AI-Driven Personalization: Enhancing Consumer Engagement

We live in a world where personalized consumer experiences are increasingly the norm. To think, a couple of decades ago, the only options at the coffee shop were cream and sugar or black. Nowadays, you assume you’ll be able to order your half-caff, no-foam, almond milk…

Skip Levens, Marketing Director, Media & Entertainment, Quantum – Interview Series

Skip Levens is a product leader and AI strategist at Quantum, a leader in data management solutions for AI and unstructured data. He is currently responsible for driving engagement, awareness, and growth for Quantum’s end-to-end solutions. Throughout his career – which has included stops at organizations like Apple, Backblaze, Symply, and Active…

Google Imagen 3 vs. The Competition: A New Benchmark in Text-to-Image Models

Artificial Intelligence (AI) is transforming the way we create visuals. Text-to-image models make it incredibly easy to generate high-quality images from simple text descriptions. Industries like advertising, entertainment, art, and design already employ these models to explore new creative possibilities. As technology continues to evolve, the…

A Call to Moderate Anthropomorphism in AI Platforms

OPINION Nobody in the fictional Star Wars universe takes AI seriously. In the historic human timeline of George Lucas’s 47 year-old science-fantasy franchise, threats from singularities and machine learning consciousness are absent, and AI is confined to autonomous mobile robots (‘droids’) – which are habitually dismissed…

UK secures £6.3B in data infrastructure investments

Four major US firms have announced plans to invest a combined £6.3 billion in UK data infrastructure.  The announcement, made during the International Investment Summit, was welcomed by Technology Secretary Peter Kyle as a “vote of confidence” in Britain’s approach to partnering with businesses to drive…

MIT economists Daron Acemoglu and Simon Johnson share Nobel Prize in economics

MIT economists Daron Acemoglu and Simon Johnson PhD ’89, whose work has illuminated the relationship between political systems and economic growth, have been named winners of the 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. Political scientist James Robinson, with whom they have worked closely, also shares the award.

“Societies with a poor rule of law and institutions that exploit the population do not generate growth or change for the better,” the Nobel academy stated in its citation. “The laureates’ research helps us understand why.”

“I am delighted. It is a real shock and amazing news,” Acemoglu told the committee by phone at the Nobel announcement.

His long-term research collaboration with Johnson has empirically supported the idea that government institutions that provide individual rights, especially democracies, have spurred greater economic activity over the last 500 years. In a related line of research, Acemoglu has helped build models to account for political changes in many countries.

Acemoglu is an Institute Professor at MIT. He has also made notable contributions to labor economics by examining the relationship between skills and wages, and the effects of automation on employment and growth. Additionally, he has published influential papers on the characteristics of industrial networks and their large-scale implications for economies.

A native of Turkey, Acemoglu received his BA in 1989 from the University of York, in England. He earned his master’s degree in 1990 and his PhD in 1992, both from the London School of Economics. He joined the MIT faculty in 1993 and has remained at the Institute ever since. Acemoglu has authored or co-authored over 120 peer-reviewed papers and published four books. He has also advised over 60 PhD students at MIT.

Johnson is the Ronald A. Kurtz Professor of Entrepreneurship at the MIT Sloan School of Management. He has also written extensively about a broad range of additional topics, including development issues, the finance sector and regulation, fiscal policy, and the ways technology can either enhance or restrict broad prosperity.

A native of England, Johnson received his BA in economics and politics from Oxford University, an MA in economics from the University of Manchester, and his PhD in economics from MIT.  From 2007 to 2008, Johnson was chief economist of the International Monetary Fund.

Acemoglu and Johnson are co-authors of the 2023 book “Power and Progress: Our 1,000-Year Struggle over Technology and Prosperity,” in which they examine AI in light of other historical battles for the economic benefits of technological innovation.

Acemoglu’s books include “Why Nations Fail” (2012), with political scientist and co-laureate James Robinson, which synthesized much of his research about political institutions and growth. His book “The Narrow Corridor” (2019), also with Robinson, examined the historical development of rights and liberties in nation-states.

Johnson is also co-author of “13 Bankers” (2010), with James Kwak, an examination of U.S. regulation of the finance sector, and “Jump-Starting America” (2021), co-authored with MIT economist Jonathan Gruber, a call for more investment in scientific research and innovation in the U.S.

Previously, eight people have won the award while serving on the MIT faculty: Paul Samuelson (1970), Franco Modigliani (1985), Robert Solow (1987), Peter Diamond (2010), Bengt Holmström (2016), Abhijit Banerjee and Esther Duflo (2019), and Josh Angrist (2021). Through 2022, 13 MIT alumni have won the Nobel Prize in economics; eight former faculty have also won the award.

This article will be updated later this morning.

CSS Tricks That Use Only One Gradient

CSS gradients have been so long that there’s no need to rehash what they are and how to use them. You have surely encountered them at some point in your front-end journey, and if you follow me, you also …

CSS Tricks That Use Only One Gradient…

SHOW-O: A Single Transformer Uniting Multimodal Understanding and Generation

Significant advancements in large language models (LLMs) have inspired the development of multimodal large language models (MLLMs). Early MLLM efforts, such as LLaVA, MiniGPT-4, and InstructBLIP, demonstrate notable multimodal understanding capabilities. To integrate LLMs into multimodal domains, these studies explored projecting features from a pre-trained modality-specific…