Stripe dives into stablecoins rolls out major AI tools
Stripe unveiled a slew of new product launches at its annual Stripe Sessions user event on Wednesday, including an AI ...
Stripe unveiled a slew of new product launches at its annual Stripe Sessions user event on Wednesday, including an AI ...
Apple is exploring the integration of AI search engines from OpenAI, Perplexity, and Anthropic into its Safari browser, according to ...
Figma has launched a suite of AI-powered tools designed to streamline the creation of websites, app prototypes, and marketing assets. ...
CrowdStrike, a leading cybersecurity firm, announced on Wednesday that it will lay off around 500 employees, constituting 5% of its ...
OpenAI has met with officials from the U.S. Food and Drug Administration (FDA) to discuss using AI to speed up ...
Amazon has developed a new warehouse robot called Vulcan, capable of "feeling" items it handles through the use of force ...
Amazon Web Services is developing an AI-powered code generation tool, codenamed "Kiro," according to internal documents viewed by Business Insider. ...
Salesforce CEO Marc Benioff has criticized Microsoft's past dealings with Slack, warning that the tech giant may use similar anticompetitive ...
Netflix is testing a short-form video feature, signaling its efforts to retain viewer attention amidst growing competition from apps like ...
Netflix officially unveiled its new AI-powered search feature at its tech and product event on Wednesday, following hints at the ...
VSCO has launched Canvas, an AI-powered collaborative moodboard designed for photographers and artists to visualize and refine their ideas. The ...
The ROC curve, or receiver operating characteristic curve, serves as an essential tool for assessing the performance of binary classifiers. ...
LLM inference is a fascinating aspect of artificial intelligence that hinges on the capabilities of Large Language Models (LLMs). These ...
Variational autoencoders (VAEs) have gained traction in the machine learning community due to their innovative approach to data generation and ...
MLOps for Generative AI is revolutionizing how machine learning models are developed, deployed, and maintained, especially in fields where creativity ...
Reinforcement learning from AI Feedback is revolutionizing the way machines learn by integrating valuable human insights. As artificial intelligence continues ...
Explainable AI (XAI) has gained significant attention in recent years as the complexity of artificial intelligence systems grows. As these ...
ML model cards represent an innovative step towards transparency and ethical practices in the field of machine learning. By providing ...
Open-source LLMs are transforming the landscape of artificial intelligence, granting users unparalleled freedom to experiment and innovate. These models provide ...
ML model management is a vital discipline in the realm of machine learning (ML), ensuring that models not only perform ...
Transformer models have transformed the landscape of natural language processing (NLP) and have become essential tools in machine learning. These ...
Model-driven architecture (MDA) is revolutionizing the way software development is approached by emphasizing the use of abstract models over traditional ...
No-code and low-code machine learning platforms are revolutionizing the way businesses approach AI by minimizing the technical barriers traditionally associated ...
Recall-oriented understudy for gisting evaluation (ROUGE) is an important measure within the realm of natural language processing (NLP), serving as ...
Google has launched Gemini 2.5 Pro Preview (I/O edition), an updated version of its flagship Gemini 2.5 Pro AI model, ...
OpenAI expects to reduce the share of its revenue paid to Microsoft by 2030, according to a report by The ...
Google is introducing a new "Simplify" feature in its iOS app, leveraging AI to make dense text on the web ...
Rep. Kat Cammack has introduced the App Store Freedom Act, a bill that would require large app store operators like ...
Nvidia has announced that its GeForce RTX 5060 graphics card will be available for purchase on May 19th, starting at ...
Reddit is tightening its verification process to keep out human-like AI bots, the company's CEO Steve Huffman announced on Monday. ...
Hugging Face has released Open Computer Agent, a free, cloud-hosted AI tool that can perform tasks on a virtual Linux ...
Spotify has introduced a new feature that allows users to see how many times a podcast episode has been listened ...
The U.S. Department of Justice is proposing that Google sell two of its advertising products to restore competition in the ...
Rockstar Games has released the second trailer for Grand Theft Auto VI, providing a deeper look into the game's story ...
Samsung is introducing a contactless Tap to Transfer feature in its Wallet app in the US later this month, allowing ...
Microsoft is revamping the Windows 11 Start menu and introducing several new AI features this month, initially available to Windows ...
Suno has released version 4.5 of its AI music creation tool, bringing significant improvements across various areas, including expanded genre ...
For years, the Eterna100 benchmark stood as a formidable challenge in computational biology, a set of 100 complex RNA design ...
Failure analysis machine learning is a critical aspect of ensuring that machine learning models perform reliably in production environments. Understanding ...
Generative pre-trained transformer (GPT) has revolutionized the field of natural language processing (NLP) by enabling machines to generate coherent and ...
Underfitting in machine learning is an important topic that many practitioners encounter during the development of predictive models. It often ...
Recall in machine learning is a critical measure that plays a vital role in evaluating classification models. Understanding how well ...
VGGNet has become a cornerstone in the field of deep learning, specifically in the domain of image recognition. Developed by ...
Principal component analysis (PCA) is a powerful technique that has transformed the way data scientists process and analyze information. By ...
Multilingual LLMs are a fascinating intersection of technology and language, enabling seamless communication across different cultures and languages. As we ...
Parameter-efficient fine-tuning is revolutionizing how we approach the optimization of large language models (LLMs). With the rising demand for tailored ...
The six-month moratorium on AI development has sparked significant discussions around the ethics and societal implications of rapidly advancing technologies. ...
LLM cost has emerged as a critical concern for businesses and developers leveraging large language models (LLMs) for their applications. ...
Grouped query attention (GQA) represents a significant advancement in self-attention mechanisms used in neural networks, particularly benefiting the realm of ...
The K-Nearest Neighbor (KNN) algorithm is an intriguing method in the realm of supervised learning, celebrated for its simplicity and ...