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Top Explainable AI Frameworks For Transparency in Artificial Intelligence

#artificialintelligence

Our daily lives are being impacted by artificial intelligence (AI) in several ways. Artificial assistants, predictive models, and facial recognition systems are practically ubiquitous. Numerous sectors use AI, including education, healthcare, automobiles, manufacturing, and law enforcement. The judgments and forecasts provided by AI-enabled systems are becoming increasingly more significant and, in many instances, vital to survival. This is particularly true for AI systems used in healthcare, autonomous vehicles, and even military drones.


The core of Self-driving Car Technology

#artificialintelligence

A self-driving car seems like some amazing stuff in a science fiction movie. Thankfully, today's technology revolution makes it possible to own or experience such vehicles. Recently, Baidu launched a new model Apollo RT6, a robotaxi/self-driving cab in China. Nearly one million rides have already been taken in China via robotaxis in almost ten cities. However, this new model is supposed to be the next big thing in the car market.


GM Robotaxi Unit Under California Scrutiny Over Launch Readiness

WSJ.com: WSJD - Technology

A California regulator responsible for issuing driverless-car permits said it is looking into concerns raised in an anonymous letter that General Motors Cruise LLC unit was preparing to launch its robotaxi service prematurely. The California Public Utilities Commission said it had received an anonymous letter in mid-May from a person who said he had been working at the self-driving car company for a number of years.


#selfdrivingcars_2022-06-01_05-29-21.xlsx

#artificialintelligence

The graph represents a network of 1,612 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 June 2022 at 12:38 UTC. The requested start date was Wednesday, 01 June 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 19-day, 11-hour, 44-minute period from Thursday, 12 May 2022 at 09:04 UTC to Tuesday, 31 May 2022 at 20:48 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


Scania wins approval to expand route tests of autonomous trucks

#artificialintelligence

The Swedish Transport Agency Transportstyrelsen has given Scania approval to expand the route and range of its autonomous vehicle testing on the nation's roads. In February 2021, Scania was given permission to begin operating three autonomous trucks on a stretch of the E4 highway between the company's main production site in Södertälje and Nyköping, which lies 70 kilometres to the south. The success of that trial has now led to an expansion of the distance and parameters of the tests. The autonomous trucks will be able to drive on all types of roads – local and national – between Södertälje and the southern city of Jönköping, which is nearly 300 kilometres and three-and-a-half hours away. It's a development which has delighted Scania, which has been exploring this technology for the best part of the last decade, including in mining and delivery applications.


3 Challenges to the Universal Adoption of AI

#artificialintelligence

The use of connected smart devices is growing rapidly, but they are not yet everywhere. There are 3 challenges to the universal adoption of AI. As you may have already realized, AI has influenced your life. And its impact is only going to grow from here. Achieving a future of ubiquitous AI could be life-changing.


The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law

arXiv.org Artificial Intelligence

Artificial intelligence (AI) features are increasingly being embedded in cars and are central to the operation of self-driving cars (SDC). There is little or no effort expended towards understanding and assessing the broad legal and regulatory impact of the decisions made by AI in cars. A comprehensive literature review was conducted to determine the perceived barriers, benefits and facilitating factors of SDC in order to help us understand the suitability and limitations of existing and proposed law and regulation. (1) existing and proposed laws are largely based on claimed benefits of SDV that are still mostly speculative and untested; (2) while publicly presented as issues of assigning blame and identifying who pays where the SDC is involved in an accident, the barriers broadly intersect with almost every area of society, laws and regulations; and (3) new law and regulation are most frequently identified as the primary factor for enabling SDC. Research on assessing the impact of AI in SDC needs to be broadened beyond negligence and liability to encompass barriers, benefits and facilitating factors identified in this paper. Results of this paper are significant in that they point to the need for deeper comprehension of the broad impact of all existing law and regulations on the introduction of SDC technology, with a focus on identifying only those areas truly requiring ongoing legislative attention.


A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method

arXiv.org Artificial Intelligence

In this thesis a probabilistic framework is developed and proposed for Dynamic Object Recognition in 3D Environments. A software package is developed using C++ and Python in ROS that performs the detection and tracking task. Furthermore, a novel Gaussian Process Regression (GPR) based method is developed to detect ground points in different urban scenarios of regular, sloped and rough. The ground surface behavior is assumed to only demonstrate local input-dependent smoothness. kernel's length-scales are obtained. Bayesian inference is implemented sing \textit{Maximum a Posteriori} criterion. The log-marginal likelihood function is assumed to be a multi-task objective function, to represent a whole-frame unbiased view of the ground at each frame because adjacent segments may not have similar ground structure in an uneven scene while having shared hyper-parameter values. Simulation results shows the effectiveness of the proposed method in uneven and rough scenes which outperforms similar Gaussian process based ground segmentation methods.


ARK Invest's Big Ideas 2022: The 14 transformative technologies to watch this year

ZDNet

ARK Invest solely invests in disruptive innovations. ARK's thematic investment strategies span market capitalizations, sectors, and geographies to focus on public companies that we expect to be the leaders, enablers, and beneficiaries of disruptive innovation. ARK's strategies aim to deliver long-term growth with low correlation to traditional investment strategies. ARK Invest defines "disruptive innovation" as the introduction of a technologically enabled new product or service that potentially changes the way the world works. ARK focuses solely on offering investment solutions to capture disruptive innovation in the public equity markets.


Becoming Universal

Communications of the ACM

How to fit the history of computing into a book that can be picked up without needing a forklift truck? That was my challenge in writing A New History of Modern Computing5 (hereafter the "new history") with Paul Ceruzzi. Now we had to tell the story of billions of them, drawing on the work of an ever-expanding research community to help us find a story hiding among all the model numbers. I should be clear up front that this is an academic history of computing. Trade books are the ones that get stocked in bookstores, reviewed in newspapers, and so on. Their editors will select and rewrite manuscripts with a mass audience in mind. Trade publishers appear to have decided, perhaps correctly, the only way to sell books on the history of computing is to stuff them with people and stories that readers already know about while nevertheless insisting they are tragically forgotten. Their books feature a lot of Charles Babbage, Alan Turing, and other "geniuses." They obsess over the question of the "first computer" and spend a lot of time in the 1940s laboriously weighing evidence for the primacy of one invention or another before awarding the crown.