PERFORMANCE


AI is impacting you more than you realize

#artificialintelligence

In today's age of flying cars, robots, and Elon Musk, if you haven't heard of artificial intelligence (AI) or machine learning (ML) then you must be avoiding all types of media. Delivering personalized content experiences to today's consumer is incredibly important, especially given the always-on, constantly connected, multi-device life that we all lead. If one specific placement performed poorly for multiple advertisers with similar KPIs, similar advertisers in the future will not waste money testing that placement. The advertising industry has faced major challenges in relevancy for consumers and brand safety for marketers.


reshaping-computer-aided-design

Robohub

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Columbia University are trying to make the process faster and easier: In a new paper, they've developed InstantCAD, a tool that lets designers interactively edit, improve, and optimize CAD models using a more streamlined and intuitive workflow. Traditional CAD systems are "parametric," which means that when engineers design models, they can change properties like shape and size ("parameters") based on different priorities. Matusik says InstantCAD could be particularly helpful for more intricate designs for objects like cars, planes, and robots, particularly for industries like car manufacturing that care a lot about squeezing every little bit of performance out of a product. "In a world where 3-D printing and industrial robotics are making manufacturing more accessible, we need systems that make the actual design process more accessible, too," Schulz says.


Reshaping computer-aided design

MIT News

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Columbia University are trying to make the process faster and easier: In a new paper, they've developed InstantCAD, a tool that lets designers interactively edit, improve, and optimize CAD models using a more streamlined and intuitive workflow. Traditional CAD systems are "parametric," which means that when engineers design models, they can change properties like shape and size ("parameters") based on different priorities. Matusik says InstantCAD could be particularly helpful for more intricate designs for objects like cars, planes, and robots, particularly for industries like car manufacturing that care a lot about squeezing every little bit of performance out of a product. "In a world where 3-D printing and industrial robotics are making manufacturing more accessible, we need systems that make the actual design process more accessible, too," Schulz says.


AI is impacting you more than you realize

#artificialintelligence

In today's age of flying cars, robots, and Elon Musk, if you haven't heard of artificial intelligence (AI) or machine learning (ML) then you must be avoiding all types of media. Delivering personalized content experiences to today's consumer is incredibly important, especially given the always-on, constantly connected, multi-device life that we all lead. If one specific placement performed poorly for multiple advertisers with similar KPIs, similar advertisers in the future will not waste money testing that placement. The advertising industry has faced major challenges in relevancy for consumers and brand safety for marketers.


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

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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.


AI is impacting you more than you realize

#artificialintelligence

In today's age of flying cars, robots and Elon Musk, if you haven't heard of artificial intelligence (AI) or machine learning (ML) then you must be avoiding all types of media. Delivering personalized content experiences to today's consumer is incredibly important, especially with the always-on, constantly connected, multi-device life that we all lead. If one specific placement performed poorly for multiple advertisers with similar KPIs, similar advertisers in the future will not waste money on testing that placement. The advertising industry has faced major challenges in relevancy for consumers and brand safety for marketers.


Digital culture shock: HR's new role in the age of automation

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In manufacturing, we see the advent of Industry 4.0 – a fourth industrial revolution driven by connected devices and sensors, cloud computing, advanced robotics, intelligent software, and a range of other technologies. Managing change and reskilling employees Technology change is accelerating, leaving many employees and their skills behind. Analytics-powered decision-making With access to a growing pool of data about employees and organisational performance, HR is following the example of marketing and becoming an analytics-driven discipline. Indeed, Deloitte estimated in 2016 that 800,000 jobs were lost to technology in 15 years, but that it seems that it also created 3.5 million new, higher skilled, jobs.


The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)

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This paper, titled "ImageNet Classification with Deep Convolutional Networks", has been cited a total of 6,184 times and is widely regarded as one of the most influential publications in the field. Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton created a "large, deep convolutional neural network" that was used to win the 2012 ILSVRC (ImageNet Large-Scale Visual Recognition Challenge). In this paper titled "Visualizing and Understanding Convolutional Neural Networks", Zeiler and Fergus begin by discussing the idea that this renewed interest in CNNs is due to the accessibility of large training sets and increased computational power with the usage of GPUs. Well, you have a module that consists of a network in network layer, a medium sized filter convolution, a large sized filter convolution, and a pooling operation.


Companies use AI and the Internet of Things to go Green and Save Money

#artificialintelligence

Since IoT can be used at the circuit level to collect data about a system performance in more detail than traditional monitoring systems, much more data about its operation is produced and therefore AI is also necessary to analyze and interpret said data in a timely manner. IoT can provide real time data and historical information of conditions across a network, tracking things like uptime, temperature, pressure and energy usage. At the same time, machine-learning AI is needed to sort through the data provided to help decision makers contextualize the information provided by IoT. "For every device connected to the system, the machine learning algorithms start watching it for a couple weeks and learn that behavior," Oranski said.