In March 2026, Meta quietly dismantled the familiar reporting framework that startup marketers have relied on for years, swapping 'Impressions' for 'Views' and 'Reach' for 'Viewers' while tightening ...

Chemists have long faced a maddening problem. The number of possible useful molecules is so vast that even the ones already ...

Learn how Nihar V. Patel redefines marketplace data science by using causal inference and fairness frameworks to measure spillover effects and drive millions in business growth.

In 2026, Facebook’s algorithm is prioritizing short-form video, with Reels emerging as the key driver of discovery and engagement. Creators who lean into this format can connect with audiences far ...

Graph matching encompasses a class of computational problems aimed at identifying a correspondence between the vertex sets of two graphs so as to maximise structural similarity or alignment. Exact ...

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...

Abstract: We present a novel algorithm that converts CTQWs on arbitrary graphs into efficient quantum circuits through graph matching decomposition. Our approach decomposes the target graph into a set ...

As one of the cutting-edge research areas in modern physics, space-based gravitational wave detection aims at capturing gravitational wave signals in the mHz frequency band. A key technological ...

…French prosecutors have opened a criminal investigation into X over allegations that the company owned by billionaire Elon Musk manipulated its algorithms for the purposes of “foreign interference.” ...

The term “knowledge graph” has been around since 1972, but its current definition can be traced back to Google in 2012. This was followed by similar announcements from companies such as Airbnb, Amazon ...