AI

This post was written in collaboration with Liran Zelkha and Eyal Solnik from Lili. Small business proprietors tend to prioritize the operational aspects of their enterprises over administrative tasks, such as maintaining financial records and accounting. While hiring a professional accountant can provide valuable guidance and expertise, it can be cost-prohibitive for many small businesses. […]

This post is co-written with Maciej Mensfeld from Mend.io. In the ever-evolving landscape of cybersecurity, the ability to effectively analyze and categorize Common Vulnerabilities and Exposures (CVEs) is crucial. This post explores how Mend.io, a cybersecurity firm, used Anthropic Claude on Amazon Bedrock to classify and identify CVEs containing specific attack requirements details. By using

Tech companies—including OpenAI—are developing a new generation of AI assistants that can not only write code but debug, organize, and critique it, too.

As Donald Trump calls for unity, Elon Musk’s “anti-woke” AI chatbot Grok is promoting claims that Trump is a “pedophile” while referring to the former president as “Psycho.”

With competing models—including many free ones—flooding the market, OpenAI is announcing a cheaper way to use its AI.

This week, we examine the trend among generative AI chatbots to flirt, stammer, and try to make us believe they’re human—a development that some researchers say crosses an ethical line.

Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.

The company announced a new technique to make the workings of its systems more transparent, but people familiar with OpenAI say more oversight is needed.

As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine learning (ML) algorithms enables real-time analysis of high-volume transactional data to rapidly identify fraudulent activity. This advanced capability helps mitigate financial risks and safeguard customer privacy within expanding digital markets. Deloitte is a strategic global

AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. Cohere Command R is a scalable, frontier