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Fulltime SAP openings in Los Angeles on August 14, 2022


Role requiring'No experience data provided' months of experience in Los Angeles Accentures SAP practice in the West, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech for SAP when it comes to automation and AI. We help out clients apply intelligence to set their business apart and make them more proactive, predictive and productive the power of the intelligent enterprise. We have also announced our partnership with SAP to develop SAPs new Responsible Production and Design solution, which will help companies consume fewer resources and build sustainability into their design processes. We believe sustainability is going to be the next digital, says Julie Sweet. Im hopeful that by 2025, well be able to say every business is a sustainable business.

Is Data Scientist Still the Sexiest Job of the 21st Century?


Ten years ago, the authors posited that being a data scientist was the “sexiest job of the 21st century.” A decade later, does the claim stand up? The job has grown in popularity and is generally well-paid, and the field is projected to experience more growth than almost any other by 2029. But the job has changed, in both large and small ways. It’s become better institutionalized, the scope of the job has been redefined, the technology it relies on has made huge strides, and the importance of non-technical expertise, such as ethics and change management, has grown. How it operates in companies — and how executives need to think about managing data science efforts — has changed, too, as businesses now need to create and oversee diverse data science teams rather than searching for data scientist unicorns. Finally, companies need to think about what comes next, and how they can begin to think about democratizing data science.

Community colleges can become America's AI incubators


Millions of students attend community colleges every year, with almost 1,300 schools located in every corner of the United States. With their large student bodies, community colleges are a massive source of potential for expanding the artificial intelligence (AI) workforce, but employers and policymakers alike sorely underestimate their potential. If the United States aims to maintain its global lead and competitive advantage in AI, it must recognize that community colleges hold a special spot in our education system and are too important to be overlooked any longer. As detailed in a recent study I co-authored as part of Georgetown University's Center for Security and Emerging Technology (CSET), community colleges have the potential to support the country in its mission for superiority in AI. Community colleges could create pathways to good-paying jobs across the United States and become tools for training a new generation of AI-literate workers.

The future of work 3 – automation


In this third part of my series on the future of work, I want to deal with the impact of automation, in particular robots and artificial intelligence (AI) on jobs. I have covered this issue of the relationship between human labour and machines before, including robots and AI. But is there anything new that we can find after the COVID slump? The leading American mainstream expert on the impact of automation on future jobs is Daron Acemoglu, Institute Professor at MIT. In testimony to the US Congress, Acemoglu started by reminding Congress that automation was not a recent phenomenon.

Humans in the loop help robots find their way: Computer scientists' interactive program aids motion planning for environments with obstacles


Engineers at Rice University have developed a method that allows humans to help robots "see" their environments and carry out tasks. The strategy called Bayesian Learning IN the Dark -- BLIND, for short -- is a novel solution to the long-standing problem of motion planning for robots that work in environments where not everything is clearly visible all the time. The peer-reviewed study led by computer scientists Lydia Kavraki and Vaibhav Unhelkar and co-lead authors Carlos Quintero-Peña and Constantinos Chamzas of Rice's George R. Brown School of Engineering was presented at the Institute of Electrical and Electronics Engineers' International Conference on Robotics and Automation in late May. The algorithm developed primarily by Quintero-Peña and Chamzas, both graduate students working with Kavraki, keeps a human in the loop to "augment robot perception and, importantly, prevent the execution of unsafe motion," according to the study. To do so, they combined Bayesian inverse reinforcement learning (by which a system learns from continually updated information and experience) with established motion planning techniques to assist robots that have "high degrees of freedom" -- that is, a lot of moving parts.

Coding for the cosmos - Microsoft Garage


Microsoft, NASA, and students from two HBCUs in the Reston/DC area have completed the maiden mission of a new Microsoft/NASA partnership, STEM Educational Project: AI looking for new Earths. Using methodology developed by The Microsoft Garage over years of running hackathons, in just one month – and while completing their final exams – the student hackers learned and deployed several new technologies, and quite literally reached the stars by showing they could deploy code to the International Space Station. According to Piali Ghose, Director of The Garage Reston/DC and host of the event, "This hackathon amplifies the cultural priorities closest to our hearts here at Microsoft and at The Garage because it allows us to continue fulfilling our stated commitments to making a difference, seeking diversity and being inclusive in our work, bringing multiple teams together as'One Microsoft' while collaborating with federal and academic partners, and doing all of this with a growth mindset." The partnership emerged from a shared goal of fostering the future STEM workforce by exposing university students to science, tools, and expertise "at the intersection of Space Cloud." By structuring the project as a month-long hackathon, participating students learned how real data scientists work as a team to ideate, develop, and validate their work with a proof of concept.

For a Second There, Someone Thought Using Taser Drones to Stop School Shootings Was a Good Idea


Armed police couldn't stop the shooters in Buffalo and in Uvalde. But perhaps a very small drone equipped with a Taser could. Specifically, Axon CEO Rick Smith said in a Thursday announcement, "non-lethal drones capable of incapacitating an active shooter in less than 60 seconds" (or so the press release goes), which would be stationed inside of schools. At the push of a panic button, a trained human pilot at a control center elsewhere in the country would launch a drone. With the help of a network of security cameras, they would try to target the drone's onboard Taser probes into the shooter's flesh, in the hope of keeping them down until police could arrive on the scene.

A firm proposes Taser-armed drones to stop school shootings

NPR Technology

This photo provided by Axon Enterprise depicts a conceptual design through a computer-generated rendering of a taser drone. Axon Enterprise, Inc. via AP hide caption This photo provided by Axon Enterprise depicts a conceptual design through a computer-generated rendering of a taser drone. Taser developer Axon said this week it is working to build drones armed with the electric stunning weapons that could fly in schools and "help prevent the next Uvalde, Sandy Hook, or Columbine." But its own technology advisers quickly panned the idea as a dangerous fantasy. The publicly traded company, which sells Tasers and police body cameras, floated the idea of a new police drone product last year to its artificial intelligence ethics board, a group of well-respected experts in technology, policing and privacy. Some of them expressed reservations about weaponizing drones in over-policed communities of color.

Oregon is dropping an artificial intelligence tool used in child welfare system

NPR Technology

Sen. Ron Wyden, D-Ore., speaks during a Senate Finance Committee hearing on Oct. 19, 2021. Wyden says he has long been concerned about the algorithms used by his state's child welfare system. Sen. Ron Wyden, D-Ore., speaks during a Senate Finance Committee hearing on Oct. 19, 2021. Wyden says he has long been concerned about the algorithms used by his state's child welfare system. Child welfare officials in Oregon will stop using an algorithm to help decide which families are investigated by social workers, opting instead for a new process that officials say will make better, more racially equitable decisions.