Even though Data Scientist is no longer the topmost sought job in 2021, according to Glassdoor, it is still one of the most paying jobs in America. The trend came from having market insights and analysis. Everyone was adopting a method involving analytics, and those who were reluctant faced a major setback in company development and expansion. Initially, companies used Microsoft Excel or spreadsheets for the purpose. But soon there were a lot of tools to make the process easier.

Artificial Intelligence is already part of our lives, and as the technology matures it will play a key role in future wars. The accuracy and precision of today's weapons are steadily forcing contemporary battlefields to empty of human combatants. As more and more sensors fill the battlespace, sending vast amounts of data back to analysts, humans struggle to make sense of the mountain of information gathered. This is where artificial intelligence (AI) comes in – learning algorithms that thrive off big data; in fact, the more data these systems analyse, the more accurate they can be. In short, AI is the ability for a system to "think" in a limited way, working specifically on problems normally associated with human intelligence, such as pattern and speech recognition, translation and decision-making.

Ingenuity, a small robotic helicopter currently attached to NASA's Perseverance rover, will attempt the first powered flight on another planet in just over a week. The 4-pound (1.8-kilogram) rotorcraft is attached to the belly of Perseverance, which touched down on Mars on February 18. Ingenuity is now'uncocooned' from its carbon-fibre shield that acted as a protective casing during landing, and is set for deployment from April 8, NASA says. Before it can track the first flight of an aircraft on the Red Planet, Perseverance needs to'drop off' Ingenuity in a clear, safe area that will become the first Martian helipad. Ingenuity carries a small amount of fabric that covered one of the wings of the Wright brothers' aircraft, known as the Flyer, during the first powered, controlled flight on Earth in 1903. A handout photo made available by NASA shows an image of NASA's Ingenuity Helicopter attached to NASA's Perseverance Mars rover. This image was acquired using the SHERLOC WATSON camera, located on the turret at the end of the rover's robotic arm, on Sol 37, the twentieth Martian day of the mission, March 28, 2021.

Federated learning is an emerging data-private distributed learning framework, which, however, is vulnerable to adversarial attacks. Although several heuristic defenses are proposed to enhance the robustness of federated learning, they do not provide certifiable robustness guarantees. In this paper, we incorporate randomized smoothing techniques into federated adversarial training to enable data-private distributed learning with certifiable robustness to test-time adversarial perturbations. Our experiments show that such an advanced federated adversarial learning framework can deliver models as robust as those trained by the centralized training. Further, this enables provably-robust classifiers to $\ell_2$-bounded adversarial perturbations in a distributed setup. We also show that one-point gradient estimation based training approach is $2-3\times$ faster than popular stochastic estimator based approach without any noticeable certified robustness differences.

How to estimate heterogeneity, e.g. the effect of some variable differing across observations, is a key question in political science. Methods for doing so make simplifying assumptions about the underlying nature of the heterogeneity to draw reliable inferences. This paper allows a common way of simplifying complex phenomenon (placing observations with similar effects into discrete groups) to be integrated into regression analysis. The framework allows researchers to (i) use their prior knowledge to guide which groups are permissible and (ii) appropriately quantify uncertainty. The paper does this by extending work on "structured sparsity" from a traditional penalized likelihood approach to a Bayesian one by deriving new theoretical results and inferential techniques. It shows that this method outperforms state-of-the-art methods for estimating heterogeneous effects when the underlying heterogeneity is grouped and more effectively identifies groups of observations with different effects in observational data.

Reinforcement learning has achieved remarkable performance in a wide range of tasks these days. Nevertheless, some unsolved problems limit its applications in real-world control. One of them is model misspecification, a situation where an agent is trained and deployed in environments with different transition dynamics. We propose an novel framework that utilize history trajectory and Partial Observable Markov Decision Process Modeling to deal with this dilemma. Additionally, we put forward an efficient adversarial attack method to assist robust training. Our experiments in four gym domains validate the effectiveness of our framework.

Global executives fear the increased utilization of AI as the industry is still uncertain about the intelligent technology's full capabilities and potential With the accelerated pace of digital marketing, enterprises have already begun to make decisions about adopting AI-driven solutions. A recent US Policy report'National Security Commission on Artificial Intelligence' states that Americans have not yet understood the exact consequences of AI adoption on their national security, welfare and economy. The 756 pages report underlines the fact that while AI should benefit the country, it should also defend it against AI's destructive capabilities. True, there is undiscovered knowledge that might reveal overwhelming possibilities. Experts also reflect on Open AI's CLIP and Facebook's new AI-model SEER.

Ahead of next week's Symposium on the Future Networked Car, ITU News caught up with Chaesub Lee, Director of the ITU Telecommunication Standardization Bureau, to learn more about the need for international standards to driving digital transformation in the automotive industry. What are the key issues to be discussed at next week's symposium? One key focus will be the discussion of where we stand today and what it will take, going forward, for connected cars and autonomous driving to earn public trust. We will look at automotive cybersecurity, with regulators sharing insight into new regulations from the United Nations Economic Commission for Europe (UNECE) on Cybersecurity (UN Regulation 155) and Software Updates (UN Regulation 156). We will also look at people's current perceptions and future expectations about autonomous driving.

Doctored videos or deepfakes have been one of the key weapons used in propaganda battles for quite some time now. Donald Trump taunting Belgium for remaining in the Paris climate agreement, David Beckham speaking fluently in nine languages, Mao Zedong singing'I will survive' or Jeff Bezos and Elon Musk in a pilot episode of Star Trek… all these videos have gone viral despite being fake, or because they were deepfakes. Last year, Marco Rubio, the Republican senator from Florida, said deepfakes are as potent as nuclear weapons in waging wars in a democracy. "In the old days, if you wanted to threaten the United States, you needed 10 aircraft carriers, and nuclear weapons, and long-range missiles. Today, you just need access to our Internet system, to our banking system, to our electrical grid and infrastructure, and increasingly, all you need is the ability to produce a very realistic fake video that could undermine our elections, that could throw our country into tremendous crisis internally and weaken us deeply," Forbes quoted him as saying.

BESSEMER, Ala.: Linda Burns was excited at first to land a job at the Amazon warehouse outside Birmingham, Alabama. The former nursing assistant had always enjoyed ordering from the company, Now, she would be working for them. A cog in a fast-moving assembly line, her job involved picking up customers' orders and sending them down the line to the packers. Now she is a staunch supporter of getting a union at the Bessemer facility. She said employees face relentless quotas and deserve more respect.