Last week Ring announced a feature that will you to capture video 24/7 so you don't miss anything if a motion alert wasn't triggered. The challenge is that if you'll then need to wade through hours of footage to find an event. Now, the Amazon-owned company has introduced Smart Video Search, an AI feature for subscribers of the upcoming 20 Ring Home serivce that makes it faster and easier to find specific moments in your video history. The system is powered by Ring IQ, a combination of Ring AI technology and in-house expertise. It uses Visual Language Modeling (VLM) to match text to images and show results.

The emergence of effective natural language processing tools such as ChatGPT means it's time to begin understanding how to harden against AI-enabled cyberattacks. The natural language generation capabilities of large language models (LLMs) are a natural fit for one of cybercrime's most important attack vectors: phishing. Phishing relies on fooling people and the ability to generate effective language and other content at scale is a major tool in the hacker's kit. Fortunately, there are several good ways to mitigate this growing threat. A leader tasked with cybersecurity can get ahead of the game by understanding where we are in the story of machine learning (ML) as a hacking tool.

The commercialisation of artificial intelligence (AI) is taking a similar route, which is unsurprising. But, given AI's innate ability to adapt and learn at an exponential rate, it may not be a bad thing. What needs to be done to ensure the use of AI in hiring is unbiased and equitable? To avoid legal wrangling, the data being used to train AI must be sufficiently representative of all groups. This is especially crucial in hiring because many professional work settings – particularly in industries like computing, finance and media – are dominated by white and/or male employees.

The machine learning (ML) system can automatically scan court cases for references, recommend laws and regulations to the judge, draft legal …

Over the course of the last year, I have written several articles on the topic of adopting an ITOps 4.0 framework in an effort to build out zero-latency IT operations. In my last article, I addressed concerns about disruption and the risk those disruptions pose to your current steady state or BAU. In this article, I'd like to address another concern I've been hearing from CXOs. Many of them have expressed they are not ready for this change and have asked how they can prepare for such a transformation. I would also like to discuss how to move into end-to-end, AI-enabled IT services with an operations-driven focus.

In 2023, a new law regulating AI-enabled recruiting will go live in New York City, with more legislatures to inevitably follow. This is nearly a decade after Amazon deployed its infamous AI-recruiting tool that caused harmful bias against female candidates. Emerging technologies are often left unchecked as industries take shape around them. Due to rapid innovation and sluggish regulation, first-to-market companies tend to ask for the public's forgiveness versus seeking institutional permission. Nearly 20 years after its founding, Facebook (now Meta) is still largely self-regulated.

Of the many technologies with the potential to deliver significant value in the near future, Artificial Intelligence (AI) seems firmly planted atop the list for CIOs. Indeed, nearly all (95 percent) of the CIOs, CTOs, and technology leaders surveyed by IEEE agreed that AI will drive the majority of innovation across almost every industry sector in the next one to five years. "The focus will shift more toward AI-enabled transformation that solves more significant business problems with business-focused solutions," says Jerry Kurtz, executive VP, Insights & Data, at Capgemini Americas. "AI is an enabler and powerful capability, but the time for proofs of concept and science projects is quickly coming to an end. In 2022, expect AI engagements to become larger, more strategically significant, and more mission-critical – with a focus on long-term scalability."

Artificial Intelligence is modifying the developer's work by improving their quality, productivity & speed. From project planning to user experience everything is getting benefits from AI algorithms. AI will be going to improve software development in the future because it already serving human developers at each step of development. There is an estimation that in near future Artificial Intelligence market will see a growth rate of 18%. This means the demand for skilled software developers who are more strategic and creative will going to rise because later they'll be considered as an asset to the company.

"The Russian military seeks to be a leader in weaponizing AI technology," Lt. Gen. Michael Groen, director of the Pentagon's Joint Artificial Intelligence Center, told National Defense. The JAIC -- which has been working to facilitate AI adoption across the Defense Department since 2018 -- recently commissioned a report by CNA, a research organization based in Arlington, Virginia, to examine Russia's developments. The report -- titled "Artificial Intelligence and Autonomy in Russia" -- identified more than 150 AI-enabled military systems in various stages of development, Groen said in an email in June. Key areas of interest include autonomous air, underwater, surface and ground platforms. The nation wants to use AI for electronic warfare, intelligence, surveillance, reconnaissance and strategic decision-making processes as leaders pursue information dominance on the battlefield, Groen said.

Artificial Intelligence plays a major role in most sectors worldwide. Its early incorporation has benefited various businesses and organization to smoothly run different processes and systems. AI in education sector is transforming the conventional ways of performing different activities. AI-enabled grading software is making the process of assessing and grading assignments easier for educational organizations. Here, we will discuss in brief the benefits of AI grader.