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Machine Learning on Arm Cortex-M Microcontrollers
January 20, 2022
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Tintri maximizes performance for your applications and the people who manage them. With all-flash storage and software for virtualized workloads, Tintri automatically manages each application, so you don’t have to.
whitePaper | July 20, 2022
The growing diversity of actors and circumstances involved in AI/ML deployment makes establishing a set of ethical participatory practices especially difficult for this field. Even among practitioners working at the same organization, there can be substantial differences in both their knowledge about how AI/ML systems were created or will be used and their ability to incorporate inclusive practices. Additionally, the greater availability of AI development platforms, including “no-code” platforms, means that algorithmic models can be deployed without having deep expertise, expanding the number of circumstances automated systems are deployed in. This means many more instances where automated systems are being deployed without consideration of how the algorithms were developed, the provenance of the datasets and nature of the bias on which they were trained and tested, and the ethical implications of their development and deployment.
whitePaper | July 20, 2020
Accurate, trustworthy threat intelligence is a boon if you have it – but too much of it becomes a management headache. Analyst group 451 Research, surveying security leaders for its report Tackling the Visibility Gap in Information Security, found that 49% of enterprises using SIEM, EDR, and other security tools were overwhelmed by the day-to-day operation of managing and ingesting threat feeds into their growing technology stack.1
Privileged access is the gateway to an organization’s most valuable assets and is at the core of nearly every major security breach. Organizations must have a strategy in place to manage and monitor privileged access, as well as detect and respond to threats if they’d like to mitigate risk from today’s advanced attacks. Your application stack and infrastructure is likely quite complex and it can be hard to identify which assets are the most sensitive. And there is a never-ending supply of vendors knocking down your door competing for your time and attention. These two realities make it increasingly difficult to identify which security project to tackle next. When thinking about how to prioritize, it is advantageous to take a step back and think about your businesses goals, albeit in a slightly different way: try to envision what you would be looking for if you were an external attacker or malicious insider looking to steal sensitive data, commit Ransomware, or use your infrastructure for illicit cryptomining.
whitePaper | November 29, 2022
Artificial intelligence has long since graduated from science fiction and speculative use cases to widespread and diverse development across fintech sectors. CB Insights reported that financings for AI startups showed continued robust activity through Q2 2022, despite changes in market sentiment from the exuberance of 2021.
whitePaper | March 30, 2022
The Stanford Institute for Human-Centered Artificial Intelligence (HAI) offers the following submission for consideration in response to the Request for Information(RFI) by the White House Office of Science and Technology to the Update of the National Artificial Intelligence Research and Development Strategic Plan.
whitePaper | July 16, 2020
Is cloud computing becoming the norm? As part of the digital offensives by many companies, cloud infrastructures are fast becoming a crucial technology driver and success factor for innovative business models and digital products. The growing interest in the Internet of Things and machine learning sent the adoption rate of the cloud soaring at numerous companies. Now, it is a question of “how” rather than “whether” cloud services can be used successfully at German companies.
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