In this talk, we will take an in-depth look at various mechanisms of attack detection, from signatures and regular expressions to machine learning. Attack detection is critical for most security solutions, whether we are talking about a load balancer-based (NIDS, WAF), host-based or in-application solutions (HIDS, RASP). Interestingly, regardless of the differences in architecture and data flow, most solutions use similar detection principles and techniques. We will explore how the detection architecture evolved over time and how the new generation of detection logic, such as the architecture implemented by some of the advanced application security tools, are principally different from that of the legacy solutions.
Cohort of 14 U.S. and international startups to relocate to Bentonville for 12 weeks PRESS RELEASE – The first-ever Arkansas-based artificial intelligence and machine learning accelerator will launch later this month, with the goal of helping a cohort of startups within these fields connect to regional enterprise partners. The Fuel Accelerator, in its second iteration, will provide regular, hands-on education and workshops to a cohort of 14 companies from across the United States, Europe and Asia. These 14 companies will make their way to Northwest Arkansas, at the foot of the Ozark Mountains, for a 12-week, enterprise-ready accelerator that will provide them with access to other startup founders, industry experts, institutions of higher education, and public policy officials. Fuel launched in late 2018 with eight startups participating in a supply chain-focused, 16-week program. The program helped its first cohort nurture relationships with key Fortune 500 companies through feedback sessions, training, pilots and demos.
A group of high school students was one of the top teams to emerge from the recent AI Tech Sprint by the Department of Veterans Affairs, delivering a web application that could help match cancer patients to clinical trials. The three students from Northern Virginia entered their work in a competition that included software companies like Oracle Healthcare and MyCancerDB. Digital consulting company Composite App took the $20,000 first place prize for its solution -- a tool for helping patients stay on track with their care plan -- but the clinical trials team got an honorable mention. The tech sprint was organized by the VA's new AI institute, and it focused on partnering with outside organizations and companies interested in applying artificial intelligence tools and techniques to VA data. The high school team's members -- Shreeja Kikkisetti, Ethan Ocasio and Neeyanth Kopparapu -- met as part of the Northern Virginia-based nonprofit Girls Computing League.
"We are already at the point where you can't tell the difference between deepfakes and the real thing," Professor Hao Li of the University of Southern California tells the BBC. We are at the computer scientist's deepfake installation at the World Economic Forum in Davos which gives a hint of what he means. Like other deepfake tools, his software creates computer-manipulated videos of people - often politicians or celebrities - that are designed to look real. Most often this involves "face swapping", whereby the face of a celebrity is overlaid onto the likeness of someone else. As I sit, a camera films my face and projects it onto a screen in front of me; my features are then digitally mapped.
This blog post is adapted from our June 10 response to the National Institute of Standards and Technology's (NIST) request for information (RFI) 2019-08818: Developing a Federal AI Standards Engagement Plan. This RFI was released in response to an Executive Order directing NIST to create a plan for the development of a set of standards for the acceptable use of AI technologies. Given the wide adoption of AI technologies and the lag in commensurate laws and regulations, this post aims to help NIST by highlighting the current state, plans, challenges, and opportunities in ethics and AI. In 2016 the European Union (EU) created the General Data Protection Regulation (GDPR) that would expand protections around EU citizens' personal data beginning in 2018. Meanwhile, China has extensively integrated AI technologies into their government and social structure via the China Social Credit System.
Temenos AG, a Geneva-based banking software company, announced the launch of its banking-as-a-service platform in the U.S., which it says can help launch a digital banking platform go live in 90 days. The Tenemos SaaS platform is designed to offer a range services like digital onboarding, know-your-customer verification, personal financial management and support for artificial intelligence, chatbots, wearables and other technology, according to a press release. "With our new U.S. front-to-back SaaS product for digital banks, we will revolutionize the software banking landscape in the U.S., which is a highly strategic market for us," Max Chuard, CEO of Temenos, said in the release. Temenos has worked with some of the fastest growing challenger banks in the U.S, including Grasshopper and Varo Money, Volt Bank and Judo Bank in Australia and Leumi's Pepper in Israel, according to the release. Temenos also works with incumbent financial institutions, including Commerce Bank and Partners Federal Credit Union, in Burbank, California.
Algae, that green scum often seen on the surface of ponds, and credited with harmful ocean algal blooms that kill ocean life might just hold an important key to addressing climate change. Algae, much like trees, uses carbon dioxide to conduct photosynthesis, sequestering CO2 as it grows. Hypergiant, an AI products and solutions company, is harnessing this unique power of algae in its latest technology, the EOS bio-reactor which uses AI to optimize algae growth and carbon sequestration. Its bio-reactor is built to hook up to HVAC systems found in large industrial buildings, skyscrapers and apartment buildings which are some of the biggest contributors to global warming from the CO2 emitted through their energy usage and air conditioning systems. The science is clear that we must not only cut our carbon emissions as a means to stop the irreversible harm of climate change and limit global warming but that we also need to take carbon out of the atmosphere to stay within the stated target 1.5 C of the Paris Climate Agreement.
"The JAIC is working to bring critical AI detection technology to the first responders who bravely battle wildfires. Increased use of AI will reduce response timelines, increase situational awareness, and save more American lives." On July 16, our new Secretary of Defense, Mark Esper, was asked by Congress what the No. 1 priority for DOD technology modernization ought to be. I think artificial intelligence will likely change the character of warfare, and I believe whoever masters it first will dominate on the battlefield for many, many, many years. We have to get there first."
A technology company uses artificial intelligence to assist in cancer drug development has launched a study that will collect data on up to 1,000 blood cancer patients over the course of a year. San Francisco-based Notable said Wednesday it had launched the study, titled ANSWer, which will collect de-identified specimens with matched clinical data from participants in U.S. and Canadian clinical networks, at the time of their entry into the study and during subsequent visits. Patients with acute myeloid leukemia, acute lymphoblastic leukemia, chronic myelogenous leukemia, multiple myeloma, lymphomas, myeloproliferative disorders and others will be included. The goal is to establish a tumor registry with annotated clinical outcomes. "The observational clinical trial that we're kicking off will give us the opportunity to test more patients than ever before, allowing us to continue increasing the platform's predictive value," Notable CEO Matt De Silva said in a statement.
Machine learning algorithms aren't just technological novelties relegated to tasks like picking out faces in crowded places. In the enterprise, they can surface patterns and relationships that would otherwise have been missed. To do just that, Outlier.ai's business analysis platform extracts data from internal and external sources and analyzes it to spot critical changes in behavior. Investors see potential -- a year after experiencing 400% growth, Oakland, California-based Outlier today announced that it has raised $22.1 million in a series B funding round led by Emergence, with participation from existing investors Ridge Ventures, 11.2 Capital, First Round Capital, Homebrew, Susa Ventures, and SV Angel, bringing its total raised to over $30 million. Cofounder and CEO Sean Byrnes says the funding will be used to accelerate growth and make strategic hires across Outlier's Oakland headquarters, as well as offices in Virginia Beach, Virginia and Europe.