cloud


Microsoft Developing Artificial Intelligence Processor For HoloLens 2

International Business Times

In a blog post Monday, Microsoft detailed plans for its HoloLens 2 mixed reality headset and confirmed that it would utilize a dedicated coprocessor for AI processing. Competitors like Google, Facebook and Nvidia have also explored including similar processors for AI. The increased investment in AI-tailored hardware speaks to the interest and importance AI now has for tech companies. For a mixed reality device like the HoloLens, the potential applications for AI are similar: AI could help power overlays to give you additional information about things you see or hear in the real world.


Quest for AI Leadership Pushes Microsoft Further Into Chip Development

#artificialintelligence

Microsoft Corp. says it has the answer with a chip design for its HoloLens goggles--an extra AI processor that analyzes what the user sees and hears right there on the device rather than wasting precious microseconds sending the data back to the cloud. "For an autonomous car, you can't afford the time to send it back to the cloud to make the decisions to avoid the crash, to avoid hitting a person. But the rapid development of artificial intelligence has left some traditional chip makers facing real competition for the first time in over a decade. More recently, in an effort to take on Google and Amazon.com Inc. in cloud services, the company used customizable chips known as field programmable gate arrays to unleash its AI prowess on real-world challenges.


quest-for-ai-leadership-pushes-microsoft-further-into-chip-development?utm_source=MIT+Technology+Review&utm_campaign=7c8e13ebe2-The_Download&utm_medium=email&utm_term=0_997ed6f472-7c8e13ebe2-155909385

#artificialintelligence

Microsoft Corp. says it has the answer with a chip design for its HoloLens goggles--an extra AI processor that analyzes what the user sees and hears right there on the device rather than wasting precious microseconds sending the data back to the cloud. "For an autonomous car, you can't afford the time to send it back to the cloud to make the decisions to avoid the crash, to avoid hitting a person. But the rapid development of artificial intelligence has left some traditional chip makers facing real competition for the first time in over a decade. More recently, in an effort to take on Google and Amazon.com Inc. in cloud services, the company used customizable chips known as field programmable gate arrays to unleash its AI prowess on real-world challenges.


Cloud Security -- Role of Artificial Intelligence – Rank Software – Medium

#artificialintelligence

In the Shared Responsibility Model for Cloud Security, Visibility across the diverse IaaS & SaaS application set is key for customers peace of mind. Not only do they help provide Visibility across the diverse IaaS & SaaS setups and enable Rapid Response, the Behavioral models also allow for a proactive approach to Security. Sophisticated software based tools can detect anomalous behavior by detecting unusually large data transfers and leakage of sensitive data to cloud; as well as provide full visibility for secure usage and operations of enterprise cloud services such as Office 365. Combining Big Data Technologies, Machine Learning and patented Algorithms, RANK's User & Entity Behavior platform helps discover insightful information and actionable intelligence around insider threats, targeted attacks and more.


AI pushes Microsoft further into chip development - TechCentral

#artificialintelligence

Technology companies are keen to bring artificial intelligence features to phones and augmented reality goggles -- the ability show mechanics how to fix an engine, say, or tell tourists what they are seeing and hearing in their own language. Microsoft says it has the answer with a chip design for its HoloLens goggles -- an extra AI processor that analyses what the user sees and hears right there on the device rather than wasting precious microseconds sending the data back to the cloud. But the rapid development of artificial intelligence has left some traditional chip makers facing real competition for the first time in over a decade. More recently, in an effort to take on Google and Amazon.com in cloud services, the company used customisable chips known as field programmable gate arrays to unleash its AI prowess on real-world challenges.


Making logistics processes smarter with cloud

#artificialintelligence

With artificial intelligence (AI) gaining pace, businesses are rethinking and redesigning their operations to make their logistics'smarter', to make new age solutions like anticipatory and elastic logistics possible. AI is transforming the way business operations are performed, making the ecosystem connected and making it a'smarter world.' When AI is infused with'cognitive' systems--next-generation systems that work side by side with humans, accelerating our ability to create, learn, make decisions and think--it then transcends barriers of scale, speed, scope and standards. Today, the confluence of four fundamental shifts - IoT, AI, changing business demands and real-time API's is making a huge paradigm shift that helps organizations become smarter and better.


HoloLens 2 will have a custom AI chip designed by Microsoft

#artificialintelligence

The second is by creating custom AI processors, architectures, and software, which is what companies like ARM and Qualcomm are doing. This race to build AI processors for mobile devices is running alongside work to create specialized AI chips for servers. Building out the HoloLens' on-device AI capabilities could help with this goal, if only by focusing the company's expertise on chip architectures needed to handle neural networks. For the second generation HoloLens, the AI coprocessor will be built into its "Holographic Processing Unit" or HPU -- Microsoft's name for its central vision-processing chip.


Deloitte and SAP Collaborate for Machine Learning, IoT and Blockchain

#artificialintelligence

Deloitte Consulting and SAP also intend to create new "micro-services" that extend the capabilities of SAP Leonardo, with an initial plan to focus on offerings that address evolving machine learning, analytics, and IoT needs in finance and throughout the supply chain. Through this collaboration, we're building a foundation--a set of co-innovation practices and processes--that will help position Deloitte Consulting to continuously develop and refine digital solutions for clients across industries," said Jim Moffatt, Deloitte Managing Partner, Global Consulting. "By working together to invent digital solutions that address tomorrow's finance and supply chain needs, SAP will gain Deloitte Consulting's in-depth business process knowledge and understanding of how organizations will use technologies in the future. Deloitte Consulting and SAP also plan to develop and release a series of industry-specific offerings to help organizations accelerate digital transformation with software as a service (SaaS), providing "SaaS Innovation for Digital Core" to industries.


Specialized Collections of Machine Learning APIs Could Be Interesting - DZone AI

#artificialintelligence

I was learning more about CODEX from Algorithmia, their enterprise platform for deploying machine learning API collections on premise or in the cloud. I feel like this is where algorithmic-centered API deployment is heading, potentially creating some very interesting and hopefully specialized collections of machine learning APIs. I see the potential when it comes to supporting machine learning APIs that service an image or video processing pipeline -- something I've enjoyed thinking about with my drone prototype. Thinking about how I can develop prototype machine learning API collections, that could be used for a variety my content, data, image, or video side-projects.


[slides] Alexa, Manage My Storage @DevOpsSummit @Tintri #AI #ML #DevOps #DataCenter

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.