In Indiana, Exploration Acres found a way to keep the family farm alive. Exploration Acres has operated its award-winning corn maze for almost 20 years. Breakthroughs, discoveries, and DIY tips sent every weekday. The adage refers to a farmer's goal for their crops if they hope to make the October harvest. And while most Midwesterners are familiar with the axiom, Tim Fitzgerald knows the folksy refrain lost its relevancy decades ago.

Data encoding is a fundamental step in emerging computing paradigms, particularly in stochastic computing (SC) and hyperdimensional computing (HDC), where it plays a crucial role in determining the overall system performance and hardware cost efficiency. This study presents an advanced encoding strategy that leverages a hardware-friendly class of low-discrepancy (LD) sequences, specifically powers-of-2 bases of Van der Corput (VDC) sequences (VDC-2^n), as sources for random number generation. Our approach significantly enhances the accuracy and efficiency of SC and HDC systems by addressing challenges associated with randomness. By employing LD sequences, we improve correlation properties and reduce hardware complexity. Experimental results demonstrate significant improvements in accuracy and energy savings for SC and HDC systems. Our solution provides a robust framework for integrating SC and HDC in resource-constrained environments, paving the way for efficient and scalable AI implementations.

Police departments are often some of the tech industry's earliest adopters of new products like drones, facial recognition, predictive software, and now–artificial intelligence. After already embracing AI audio transcription programs, some departments are now testing a new, more comprehensive tool--software that leverages technology similar to ChatGPT to auto-generate police reports. According to an August 26 report from Associated Press, many officers are already "enthused" by the generative AI tool that claims to shave 30-45 minutes from routine officework. Initially announced in April by Axon, Draft One is billed as the "latest giant leap toward [the] moonshot goal to reduce gun-related deaths between police and the public." The company--best known for Tasers and law enforcement's most popular lines of body cams--claims its initial trials cut an hour of paperwork per day for users.

Adam Gopnik, in his essay about the legacy of the Marquis de Lafayette, points out that Americans rarely understand why Lafayette does not enjoy the exalted reputation in France that he does in America (Books, August 23rd). As Gopnik mentions, supporters of the French Revolution blamed Lafayette for not preventing the royal family's flight from France, in June, 1791. He was responsible, as the commander of the Paris militia, for security at the palace. When the King's disappearance became known, Lafayette colluded in saying that he had been kidnapped, an explanation that quickly fell apart when the King's denunciation of the Revolution was published. Soon afterward, protesters gathered to rally behind a petition objecting to the restoration of the King to the throne, and the National Guard was ordered to disperse them.

Previously, research groups were able to analyze brain activity using electroencephalogram (EEG) tests from which they could use the data to develop predictive models. I was with a friend who had a seizure, and it was incredibly scary. We were sitting at a bar in Brooklyn watching a Mets game, nothing out of the ordinary, when suddenly he just stood up and fell backwards, knocked his head into a chair and went into convulsions. I had no idea he suffered from periodic epileptic seizures. And it's much, much more horrible if you're the one who suffers from seizures.

Prof Raghavan also serves as the Director of the NSF-sponsored Industry/ University Cooperative Research Center for Visual and Decision Informatics. In this role, he co-ordinates several multi-institutional, industry-driven research projects and manages a budget of over 500K/year. From 1997 to 2003, he led a 2.3M research and development project in close collaboration with the USGS National Wetlands Research Center and with the Department of Energy's Office of Science and Technical Information on creating a digital library with data mining capabilities incorporated. His research interests are in Big Data, data mining, information retrieval, machine learning and Internet computing. He has published over 250 peer-reviewed research papers --appearing in top-level journals and proceedings - that cumulatively accord him an h-index of 31, based on citations.