The gaming industry has always been at the forefront of technological innovations, and the rise of artificial intelligence (AI) is no exception. With the increasing popularity of OpenAI’s chatbot ChatGPT and other AI-powered technologies, the industry is poised to take advantage of the many advancements in machine learning and natural language processing. In particular, Animoca, a global leader in digital
Climate change remains the greatest challenge facing humanity and we need all the tools at our disposal to tackle it. One of the most promising tools is Artificial Intelligence (AI), which can play a significant role in predicting and mitigating the impacts of climate change. However, the popularity of AI and its exponential power may also undermine current climate action,
Meta, formerly known as Facebook, is moving forward with plans to make the next version of LLaMA, its open-source large language model (LLM), commercially available. This news comes despite inquiries from lawmakers and concerns about LLaMA’s leak to 4chan, a website known for hosting controversial content. The move to make LLaMA commercially available underscores Meta’s commitment to open-source AI, which
Computer science and artificial intelligence (AI) have taken the world by storm in the past decade. The rapid development of technology in these fields has presented new opportunities and challenges for society. As automation becomes increasingly prevalent in the workforce, the demand for computer science and AI skills is growing at an unprecedented rate. In the United States, however, the
In today’s world, businesses are generating an unprecedented amount of data. This data comes from a variety of sources, including customer interactions, social media, sensors, and more. To make sense of all this information, companies must adopt effective data management principles. Data management refers to the process of organizing, storing, protecting, and maintaining data so that it can be easily
As data continues to grow at an unprecedented pace, businesses need to find ways to extract insights and generate value from their data assets. The rise of self-service analytics is a testament to this need. With self-service analytics, business users can access and analyze data without assistance or support from IT personnel or data scientists. However, the rise of self-service
As businesses increasingly rely on data to make decisions, it is becoming imperative that the data driving these decisions is trustworthy. This is where data lineage comes in. Data lineage can be described as a historical map of data’s journey within an organization. It tracks data from its origin to its final destination, capturing changes as the data is processed,
“Can machines be funny?” That’s a question that has been asked by many researchers exploring the field of computational humor. A recent study by researchers at Stanford University and Google Research set out to find the answer, taking a look at the humor-generating capabilities of ChatGPT, one of the largest language models in the world. ChatGPT is part of the
Data labeling has been critical in preparing data for machine learning and artificial intelligence. However, traditional data labeling methods can only go so far. That is why Snorkel AI is introducing new capabilities beyond data labeling. The new tools will help organizations curate and prepare data for generative AI, ensuring that the data is optimized for this subfield of AI.
VMware, a leading provider of virtualization and cloud computing software, has announced its latest enhancements to its Digital Employee Experience Management (DEX) solution. The Palo Alto-based company has been investing heavily in its DEX solution since its acquisition of Apteligent in 2017. The company’s latest announcement includes four unique enhancements to its DEX solution, aiming to further improve IT efficiency,
The rise of big data has led to an increase in demand for data analysts, scientists, and engineers. However, to effectively work with data, one has to choose the right programming language that suits their needs and expertise. In this article, we will discuss the best programming languages for data analysts, the most commonly used languages by data scientists, and
Artificial Intelligence (AI) has become an integral part of our daily lives, with its influence expanding rapidly in recent years. From various aspects of our work to our personal lives, AI is now present nearly everywhere we turn. As such, it’s crucial that we as humans ensure that these algorithms and machines function in a way that is ethical, empathetic,
