Activists warn UN about dangers of using AI to make life-and-death decision on the battlefield

Daily Mail - Science & tech

A Nobel Peace prize winner has warned against robots making life-and-death decision on the battlefield, as it is'unethical and immoral' and can never be undone. Jody Williams made the statement at the United Nations in New York City after the US military announced its project the uses AI to make decisions on what human soldiers should target and destroy. Williams also pointed out the difficulty of holding those involved accountable for certain war crimes, as there will be a programmer, manufacturer, commander and the machine itself involved in the act. Jody Williams (right) has warned against robots making life-and-death decision on the battlefield, as it is'unethical and immoral' and'can never be undone'. She was accompanied with fellow activists Liz O'Sullivan (left) and Mary Wareham (center) Williams won the prestigious accolade in 1997 after leading efforts to ban landmines and is now an advocate with the'Campaign To Stop Killer Robots'.

Omniviolence Is Coming and the World Isn't Ready - Facts So Romantic


In The Future of Violence, Benjamin Wittes and Gabriella Blum discuss a disturbing hypothetical scenario. A lone actor in Nigeria, "home to a great deal of spamming and online fraud activity," tricks women and teenage girls into downloading malware that enables him to monitor and record their activity, for the purposes of blackmail. The real story involved a California man who the FBI eventually caught and sent to prison for six years, but if he had been elsewhere in the world he might have gotten away with it. Many countries, as Wittes and Blum note, "have neither the will nor the means to monitor cybercrime, prosecute offenders, or extradite suspects to the United States." Technology is, in other words, enabling criminals to target anyone anywhere and, due to democratization, increasingly at scale.

Realtime Robotics raises $18 million Series A funding


Realtime Robotics, a provider of responsive motion planning for industrial robots and autonomous vehicles, says it has raised $11.7 million in Series A funding. The round was led by Sparx Asset Management, and included participation from Mitsubishi Electric, Hyundai, and Omron Ventures, alongside existing investors Toyota AI Ventures, Scrum Ventures, and the Duke Angel Network. The new capital will be used to accelerate the development of more commercial product releases and expand the team to support key customers and partners across the globe. The interest in the round reflects Realtime Robotics' first-mover advantage in the market for solutions that eliminate the obstacles to widespread adoption of advanced automation in industrial, agriculture, food service, construction, healthcare, and consumer settings. Despite the growing demand for automation, today's robots are not safe or smart enough to navigate in dynamic, unstructured environments, without costly safeguards and oversight.

r/MachineLearning - [Project] pgANN Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.


Hi, we did experiment with ES, using range queries on the vectors and boolean querying them and also tried using LSH/MinHash to save a signature for each vector. Did you have a different approach in mind? Also, you're correct about L-1 & L2 distances being poor metrics in this dimensionality, but our goal was to fetch a subset of (say) a few thousand "good enough" results - from a pool of a tens of millions - that can then be re-ranked with cosine or such metric. Unfortunately, there are no easy wins in ANN and this works well enough for us. We hope others can benefit as well.

How to explain AI in plain English


Cognitive scientist and Dartmouth professor John McCarthy coined the term artificial intelligence (AI) in 1955 when he began his exploration of whether machines could learn and develop formal reasoning like humans. More than 60 years later, AI is the hottest tech topic of the day, from the boardroom to the breakroom. The vast majority of technology executives (91 percent) and 84 percent of the general public believe that AI constitutes the next technology revolution, according to Edelman's 2019 Artificial Intelligence (AI) Survey. PwC has predicted that AI could contribute $15.7 trillion to the global economy by 2030. AI powers voice-based devices, filters our email, and guides our search results.

Countering the Rise of Adversarial Machine Learning.


