AI-enhanced cybersecurity is a must in 2021 and beyond. Clearly, the industry agrees -- you'll find an endless list of AI security platforms in the marketplace. What do vendors really mean when they use the term "artificial intelligence?" AI can be a fluid term, and sometimes mean different things to different people, and although marketing teams at cyber companies are using this ambiguity to their advantage, too often when it comes to the actual implementation and use of these platforms, the technology and promise falls short of AI in it's true scientific sense. Some artificial intelligence is and will be groundbreaking for the cybersecurity industry.

In other words, it can be said that Artificial Intelligence is an extraordinary content source for the public sector and, above all, it is a great value . Many developed and developing countries are already implementing AI in different activities within the Public Administration. An example of this is what the Government of Finland is doing, which is conducting tests with what is considered, so far, the most ambitious public assistant based on Artificial Intelligence in the world: AuroraAI . The objective of this program is to offer citizens personalized services, and filter them according to the specific needs of each person at different times in their lives. Likewise, work is being done to integrate public and business services into a single platform.

Sierra Leone's minister of education and chief innovation officer David Moinina Sengeh is a man of many talents. He's using mobile phone technology to improve daily life, he invented a way to make a prosthetic limb with a computer-assisted technique and he's a singer and rapper and a clothing designer, too. Sierra Leone's minister of education and chief innovation officer David Moinina Sengeh is a man of many talents. He's using mobile phone technology to improve daily life, he invented a way to make a prosthetic limb with a computer-assisted technique and he's a singer and rapper and a clothing designer, too. David Moinina Sengeh is not your typical education minister.

"There is AI for an individual truck, which could involve anything from vision systems and autonomous driving, to predictive maintenance. And then there is AI related to fleet operations, which could involve everything from route optimization to an electric vehicle suitability assessment," stated Mike Branch, vice-president, data and analytics at Geotab, headquartered in Oakville, Ont. Geotab provides telematics services for commercial fleet management via a software-as-a-service model. In 2015, the company had one data scientist; today it has 80 of them.

News: Digital Workforce welcomes Leon Stafford as a new key member of its global team and a Sales Director to the UK & Ireland. Digital Workforce recently welcomed Leon Stafford as a new key member of its global team and a Sales Director to the UK & Ireland. Having worked in the industry for many years, he will further strengthen our team's expertise in connected platforms, scale-up strategy, and conceptualizing impactful solutions that seamlessly align with our client's business objectives. On top of this, Leon brings with him industry-specific knowledge, particularly from the Public Sector, Financial Services, Contact Centers, Utilities, Retail, and Healthcare. "I'm hoping that one of the first things we'll do with Digital Workforce in the UK is helping out in the health service . If you take away some of the strain from people working in our healthcare with automation, they can thrive and do their best in what they're supposed to do," Leon describes.

The U.S. government and the Electronic Privacy Information Center, a nonprofit research center, settled their dispute concerning access to information about the National Security Commission on Artificial Intelligence--created to report on advances in A.I. to the president and Congress. The parties filed a stipulation of dismissal of their Freedom of Information Act case with the U.S. District Court for the District of Columbia on Tuesday. The court dismissed the matter Wednesday, according to the docket. "EPIC's case against the commission was a great success. Through two court victories, we forced the commission to open key meetings to the public and ...

"We've been using it for sheep, pigs and cows," said Zhao Jinshi, who studied at Cornell University and founded Beijing Unitrace Tech, a company developing software for the agriculture industry. "For pigs, it's more difficult because pigs all look the same, but dairy cows are a bit special because they are black and white and have different shapes," Zhao said as he checked on the technology installed in a pilot project here at a farm in Hebei province, outside Beijing. China has led the world in developing facial recognition capabilities. There are almost 630 million facial recognition cameras in use in the country, for security purposes as well as for everyday conveniences like entering train stations and paying for goods in stores. But authorities also use the technology for sinister means, such as monitoring political dissidents and ethnic minorities.

There is a lot of hype around data, algorithms and artificial intelligence (AI) in many regions of the world. Sometimes it is about futuristic technologies like self driving cars, but there are already everyday applications that impact our communities in negative ways. As feminist, anticapitalist, anti-racist activists, we need to understand the implications and politics of these technologies, because in many cases they exacerbate wealth and power inequalities and they reproduce racial and gender discrimination. Data, algorithms and artificial intelligence are playing more and more of a role in our lives, even if most of the time we might not even be aware of their existence. Their impacts sometimes may be equally invisible.

DARPA has announced the start of the Fast Event-based Neuromorphic Camera and Electronics (FENCE) program, which is designed to make computer vision cameras more efficient by mimicking how the human brain processes information. Three teams of scientists led by Raytheon, BAE Systems, and Northrop Grumman, are tasked with developing an infrared (IR) camera system that needs to process less data, operates faster, and uses less power. Modern imaging cameras are growing increasingly sophisticated, but they are also becoming victims of their own success. While state-of-the-art cameras can capture high-resolution images and track objects with great precision, they do so by processing large amounts of data, which takes time and power. According to DARPA, this is fine when the task is something like tracking an airplane in a clear blue sky, but if the background becomes cluttered or starts to change, as is often the case in military operations, these cameras can soon be overwhelmed.

When gravitational waves were first detected in 2015 by the advanced Laser Interferometer Gravitational-Wave Observatory (LIGO), they sent a ripple through the scientific community, as they confirmed another of Einstein's theories and marked the birth of gravitational wave astronomy. As LIGO and its international partners continue to upgrade their detectors' sensitivity to gravitational waves, they will be able to probe a larger volume of the universe--making the detection of gravitational wave sources a daily occurrence rather than weekly or monthly. Scientists hope this will launch a new era of precision astronomy, because combining information from multiple kinds of signals from space is a much more powerful way to study the universe. But realizing this goal will require a radical re-thinking of existing methods used to search for and find gravitational waves. Recently, Argonne National Laboratory computational scientist Eliu Huerta, along with collaborators from the University of Chicago, the University of Illinois at Urbana-Champaign, NVIDIA and IBM, developed a new artificial intelligence framework that allows for accelerated, scalable and reproducible detection of gravitational waves.