We propose a new formulation of the maximum score estimator that uses compositions of rectified linear unit (ReLU) functions, instead of indicator functions as in Manski (1975,1985), to encode the sign alignment restrictions. Since the ReLU function is Lipschitz, our new ReLU-based maximum score criterion function is substantially easier to optimize using standard gradient-based optimization pacakges. We also show that our ReLU-based maximum score (RMS) estimator can be generalized to an umbrella framework defined by multi-index single-crossing (MISC) conditions, while the original maximum score estimator cannot be applied. We establish the $n^{-s/(2s+1)}$ convergence rate and asymptotic normality for the RMS estimator under order-$s$ Holder smoothness. In addition, we propose an alternative estimator using a further reformulation of RMS as a special layer in a deep neural network (DNN) architecture, which allows the estimation procedure to be implemented via state-of-the-art software and hardware for DNN.

Between humans, a kiss on the mouth or cheek is a clear signal of warm feelings. There's no single definitive answer, though canine cognition experts have theories. "If we want to distill it down to one thing, it's communication," says Ellen Furlong, an associate professor of psychology and neuroscience at Transylvania University in Kentucky, where she studies dog behavior. Dogs are highly social and well-attuned to humans. If a pup is interacting with you, it's often with purpose.

Want to Get Into Founder Mode? Paul Graham's viral essay explains why Brian Chesky and Steve Jobs ruled and professional managers stink. But if a manager is smart and the founder is meh, who's better? Fledgling founders entering a three-month residency at Y Combinator often start their term with a bang: Brian Chesky, the cofounder and CEO of Airbnb, fires off an inspirational speech. His company, of course, started with three nobodies going through the program. This year, Chesky topped himself.

On June 8, Republicans adopted a new party platform ahead of a possible second term for former President Donald Trump. Buried among the updated policy positions on abortion, immigration, and crime, the document contains a provision that has some artificial intelligence experts worried: it vows to scrap President Joe Biden's executive order on AI. "We will repeal Joe Biden's dangerous Executive Order that hinders AI Innovation, and imposes Radical Leftwing ideas on the development of this technology," the platform reads. Biden's executive order on AI, signed last October, sought to tackle threats the new technology could pose to civil rights, privacy, and national security, while promoting innovation and competition and the use of AI for public services. It requires developers of the most powerful AI systems to share their safety test results with the U.S. government and calls on federal agencies to develop guidelines for the responsible use of AI domains such as criminal justice and federal benefits programs. Read More: Why Biden's AI Executive Order Only Goes So Far Carl Szabo, vice president of industry group NetChoice, which counts Google, Meta, and Amazon among its members, welcomes the possibility of the executive order's repeal, saying, "It would be good for Americans and innovators."

Fears the Pentagon has been'building killer robots in the basement' may have led to stricter AI rules that mandated all systems must be approved before deployment. The Department of Defense (DoD) recently updated its AI rules among'a lot of confusion about' how it plans to use self-decision-making machines on the battlefield, according to the deputy assistant defense secretary. Michael Horowitz explained at an event this month that the'directive does not prohibit the development of any systems,' but will'make clear what is and isn't allowed' and uphold a'commitment to responsible behavior,' as it develops lethal autonomous systems. While the Pentagon believes the changes should ease the public's minds, some have said they are not'convinced' by the efforts. Fears the Pentagon has been'building killer robots in the basement' may have led to stricter AI rules that mandated all systems must be approved before deployment. News of the update to the Pentagon's 2012 'Autonomy in Weapon Systems,' has sparked a debate online with many people saying'If the Pentagon says they're not doing it, they're doing it.'

Abstract: In Robust Control and Data Driven Robust Control design methodologies, multiple plant transfer functions or a family of transfer functions are considered and a common controller is designed such that all the plants that fall into this family are stabilized. Though the plants are stabilized, the controller might be sub-optimal for each of the plants when the variations in the plants are large. This paper presents a way of clustering stable linear dynamical systems for the design of robust controllers within each of the clusters such that the controllers are optimal for each of the clusters. First a k-medoids algorithm for hard clustering will be presented for stable Linear Time Invariant (LTI) systems and then a Gaussian Mixture Models (GMM) clustering for a special class of LTI systems, common for Hard Disk Drive plants, will be presented. Keywords: Robust Control, Clustering, k-medoids, Gaussian Mixture Models, Hard Disk Drives 1. INTRODUCTION Recently, in most of the personal computers, Solid State Drives (SSD) have replaced HDDs as the data transfer rate of SSDs is much higher than that of HDDs.

"Thirty million developers" are the answer to driving billion-dollar robot startups, exclaimed Eliot Horowitz of Viam last week at Automate. The hushed crowd of about 200 hardware entrepreneurs listened intensely to MongoDB's founder and former CTO (a $20Bn success story). Now, Horowitz aims to take the same approach that he took to democratizing cloud data applications to mechatronics. As I nudged him with questions about how his new platform will speed complex robot deployments to market, he shared his vision of the Viam developer army (currently 1,000 strong) creating applications that can be seamlessly downloaded on the fly to any system and workflow. Unlike RoS which is primarily targeted to the current community of roboticists, Viam is luring the engineers that birthed ChatGPT to revolutionize uncrewed systems with new mechanical tasks addressing everyday needs.

As you may have noticed, I'm pretty obsessed with covering the best A.I. startups. Check out my posts on Prospectus. On this Newsletter I've taken special care to talk about A.I. being used in war and national security and will continue to do so. Recently, I was alarmed about a startup that wants to use Drones equipped with Tasers to help monitor for school shootings. Curiously most of his ethics board resigned in protest.

A deadly drone attack by Yemen's Houthis on the United Arab Emirates (UAE) has exposed the country's vulnerability while jeopardising its reputation as a tourism and business hub and pushing it towards rapprochement with neighbouring Tehran, say analysts. The Iran-backed Houthi rebel group targeted a key oil facility in Abu Dhabi, killing three people. The suspected drone attack also caused a fire at Abu Dhabi's international airport, attracting condemnation and a pledge for retaliation from the UAE. Hailing the attack as "a successful military operation", the Houthi military spokesman Yahya Saree warned they could target more facilities in the UAE, which has been part of the Saudi-led war on Yemen that has killed tens of thousands of people and pushed the country towards humanitarian catastrophe. On Tuesday, Saudi Arabia launched air raids in the Yemeni capital Sanaa, killing more than a dozen people.

Israeli researcher Lena Neufeld examines a 3D model of a malignant tumor, as part of a brain cancer research that uses patients' cells to make 3D printed models of tumours, at Tel Aviv University, Israel August 17, 2021. Picture taken August 17, 2021. Israel and Germany have launched a joint forum to work on advancing the use of artificial intelligence and machine learning in healthcare, with the two nations keen to learn together from the lessons of the coronavirus pandemic. As part of a three-year project, the German Israeli Health Forum for Artificial Intelligence will bring together stakeholders from the health ecosystem, startups and experts of both countries to discuss developments, regulations and applications of AI solutions in the health sector. The initiative is funded by the German Federal Ministry of Health and was established together with the European Leadership Network (Elnet).