The total amount of stuff shuffled around the world is truly dizzying. And everything produced based on a wrong forecast can only become waste. There are more than $2 trillion of inventory in the United States alone, $2.04 trillion last time I checked — $2,040 billions. And that is just the United States, a country that tracks figures closely. Keep in mind the US is a service-driven economy, and a fraction of global GDP anyways.Read More
Some liken the practice of law to the playing of chess. Lawyers need to conceive of their legal moves and countermoves related to opposing counsel. AI chess-playing systems have gotten quite good and there are lessons to be learned therein
It is handy to consider the state-space complexity in the construct of legal argumentation. Predictions are that the use of AI legal reasoning will ultimately be integral to legal arguments
While appreciation of the potential impact AI can have on business processes has been building for some time, progress has not nearly been as quick as many initial forecasts led many organizations to expect.
Arin Bhowmick, chief design officer for IBM, explained to VentureBeat what needs to be done to achieve the level of AI explainability that will be required to take AI to the next level in the enterprise.
Those working with Neural Networks know how complicated Object Detection techniques can be. It is no wonder there is no straight forward resource for training them. You are always required to convert your data to a COCO-like JSON or some other unwanted format. It is never a plug and play experience. Moreover, no diagram thoroughly explains Faster R-CNN or YOLO as there is for U-Net or ResNet. There are just too many details.Read More
An accelerator program targeting mature artificial intelligence (AI) companies has been launched in Victoria, aiming to be supported by a $100 million venture capital fund. The Boab AI Scaleup program has already received about $1.5 million backing from LaunchVic and $8 million in private sector capital last year via venture capital manager, Artesian.Read More
MobileNetv3 incorporate apply novel ideas such as AutoML and mobile deep learning to computer vision. Mobile deep learning is becoming one of the most active areas of research in the artificial intelligence(AI) space. Designing deep learning models that can execute efficiently on mobile runtimes requiring rethinking many of the architecture paradigms in neural networks. Mobile deep learning models need to balance the accuracy of complex neural network structures with the performance constraints of mobile runtimes.Read More
Compared to machines, humans are slow and inconsistent. Managing the end-to-end process of a delivery system from acquiring data, managing data, understanding it and making decisions, can be difficult and tiring. Demand is uncertain, supply is at risk, competition is intense. Supply chain (SC) excellence often relies on the organisation’s ability to incorporate the end-to-end processes of getting materials or components, assembling them into products, and delivering them to the customers.Read More
The pandemic has driven many companies to accelerate digital transformation. This is particularly true in manufacturing, where the pandemic has forced businesses think about how to operate with fewer workers on machine shop floors and assembly lines.Read More
Hey, there hope you are doing well. So, recently I started going through the Fast.AI deep learning curriculum where two brilliant persons — Jeremy Howard and Rachel Thomas teach Deep Learning. One is a very experienced programmer and another is a mathematician so what could be a better combination .Read More