Blackbox

Future bio-AI breakthroughs will arise from novel high-throughput low-cost AI-specific “black-box” data modalities.Continue reading on Towards Data Science » Future bio-AI breakthroughs will arise from novel high-throughput low-cost AI-specific “black-box” data modalities.Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the…

Ubisoft has released a trailer for its next addition to the Assassin’s Creed franchise. The trailer not only reveals the gameplay but also the launch date of the upcoming title. The developing studio has also updated the PlayStation Blog to reveal that Assassin’s Creed Mirage will be released on October 12 and the game is now available for pre-order. For the 15th anniversary of the popular franchise, the studio feels that this is “the perfect opportunity to make a game going back to our roots, in terms of gameplay,…

Explain any black-box model to non-technical peoplePhoto by Alexander GreyToday, you can’t just come up to your boss and say, “Here is my best model. Let’s put it into production and be happy!”. No, it doesn’t work that way now. Companies and businesses are being picky over adopting AI solutions because of their “black box” nature. They demand model explainability.If ML specialists are coming up with tools to understand and explain the models they created, the concerns and suspicions of non-technical folks are entirely…

Comparing Brute force and Black-box Optimization Methods in PythonImage by PhotoMIX Company on PexelsIn machine learning, hyperparameters are values used to control the learning process for a machine learning model. This is to be distinguished from internal machine learning model parameters that are learned from the data. Hyperparameters are values that are external to machine learning training data that determine the optimality of a machine learning model’s performance. Each unique set of hyperparameters correspond to a…

While the performance of a machine learning model can seem impressive, it might not be making a significant impact to the business unless it is able to explain why it has given those predictions in the first place.Photo by おにぎり on UnsplashA lot of work has been done with the hyperparameter tuning of various machine learning models in order to finally get the output of interest for the end-business users so that they can take actions according to the model. While your company understands the power of machine learning and…

Data exploration and knowledge generation using non-linear models(source: flaticon)Black-box/non-linear models can automatically model complex relationships in data. Capturing these relationships is what increases their accuracy compared to linear models. However, accurate predictions are only one of the benefits. We can analyse the black-box models to learn how they make those predictions. This can reveal underlying relationships in our dataset. In some cases, these can be completely new to us. In this way, machine…

As EV battery fires continue unabated in the country, the National Highways for Electric Vehicles (NHEV) has come up with safety recommendations related to battery swapping and charging infrastructure. The suggestions also include installing a black-box like feature to monitor battery systems and identifying the issues that lead to battery failure. The organisation has issued 12 guidelines that include identifying battery failure issues along with problems regarding battery fires through an identification device. “Four…

Build trust in machine learning with XAI, Guide to SHAP & SHapley ValuesPhoto by Tara Winstead on pexelsWith the advent of AI becoming more advanced and becoming a crucial part of our lives, the danger comes when we don’t understand the effects and side effects of AI. It is important to understand how to differentiate between the fact and fantasies of the AI decision-making process while retaining the AI efficiencies and providing the most transparency with the outcomes. All this can be achieved with Explainable AI…