innovation Labs, and Solutions, with a focus on the Commercial and R&D domains of Life Sciences.

In Computing news this week…

World’s Largest Association of Computing Professionals Issues Principles for Generative AI Technologies

In response to major advances in Generative AI technologies—as well as the significant questions these technologies pose in areas including intellectual propertythe future of work, and even human safety—the Association for Computing Machinery‘s global Technology Policy Council (ACM TPC) has issued “Principles for the Development, Deployment, and Use of Generative AI Technologies.”

In Customer Experience news this week…

Rippey AI Unveils Seamless Chatbot Integration with Slack and Microsoft Teams, Revolutionizing Customer Service Experience

Rippey AI, a global frontrunner in logistics AI technology, announced its game changing chatbot integration with prominent collaboration platforms, Slack and Microsoft Teams. This latest conversational AI enhancement empowers customer service teams by ensuring that users receive instantaneous, accurate, and efficient responses.

In Healthcare news this week…

FDA Grants Xenex Authorization for LightStrike+ UV Robot via De Novo – First & Only Microbial Reduction Robot for Healthcare Facilities

The U.S. Food and Drug Administration has granted Xenex Disinfection Services, Inc. De Novo authorization for the company’s LightStrikeTM+ device, a high-intensity, broad-spectrum ultraviolet (UV) light robot. The authorization creates a new medical device product classification under which the LightStrike+ robot is the first and only product of its type, setting the precedent for FDA regulation of UV robots intended for use in reducing pathogens on non-porous, high-touch surfaces in the healthcare environment.

In Machine Learning news this week…

Weights & Biases Wins Google Cloud Technology Partner of the Year Award for AI and Machine Learning

Weights & Biases announced that it has received the 2023 Google Cloud Technology Partner of the Year Award for Artificial Intelligence and Machine Learning. The company was recognized for its achievements in the Google Cloud ecosystem, helping joint customers accelerate their machine learning and AI development for innovative use cases such as creating and fine-tuning large language models (LLMs).

In MarTech this week…

Veritone to Unveil Insights and Spearhead Discussions at Voice & AI 2023

Veritone, Inc., a leader in enterprise AI software and services, announced it will attend the 2023 Voice & AI Conference, the premier event that brings together the global natural language and generative AI communities, from September 5 to 7 at the Hilton in Washington, D.C. Veritone will participate in several thought-provoking sessions, demonstrating its dedication to advancing the fields of natural language processing and generative AI.

In Robot this week…

Heart Centre Rigshospitalet Enhances Leadership in Patient Care with Adoption of Latest Robotic Technology

Stereotaxis, a pioneer and global leader in surgical robotics for minimally invasive endovascular intervention, announced that physicians at Heart Centre Rigshospitalet of Copenhagen University Hospital successfully treated the first patients using Stereotaxis’ Genesis Robotic Magnetic Navigation System. The Genesis system is the latest and most advanced robotic technology available for the treatment of heart rhythm disorders. Rigshospitalet is among the first in Europe, and the only hospital in Denmark, to offer the Genesis system to patient

Insight of the Week

Mastering Machine Learning: A Complete Guide for Beginners

Machine Learning

Machine learning is a field of study that uses algorithms to improve the performance of a computer system by teaching it to do things on its own. The more data that is used to train the ML model, the better the model will be at performing a task. There are a few different types of ML: supervised, unsupervised, and reinforcement learning. Supervised learning is when the machine is given a set of training data and the goal is to learn how to classify it.

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