Alibaba Group, Chinese retail, and internet company, recently revealed Hanguang 800, which is an AI-based chip for advanced computing capability on the cloud, Reuters reported earlier.
The chip accelerates machine learning tasks and will be available to Alibaba Cloud customers, the report notes.
The company has currently deployed the Hanguang 800 AI Chipset for its business operations and claims that the chip aids product search and automatic translation on eCommerce sites. It also optimizes the shopping experience by powering personalized recommendations, intelligent and advertising customer service with high computational efficiency.
Multiyear partnership founded on shared values of trustworthiness and empowerment, and an investment of $1 billion from Microsoft, will focus on building a platform that OpenAI will use to create new AI technologies and deliver on the promise of artificial general intelligence
SAN FRANCISCO and REDMOND, Wash. — July 22, 2019— Microsoft Corp. and OpenAI, two companies thinking deeply about the role of AI in the world and how to build secure, trustworthy and ethical AI to serve the public, have partnered to further extend Microsoft Azure’s capabilities in large-scale AI systems. Through this partnership, the companies will accelerate breakthroughs in AI and power OpenAI’s efforts to create artificial general intelligence (AGI). The resulting enhancements to the Azure platform will also help developers build the next generation of AI applications. The partnership covers the following:
Microsoft and Sony are announcing an unusual partnership today, allowing the two rivals to partner on cloud-based gaming services. “The two companies will explore joint development of future cloud solutions in Microsoft Azure to support their respective game and content-streaming services,” Microsoft said in a statement. Sony’s existing game and content-streaming services will also be powered by Microsoft Azure in the future.
With NetApp solutions, this Data Fabric can deliver applications that engage users and can provide analytics that turns insights into a competitive advantage.
Hybrid cloud data services firm NetApp has announced NetApp ONTAP 9.6, a new midrange, end-to-end NVMe AFF A320 storage system and new services for businesses.
According to the company, the cloud-connected flash solutions, coupled with Data Fabric strategy, provide operational efficiency and protection needed to support innovation, add performance and power technologies such as artificial intelligence or 5G networks.
Designing AI systems capable of accurate instance-level landmark recognition (i.e., distinguishing Niagara Falls from just any waterfall) and retrieving images (matching objects in an image to other instances of that object in a catalog) is a longstanding pursuit of Google’s AI research division. Last year, it released Google-Landmarks, a landmarks data set it claimed at the time was the world’s largest, and hosted two competitions (Landmark Recognition 2018 and Landmark Retrieval 2018) in which more than 500 machine learning researchers participated.
Today, in a significant step toward its goal of more sophisticated landmark-detecting computer vision models, Google open-sourced Google-Landmarks-v2, a new, larger landmark recognition corpus containing twice as many photos and seven times as many landmarks. Additionally, it’s launched two new challenges (Landmark Recognition 2019 and Landmark Retrieval 2019) on Kaggle, its machine learning community, and released the source code and model for Detect-to-Retrieve, a framework for regional image retrieval.
Cellebrite, the leading provider of digital intelligence solutions, today announced a new artificial intelligence (AI)-driven customization capability as part of the Cellebrite Analytics Solution.
This first-of-its-kind technology enables investigators and lab practitioners to create customized digital media categories to find and surface video and image evidence related to a specific topic relevant for their current investigations. This new capability complements the 13 pre-defined electronic media categories, such as weapons, drugs, suspected child exploitation and money, already available as part of the Cellebrite Analytics Solution. With this machine learning capability built into Cellebrite’s Analytics Solution, law enforcement can quickly create new categories and then train the system in just a few clicks to find pertinent images that can be key to generating leads and solving cases.
New Taipei City, Taiwan, 23rd April 2019 – Infortrend® Technology, Inc. (TWSE: 2495) announces the support of several dynamic technologies and solutions that significantly increase the capability of Infortrend storage.
The innovation begins with the convergence of EonStor GS and Docker. Traditional storage is used for data storage only. By integrating with Docker container, GS is now extended from traditional storage to front-end computing. Today Docker has already been widely deployed on Infortrend storage. The lightweight EonStor GSe Pro system can run Sony Navigator X in Docker to perform media asset management. EonStor GSi, with NVIDIA GPUs, can run AI applications utilizing machine learning frameworks such as TensorFlow and Caffe, or implement deep learning models such as ResNet and Alexnet.
Amelia von IPsoft als einzige Lösung in allen 10 Kriterien mit “differenziert” bewertet
IPsoft, der weltweit führende Anbieter im Bereich Enterprise-KI (www.ipsoft.com), wurde in der Marktstudie ‘The Forrester New Wave(TM): Standalone Chatbots for IT Operations, Q2 2019’ als Leader eingestuft. Für den jetzt veröffentlichten Bericht wurden die Lösungen von acht ausgewählten Unternehmen analysiert. Forrester New Wave befand außerdem, dass IPsoft das Anbieterfeld mit stabilen Chatbot-Features für IT-Operations anführt und die beste Wahl für Unternehmen ist, die sich auf die Einführung kognitiver Technologien festlegen wollen.
Turns out after they’ve been trained on enormous datasets, algorithms can not only tell what a picture is such as knowing a cat is a cat but can also generate absolutely original images. The artificial intelligence that makes this possible has matured significantly in recent years and in some applications is very proficient, but in other ways, still has a long way to go.
Artificial Intelligence Can Now Generate Amazing Images – What Does The Mean For Humans? ADOBE STOCK
AI Recognizes What an Image Is
It’s taken two decades for computer scientists to train and develop machines that can “see” the world around them—another example of an everyday skill humans take for granted yet one that is quite challenging to train a machine to do.
In Indien detektiert Künstliche Intelligenz Missernten und untergewichtige Babys.
Firmen und Non-Profit-Organisationen suchen nach neuen Wegen, Probleme in den Entwicklungsländern zu lösen. Werkzeuge aus dem Bereich der Künstlichen Intelligenz werden unter anderem eingesetzt, um die Ernteausbeute zu erhöhen, die Kindersterblichkeit zu senken und die Wirtschaft zu stärken. Dieses zeigten mehrere Vorträge auf der jüngsten EmTech-Konferenz der US-Ausgabe von Technology Review in San Francisco.