Mexico's increasingly militarized crackdown of powerful drug cartels has left nearly 39,000 unidentified bodies languishing in the country's morgues – a grotesque symbol of the ever-burgeoning war on drugs and rampant violence. Investigative NGO Quinto Elemento Labs, in a recent report, found that an alarming number of people have been simply buried in common graves without proper postmortems, while others were left in funeral homes. The so-called war of drugs has claimed the lives of nearly 300,000 people over the last 14 years, while another 73,000 have gone missing. All the while, these cartels have yet to be designated formal terrorist organizations despite boasting well-documented arsenals of sophisticated weaponry to rival most fear-inducing militias on battlefields abroad. Just last month, reports surfaced that Mexico's Jalisco New Generation Cartel (CJNG) now possess bomb-toting drones – which The Drive's Warzone depicts as "small quadcopter-type drones carrying small explosive devices to attack its enemies."
Financial crime as a wider category of cybercrime continues to be one of the most potent of online threats, covering nefarious actives as diverse as fraud, money laundering and funding terrorism. Today, one of the startups that has been building data intelligence solutions to help combat that is announcing a fundraise to continue fueling its growth. Ripjar, a UK company founded by five data scientists who previously worked together in British intelligence at the Government Communications Headquarters (GCHQ, the UK's equivalent of the NSA), has raised $36.8 million (£28 million) in a Series B, money that it plans to use to continue expanding the scope of its AI platform -- which it calls Labyrinth -- and scaling the business. Labyrinth, as Ripjar describes it, works with both structured and unstructured data, using natural language processing and an API-based platform that lets organizations incorporate any data source they would like to analyse and monitor for activity. It automatically and in real time checks these against other data sources like sanctions lists, politically exposed persons (PEPs) lists and transaction alerts.
We all are moving towards an era of Artificial Intelligence. Earlier when face recognition was something to be amazed at it is now easily implemented using existing libraries and frameworks. Machine learning is now embedded into our lives and it is thickening its grasp with time. Earlier it was a buzzword but now it is a reality that is making our lives easier and better. So let's talk about some of the problems with Machine Learning.
Artificial Intelligence is a hot topic. Applications based on machine learning make the news on a near-daily basis. Smart police cameras steered by algorithms can register drivers holding cell phones with great precision. Algorithms can dynamically determine the real-time prices for taxi rides, hotel rooms, airplane seats, and so on. High-frequency traders are getting rich as they sleep by letting their secret algorithms do the work.
Climate change is the planet's biggest challenge and Artificial Intelligence (AI) could provide the right tools in the global fight. There is still a lot we don't know about planet Earth, and advanced machine learning and AI could offer a'silver bullet' to help us unravel the mysteries of our atmosphere, oceans and cryosphere. AI will become key for scientists in predicting extreme weather, alerting them to severe rainfalls, hurricanes and other events as the world warms. AI is also being developed to track where air pollution is also coming from. In this live chat, you'll meet AI experts who're using the power of artificial intelligence and machine learning to reveal the secrets of our climate and weather systems.
Editor's Note: The use of face recognition technology in policing has been a long-standing subject of concern, even more-so now after the murder of George Floyd and the demonstrations that have followed. In this article, Mike Loukides, VP of Content Strategy at O'Reilly Media, reviews how companies and cities have addressed these concerns, as well as ways in which individuals can mitigate face recognition technology or even use it to increase accountability. We'd love to hear from you about what you think about this piece. Largely on the impetus of the Black Lives Matter movement, the public's response to the murder of George Floyd, and the subsequent demonstrations, we've seen increased concern about the use of facial identification in policing. First, in a highly publicized wave of announcements, IBM, Microsoft, and Amazon have announced that they will not sell face recognition technology to police forces.
The RCMP awarded a new social media monitoring contract Sept. 2 to a U.S. company that uses artificial intelligence to track what's said on the web. Virginia-based Babel Street says its software can instantly translate between 200 languages and filter social media content by geographic areas and by sentiments expressed. We can't let journalism fade away. Contribute to The Tyee so we can add to our team. Two lucky Tyee readers will win an all-access ticket to this annual literary event.
In today's world, AI systems are used to decide who gets hired, the quality of medical treatment we receive, and whether we become a suspect in a police investigation. While these tools show great promise, they can also harm vulnerable and marginalized people, and threaten civil rights. Unchecked, unregulated and, at times, unwanted, AI systems can amplify racism, sexism, ableism, and other forms of discrimination. The Algorithmic Justice League's mission is to raise awareness about the impacts of AI, equip advocates with empirical research, build the voice and choice of the most impacted communities, and galvanize researchers, policy makers, and industry practitioners to mitigate AI harms and biases. We're building a movement to shift the AI ecosystem towards equitable and accountable AI.
President Trump repeatedly refused to say on Wednesday whether he would commit to a peaceful transition of power if he loses the election to Joe Biden, saying at a press briefing: "We're going to have to see what happens." The big picture: Trump has baselessly claimed on a number of occasions that the only way he will lose the election is if it's "rigged," claiming -- without evidence -- that mail-in ballots will result in widespread fraud. Earlier on Wednesday, the president said he wants to quickly confirm a replacement for Justice Ruth Bader Ginsburg because he believes the Supreme Court may have to decide the result of the election.