Creatify, the AI platform reshaping the video advertising landscape, has raised $15.5 million in Series A funding, co-led by WndrCo and Kindred Ventures. This latest round brings the company’s total funding to $23 million, with backing from early investors including NFDG, Millennium New Horizons, Creator Ventures, and Leadout Capital. In just 18 months since its…
Sarah Alnegheimish’s research interests reside at the intersection of machine learning and systems engineering. Her objective: to make machine learning systems more accessible, transparent, and trustworthy. Alnegheimish is a PhD student in Principal Research Scientist Kalyan Veeramachaneni’s Data-to-AI group in MIT’s Laboratory for Information and Decision Systems (LIDS). Here, she commits most of her energy…
Scientists at the McGovern Institute for Brain Research at MIT and the Broad Institute of MIT and Harvard have re-engineered a compact RNA-guided enzyme they found in bacteria into an efficient, programmable editor of human DNA. The protein they created, called NovaIscB, can be adapted to make precise changes to the genetic code, modulate the…
AI has significantly impacted the operations of every industry, delivering improved results, increased productivity, and extraordinary outcomes. Organizations today rely on AI models to gain a competitive edge, make informed decisions, and analyze and strategize their business efforts. From product management to sales, organizations are deploying AI models in every department, tailoring them to meet…
Personalization – the process of tailoring campaign content to audiences’ specific needs and aspirations – has ascended from a marketing buzzword to a best practice, with 86% of organizations globally delivering some form of personalized marketing to create more relevant experiences. Based on the results, it’s easy to see why so many organizations are doubling…
Laurence Sotsky is Incentify’s CEO and oversees all business and technical operations. He is a seasoned technology executive with extensive experience leading high-growth companies and driving innovation in the SaaS application sector. As an accomplished CEO, he has successfully built and managed high-performing organizations, has extensive international experience and has led three prior organizations to…
When it comes to real-time AI-driven applications like self-driving cars or healthcare monitoring, even an extra second to process an input could have serious consequences. Real-time AI applications require reliable GPUs and processing power, which has been very expensive and cost-prohibitive for many applications – until now. By adopting an optimizing inference process, businesses can…
Large Language Models (LLMs) are quickly transforming the domain of Artificial Intelligence (AI), driving innovations from customer service chatbots to advanced content generation tools. As these models grow in size and complexity, it becomes more challenging to ensure their outputs are always accurate, fair, and relevant. To address this issue, AWS’s Automated Evaluation Framework offers…
Why it matters: Exploring the Machine Learning Periodic Table offers a structured, visual way to understand ML methods and models.
The rise of artificial intelligence resurfaces a question older than the abacus: If we have a tool to do it for us, why learn to do it ourselves? The answer, argues MIT electrical engineering and computer science (EECS) Professor Devavrat Shah, hasn’t changed: Foundational skills in mathematics remain essential to using tools well, from knowing…