The security community has found an important application for machine learning (ML) in its ongoing fight against cybercriminals. Per Recorded Future, many of us are turning to ML-powered security solutions like Lastline that analyze network traffic for anomalous and suspicious activity. In turn, these ML solutions defend us from digital threats better than other solutions can by drawing on their evolving knowledge of what a network attack looks like. Digital attackers are aware of the fact that security solutions are using ML for security purposes. They also know that there are certain limitations when it comes to applying artificial intelligence to computer security.

Hyundai Motor develops AI-based autonomous driving technology - Xinhua


Hyundai Motor Group, South Korea's automotive giant, said Monday that it has developed an artificial intelligence (AI)-based, driver-customized autonomous driving technology. Hyundai said in a statement that it developed the Smart Cruise Control-Machine Learning (SCC-ML) technology for the first time in the world that allows a partial driverless driving customized to a driver's driving pattern. The SCC-ML adds AI technology to the SCC function that is one of the Advanced Driver Assistance System (ADAS) technologies to allow a vehicle to drive at a set speed with a certain distance from other vehicles. Under the SCC-ML, a vehicle's machine learning function collects pieces of information through cameras and sensors about a driver's driving pattern, such as the distance from other vehicles, how fast the driver gains speed, and how quickly the driver responds to changed road conditions. Hyundai said the SCC-ML can realize the Level 2.5 autonomous driving technology beyond the Level 2 technology that includes a function of lane change.

7 Chatbots in the Financial Industry – Paypal, Kasisto, and More Emerj


Kasisto has an AI platform called KAI that they claim can help financial institutions create chatbots for their customers to ask questions and use to make payments and review account details. The company also claims KAI chatbots can help users manage their funds from multiple accounts. The software can send a chatbot's conversation to a human customer service employee in cases where it cannot solve a customer's problem. The company also claims to have a deep learning tool for business banking chatbots that helps train new machine learning models, however, they do not offer a detailed explanation of how multiple neural networks would work to make a chatbot more effective These chatbots can purportedly converse with customers about financial tasks such as applying for credit cards, product discovery and managing funds. They can also fulfill some requests directly within the chatbot interface.

Hitachi Vantara CTO on quantum, data ethics, and public trust


When quantum computing moves from the theoretical world into the applied space it threatens to break apart the accepted modus operandi of much of the technology industry, something Hubert Yoshida, the CTO of Hitachi Vantara is keenly aware of. Search giant Google made a surprise announcement that it had reached quantum supremacy last month, raising serious questions about how organisations can manage and secure data in the future. Nowehere is this more important than in the domain of cryptography. Where once it could take hundreds of years to crack encryption methods with traditional computing, quantum computing techniques could lower that to just seconds. "We have to keep one step ahead and find different ways of doing encryption in the face of new technologies," Yoshida, told Computerworld, speaking during the Hitachi Next conference at the MGM Grand, Las Vegas, last week.

CloudMinds XR-1: One of the First Intelligent 5G Humanoid Robots Awakens with Sprint at MWC Los Angeles 2019


WIRE)--CloudMinds Technology Inc. – a global pioneer in cloud artificial intelligence architecture that makes robots and businesses smarter for the benefit of all humanity – will have its revolutionary XR-1 robot interact with guests at the Sprint exhibit (South Hall #1702) at Mobile World Congress Los Angeles, Oct. 22 to 24. XR-1 is one of the first-ever humanoid robots powered by cloud artificial intelligence, commercial Sprint True Mobile 5G and proprietary vision-controlled grasping technology for service robots that also leverages human operator input for constant learning. "Overall, intelligent cloud robots paint the most vibrant picture of how 5G's ultra-low latency, exponentially faster speeds and wider reach can dramatically improve response time and enable a new world of applications," said Bill Huang, founder and CEO of CloudMinds. "With vision-controlled grasping and the ability to perform intricate tasks, the XR-1 simply raises the bar and lays the foundation for an even wider range of intelligent compliant cloud service robots from CloudMinds – from wheeled to two-legged form factors. We are proud to be ushering in a new era of helpful robots for homes and businesses, with an emphasis on the importance of human input."