EnterpriseAI

Aug 21, 2024 | enterpriseai.news | Ali Azhar

Proteins, life’s building blocks, perform a wide range of functions based on their unique shapes. The molecules fold into specific forms and shapes that define their roles, from catalyzing biochemical reactions to providing structural support and enabling cellular communication. Predicting the protein structure is challenging due to the complexity of the folds and shapes. Even slight variations in folding can significantly alter a protein's function.

Aug 21, 2024 | enterpriseai.news | Kevin Jackson

Governments are scrambling to stay ahead of the AI tsunami, and for good reason. Like any other useful technology, AI presents a gigantic economic opportunity for governments worldwide. In fact, PricewaterhouseCoopers (PwC) has estimated that AI could contribute up to $15.7 trillion to the global economy in 2030 – which would be more than the current economic output of both China and India combined. PwC has also provided a breakdown of where this money is likely to come from.

Aug 20, 2024 | enterpriseai.news | Ali Azhar

Extreme weather events are becoming increasingly severe and frequent. From record-breaking heat waves to widespread flooding during hurricanes, the impact of such events on communities and economies is profound. The extreme weather phenomena cause $150 billion in damage annually in the U.S. alone. Hurricane Beryl recently swept through the U.S., causing an estimated $2.5 to $4.5 billion in insured damages and triggering prolonged power outages across Texas.

Aug 16, 2024 | enterpriseai.news | Kevin Jackson

Most people don’t think about just how miraculous the human brain is. This organ contains about 80 billion neurons, each of which is connected to as many as 10,000 other neurons. Mapping the neurons themselves is a challenging endeavor, but trying to understand the connections between them is nothing short of a herculean task. While fully mapping the human brain will take many more years of hard work, scientists at Argonne National Laboratory are laying the foundation for future explorations.

Aug 15, 2024 | enterpriseai.news | Kevin Jackson

In a recent paper,  the authors suggest that AI models collapse when trained on recursively generated data points from previous LLM models. Basically, the snake is eating its tail. Generative-AI has been successful in mining the Internet to create large LLM models that provide human-like answers to many problems. In particular, creating new text has been a forte of many LLMs. LLMs create a large amount of text from document summation to report generation.