30 Sep 2021

Why automation, artificial intelligence and machine learning are becoming increasingly critical for SOC operations

ReadDaniel Clayton explain why automation, Artificial Intelligence, and Machine Learning are becoming a critical part of cybersecurity operations for any business on Security Intelligence : Across a variety of industries, the adoption of automation and artificial intelligence (AI) initiatives has meant less of a burden and more opportunity for many

Read More
28 Sep 2021

How Does Artificial Intelligence Compare to Augmented Intelligence?

Read Erin McNemar compare Artificial Intelligence with Augmented Intelligence and their use in the healthcare industry on Health IT Analytics : As providers strive to improve patient outcomes, the use of machine learning has become more integrated into the healthcare system. As this new form of technology continues to expand,

Read More
28 Sep 2021

What is vector search? Better search through AI

Read Martin Heller explain how Vector similarity search uses Machine Learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable on Info World : Suppose you wanted to implement a music service that would behave like Spotify, finding

Read More
27 Sep 2021

Deep Learning’s Diminishing Returns

Read Neil C. Thompson, Kristjan Greenwald, Keeheon Lee, and Gabriel F. Manso’s commentary on why the Deep Learning process is not as good as it seems and will be unsustainable in the future on IEEE Spectrum : Deep learning is now being used to translate between languages, predict how proteins

Read More
27 Sep 2021

Preparing for the ‘golden age’ of artificial intelligence and machine learning

Can businesses trust decisions that artificial intelligence and machine learning are churning out in increasingly larger numbers? Those decisions need more checks and balances — IT leaders and professionals have to ensure that AI is as fair, unbiased, and as accurate as possible. This means more training and greater investments

Read More
27 Sep 2021

Vulnerabilities May Slow Air Force’s Adoption of Artificial Intelligence

The Air Force is reportedly working to better prepare to defend AI programs and algorithms from adversaries that may seek to disrupt or corrupt training data. On Wednesday, Air Force deputy chief of staff for intelligence, surveillance, reconnaissance, and cyber effects operations Mary O’Brien spoke about the obstacle, stating that

Read More
23 Sep 2021

AI-Based Ambient Intelligence Innovation in Healthcare and the Future of Public Safety

Disaster conditions will clearly be more impactful and more frequent due to the impact of climate change. The domestic terrorism threat stateside is becoming a constant, with the impact and frequency of growing domestic U.S. political instability and public safety incidents to be determined.

We will need systems that are monitoring these temporal, ephemeral ecosystems and providing insights and recommendations for real-time decision-making support and situational awareness analysis. What can AI-Based Ambient Intelligence Innovation in Healthcare teach us?

Read More
23 Sep 2021

Artificial Intelligence: The Future Of Cybersecurity?

Read Steve Durbin argue how Artificial Intelligence can help businesses bolster their industrial cyber security on Forbes : A technology-led revolution, dubbed Industry 4.0, is gathering pace in the industrial world where traditional processes and legacy technologies are being replaced by smart devices, automated machines, and advanced forms of computing.

Read More
22 Sep 2021

Amazon Driver-Surveillance Cameras Roll Out, Sparking Debate

Drivers working for Amazon Delivery Service Partners are under constant surveillance for safe driving. They are currently monitored by artificial intelligence systems that award them with scores for safe driving. The score is used to give out bonuses, promotions, and more incentives. Some drivers have complained that the technology is

Read More
21 Sep 2021

Machine learning at the edge: A hardware and software ecosystem

Read George Anadiotis explain why hardware and software need to work in tandem to deploy machine learning for Edge computing on ZDNet : Edge computing is booming. The idea of taking compute out of the data center, and bringing it as close as possible to where data is generated, is

Read More