Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it’s critical that humans know when to trust a model’s predictions. source: https://news.mit.edu/2023/improving-machine-learning-models-reliability-0213
Even in cutting-edge fields like machine learning, technology is constantly evolving and innovating. That’s why, if you want to future-proof your skills and make strides up the career ladder, it’s important to commit to learning today’s most important technologies. Today, that means delving into machine learning and data science. You Read more…
Nowadays, threat actors are leaning on new tools and techniques to improve the efficiency of their attacks. Only artificial intelligence (AI) and machine learning move quickly enough to defend organizations in this evolving cyber threat landscape. “In the past three months, we’ve been seeing more speed and speed can kill,” Read more…
A quick-service restaurant chain is running its AI models on machines inside its stores to localize delivery logistics. At the same time, a global pharma company is training its machine learning models on premises, using servers it manages by itself. Cloud computing isn’t going anywhere, but some companies that use Read more…
No-code ML is a subset that tries to make ML more accessible. To deploy AI and machine learning models, no-code ML involves adopting a no-code development platform with a visual, code-free, and frequently drag-and-drop interface. No-code ML analysts have the power of data predictions to help them move faster, which Read more…
AI is already powering search engines, online translators, virtual assistants, and numerous marketing and sales decisions Artificial Intelligence (AI) essentially means developing machines with the ability to think strategically and act for them. AI is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI Read more…
Last week I attended The AI Summit in London, where I discovered how companies are using machine learning (ML) and other forms of AI technology. One session I enjoyed was run by Branded Entertainment Network (BEN), a global product placement and influencer marketing company. Normally I run away from anything Read more…
It is usually better to start with the simplest model suited to the problem and progressively raise the complexity. Machine learning models discover patterns in the training data, which is utilized to estimate the target function and is in charge of translating inputs to outputs from the data set. In Read more…
AI applications have made their way into almost every sector, yet; businesses fail to adopt them. According to Forbes, 83 percent of companies think AI is a strategic priority for them, yet there is a shortage of skilled data scientists. This is not only because AI solutions and expertise are Read more…
Researchers have used machine learning and two experimental designs to optimize a common critical quality attribute of biological therapies. Eliza Yeung, PhD, associate director of process characterization at contract manufacturer Cytovance Biologics, and another researcher relied on statistical software to create two experimental designs to analyze glycosylation, a critical quality Read more…
