gilmore
Donald Trump Jr.'s Private DC Club Has Mysterious Ties to an Ex-Cop With a Controversial Past
Donald Trump Jr.'s Private DC Club Has Mysterious Ties to an Ex-Cop With a Controversial Past The Executive Branch has a reported membership list that includes Trumpworld elites like David Sacks. A WIRED review of corporate filings reveals an under-the-radar player: a notorious former DC police officer. When the Executive Branch soft-launched in Washington, DC, last spring, the private club's initial buzz centered on its starry roster of backers and founding members. The president's eldest son, Donald Trump Jr., is one of the club's several co-owners, according to previous reporting. Founding members reportedly include Trump administration AI czar David Sacks and his podcast cohost Chamath Palihapitiya, as well as crypto bigwigs Tyler and Cameron Winklevoss.
How AI is helping power performance in the pool
Dan Eisenhardt, founder and CEO of Form Athletica Inc., wears the company's swim goggles, which have a smart display inside them, in North Vancouver, on June 7, 2021. It was during an entrepreneurship class at the University of British Columbia 15 years ago that Dan Eisenhardt came up with the idea to make performance-tracking swim goggles similar to what runners and cyclists were starting to use on their wrists. It was a far-fetched idea back then, Mr. Eisenhardt recalls, a life-long and college-level competitive swimmer, but he put a team together to develop the concept. It turned out it wasn't possible – then. "Back in 2006, you didn't have the level of miniaturization in electronics that you have today, so we ended up pivoting for this school project into ski goggles instead," Mr. Eisenhardt says.
The Next Era of American Law Amid the Advent of Autonomous AI Legal Reasoning
Legal scholars have postulated that there have been three eras of American law to-date, consisting in chronological order of the initial Age of Discovery, the Age of Faith, and then the Age of Anxiety. An open question that has received erudite attention in legal studies is what the next era, the fourth era, might consist of, and for which various proposals exist including examples such as the Age of Consent, the Age of Information, etc. There is no consensus in the literature as yet on what the fourth era is, and nor whether the fourth era has already begun or will instead emerge in the future. This paper examines the potential era-elucidating impacts amid the advent of autonomous Artificial Intelligence Legal Reasoning (AILR), entailing whether such AILR will be an element of a fourth era or a driver of a fourth, fifth, or perhaps the sixth era of American law. Also, a set of meta-characteristics about the means of identifying a legal era changeover are introduced, along with an innovative discussion of the role entailing legal formalism versus legal realism in the emergence of the American law eras.
Retail Under Pressure
Micro-fulfillment that helps retailers meet service level agreements. Thinking back to a time when e-commerce was in its infancy and companies were setting up separate warehouses dedicated to this new sales channel, it was clear that harnessing the e-commerce monster wasn't going to be easy. Fast-forward to 2020 and retailers are still trying to figure out how to do it efficiently, effectively and without losing their shirts in the process. One viable option that more of them are leaning toward is micro-fulfillment, or the placement of smaller warehouses closer to the end consumer. "For most retailers, the operational driver right now is: 'how do I respond to the same-day, couple-of-hours service level agreements (SLAs) within a specific metro area?" Khodl explains.
The Power Of Purpose: How We Counter Hate Used Artificial Intelligence To Battle Hate Speech Online
One of the most fascinating examples of social innovation I've been tracking recently was the We Counter Hate platform, by Seattle-based agency POSSIBLE (now part of Wunderman Thompson Seattle) that sought to reduce hate speech on Twitter by turning retweets of these hateful messages into donations for a good cause. Here's how it worked: Using machine learning, it first identified hateful speech on the platform. A human moderator then selected the most offensive and most dangerous tweets and attached an undeletable reply, which informed recipients that if they retweet the message, a donation will be committed to an anti-hate group. In a beautiful twist this non-profit was Life After Hate, a group that helps members of extremist groups leave and transition to mainstream life. Unfortunately (and ironically) on the very day I reached out to the team, Twitter decided to allow users to hide replies in their feeds in an effort to empower people faced with bullying and harassment, eliminating the reply function which was the main mechanism that gave #WeCounterHate its power and led to it being able to remove more than 20M potential hate speech impressions.
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation
Wang, Zhengyang, Zou, Na, Shen, Dinggang, Ji, Shuiwang
An important step in early brain development study is to perform automatic segmentation of infant brain magnetic resonance (MR) images into cerebrospinal fluid (CSF), gray matter (GM) and white matter (WM) regions. This task is especially challenging in the isointense stage (approximately 6-8 months of age) when GM and WM exhibit similar levels of intensities in MR images. Deep learning has shown its great promise in various image segmentation tasks. However, existing models do not have an efficient and effective way to aggregate global information. They also suffer from information loss during up-sampling operations. In this work, we address these problems by proposing a global aggregation block, which can be flexibly used for global information fusion. We build a novel model based on 3D U-Net to make fast and accurate voxel-wise dense prediction. We perform thorough experiments, and results indicate that our model outperforms previous best models significantly on 3D multimodality isointense infant brain MR image segmentation.
Amazon is making 'Breakaway' and other video games to show off Twitch and the cloud
Amazon.com's first big-budget video game is like street basketball, except played in a mythological world where athletes are armed. Wait, Amazon makes video games? Indeed, the leader in online shopping branched into video game development a few years ago. With the unveiling last month of multiplayer online battle sport "Breakaway," Amazon for the first time showed how its gaming acquisitions and initiatives tie together. The PC game integrates into Twitch, the live video streaming app Amazon bought for nearly 1 billion, unlike any game from anyone ever before.
A computing procedure for quantification theory
The hope that mathematical methods employed in the investigation of formal logic would lead to purely computational methods for obtaining mathematical theorems goes back to Leibniz and has been revived by Peano around the turn of the century and by Hilbert's school in the 1920's. Hilbert, noting that all of classical mathematics could be formalized within quantification theory, declared that the problem of finding an algorithm for determining whether or not a given formula of quantification theory is valid was the central problem of mathematical logic. And indeed, at one time it seemed as if investigations of this "decision" problem were on the verge of success. However, it was shown by Church and by Turing that such an algorithm can not exist. This result led to considerable pessimism regarding the possibility of using modern digital computers in deciding significant mathematical questions.