AI

[ad_1] Coffee Data ScienceAnother experiment to isolate headspaceHeadspace is the amount of room between the top of the coffee bed and the shower screen during an espresso shot. It is…

[ad_1] Property assessments sit at the center of home appraisals, insurance claims, renovation projects, and a number of other important processes. Inaccurate or delayed assessments can set projects back and…

[ad_1] Towards architecture-aware optimisationTL;DR We’ve derived an optimiser called automatic gradient descent (AGD) that can train ImageNet without hyperparameters. This removes the need for expensive and time-consuming learning rate tuning,…

[ad_1] This article discusses a mindset on building production-ready machine learning solutions when applied to cyber-security needsFigure 1. Anomalies on NL2Bash data. Code. Security analysts want to avoid seeing this…

[ad_1] Evaluation of Transformer Neural Network Modeling Methodologies applied to Behavior Malware TracesFigure 1. Self-attention activations from the Transformer model trained on malware emulation reports. Image by the author.This article…

[ad_1] Essential guide to transfer learningImage by Chen from PixabayThe rapid developments in Computer Vision — image classification use cases have been further accelerated by the advent of transfer learning.…

[ad_1] Data plays a crucial role in the daily operations of organizations. With more data being collected and processed than ever, protecting sensitive information and following relevant data security rules…

[ad_1] Integrating and analyzing data from disparate sources effectively has become paramount. Data integration, while crucial, often presents numerous challenges, ranging from managing data quality to ensuring security.  As organizations…

[ad_1] An example of web app backed by TorchServe model serverImage by author. Exposing an ML model as decoupled model server is way more scalable, extensible and maintainable pattern.In the…

[ad_1] MIT researchers are using artificial intelligence to design new proteins that go beyond those found in nature. They developed machine-learning algorithms that can generate proteins with specific structural features,…