Collaborating Authors


RO-MAN 2021: Robot and Human Interactive Communication including Roboethics


RO-MAN 2021 (IEEE International Conference on Robot and Human Interactive Communication) is coming soon, from 8 to 12 August 2021, and we are taking part in the conference once again, this year as silver sponsors. RO-MAN 2021 (this year taking place virtually) is a key event in the community of Robot & Human technologies, which we at PAL Robotics are committed to contributing to. RO-MAN this year celebrates its 30th anniversary. This annual academic conference was launched in 1992 in Tokyo, Japan and is sponsored by the IEEE Robotics and Automation Society. RO-MAN 2021 is being organised by the University of British Columbia and the University of Waterloo, Canada.

The latest in humanoid robots: TALOS, Memmo & Humanoids 2020


Last week we participated in The IEEE-RAS International Conference on Humanoid Robots (Humanoids) as Gold Sponsors. We took part in the workshops'Towards physical-social human-robot interaction,' and'TALOS: Status & Progress', as invited speakers, as well as offering a Virtual Tour of our legged robots including our latest projects, SOLO12 & Kangaroo. The IEEE-RAS International Conference on Humanoid Robots is the internationally recognized prime event of the humanoid robotics community. Established in 2000 and held annually, the Humanoids Conference is a forum for researchers working in the area of humanoid robots including mechatronics, control, perception, planning, learning, human-robot interaction, biomechanics, artificial intelligence, cognition, and neuroscience. Although this year's event took place virtually, PAL Robotics has previously taken part in Humanoids Conferences around the world, including in Toronto, and Beijing in recent years. At the event, we offered a Virtual Tour of all of our legged robots featuring our Humanoids Team: Sai Kishor, Adrià Roig, and Narcis Miguel.

AI Gives 'Days of Advanced' Warning in Recent NORTHCOM Networked Warfare Experiment


Using artificial intelligence for rapid data collection and integration of shrunk the commander's decision cycle from days to minutes in some instances in a recent information experiment by U.S. Northern Command, the head of NORTHCOM said Wednesday. Speaking to reporters at the Pentagon, Gen. Glen VanHerck said the Global Information Dominance Exercise or GIDE, "focused a lot on contested logistics to give us a scenario where maybe a line of communication such as the Panama Canal may be challenged," by a peer competitor such as China or Russia. The experiment wrapped up during the second week of July. The experiment was hosted by NORTHCOM but included 11 combatant commands, which illustrated how they can integrate and act on data from satellites, planes, and other sources. It also tested the command's ability to use new artificial intelligence abilities to monitor and predict potential threats using those data sources.

Wingsure develops AI-driven mobile insurance app for small farmers - Agriculture Post


California, US-based, SRI International today announced that its insurtech venture spinout, Wingsure, is expanding its artificial intelligence (AI) and augmented reality (AR) capabilities to deliver instant access to personalised insurance products for underserved small farmers and communities worldwide. The initial implementation will focus on India where 50 per cent of households are dependent on agriculture for their living. Many are located in remote rural locations without access to financial services and are unable to insure against crop failure or other unexpected events. Wingsure's mobile platform provides previously inaccessible services to this enormous market, where 600 million people are agri dependent. Wingsure is an insurtech platform that revolutionises how small farmers and rural customers leverage insurance and financial products to transform their lives and livelihood.

The Rise And Rise Of Autonomous Vehicles Startups In India


"Even primitive autonomous technology that exists today is better than an average human driver on the road" Recent moves by big players signal at the potential of India's AV ecosystem. Tata Elxsi has created a full-stack IP called AutonomAI to accelerate programs for AVs, and Intel's decision to gather data on traffic patterns to create algorithms to be used in India and overseas for autonomous driving. Moreover, a large number of AV startups have come up the ladder, especially in the last six years, namely: Swaayatt (2015), AutoNxt (2016), Ati Motors and Flux Auto (2017), Flo Mobility (2019), Minus Zero (2020) etc. Autonomous vehicles (AVs) startups in India, including Swaayatt Robots, Ati Motors, Netradyne, have raised substantial funding recently. Saurabh Chandra, Co-Founder, Ati Motors, said: "There is a confluence of factors due to the pandemic: workforce management has become challenging, prices are rising, making automation more attractive while technology is getting better and cheaper. There is an explosion of demand in the eCommerce space that can't be addressed by simply adding people; technology is the only way to handle the scale." India is a huge market.

Autonomous Vehicles Should Start Small, Go Slow


Many young urbanites don't want to own a car, and unlike earlier generations, they don't have to rely on mass transit. Instead they treat mobility as a service: When they need to travel significant distances, say, more than 5 miles (8 kilometers), they use their phones to summon an Uber (or a car from a similar ride-sharing company). If they have less than a mile or so to go, they either walk or use various "micromobility" services, such as the increasingly ubiquitous Lime and Bird scooters or, in some cities, bike sharing. The problem is that today's mobility-as-a-service ecosystem often doesn't do a good job covering intermediate distances, say a few miles. Hiring an Uber or Lyft for such short trips proves frustratingly expensive, and riding a scooter or bike more than a mile or so can be taxing to many people.

Machine Learning development with AWS Sage Maker


We can easy to set up a training environment from a notebook with "click" for elastic of CPUs/GPUs * Connectivity and easy to deploy – AWS SageMaker is AWS managed service and it easy to integrate with other AWS services inside of a private network. Which also impact to big data solution, ETL processed with data can be processing inside of a private network and reduce cost for the transfer. AWS managed service will help to reduce the resource we need to create.

Nexyad CEO: "Our artificial intelligence is a new way of reading maps."


"If you talk about the India story, every year there are around 450,000 road crashes, in which 150,000 people die. Accidents impose significant cost as much as 3% of GDP every year," says Selva Ramanujam, CEO of Montbleu Technologies. "What we want to achieve is to build a culture of safe driving behavior, encouraging drivers to drive with caution and at an appropriate speed for the conditions. Using this software, we will capture the data of the driver taking a risk at each moment and publish a driving behavior score. For those with a lower score, we coach them with continuous feedback, that gives the driver an opportunity to change driving behavior in order to influence the cost of vehicle insurance cover.

China built the world's largest facial recognition system. Now, it's getting camera-shy.

Washington Post - Technology News

But Beijing has become alarmed at the growing power of Big Tech -- including the risk that personal information of senior officials could leak overseas -- and has moved this year to rein in China's Internet giants. This included derailing the IPO plans of mobile payment titan Ant Group, launching a probe into Didi Chuxing, the Chinese equivalent of Uber, and a ban on the country's lucrative online, for-profit tutoring services for students.

DigiMax Expands Global Marketing into Asia with Signing of Collaboration Deal in Hong Kong, by @accesswire


TORONTO, ON / ACCESSWIRE / July 28, 2021 / DigiMax Global Inc. (the'Company' or'DigiMax') (CSE:DIGI)(OTC:DBKSF), a company that provides artificial intelligence ("AI") and cryptocurrency technology solutions, is pleased to announce that it has signed its first collaboration agreement to expand CryptoHawk services into Hong Kong and surrounding areas. CryptoHawk is an Artificial Intelligence driven, price-trend prediction tool that can be profitably used by any investor interested in trading Bitcoin or Ethereum. The tool is different as it uses AI and machine learning to capture profit from the volatility of crypto currencies, rather than incur the risk of buy-and-hold investments. As previously announced by the Company, in its first full month of operation in June 2021, CryptoHawk signals achieved a 1-month, long-short return on BTC of more than 25% compared to a buy-and-hold return for the same period of a loss of 10%. In both up and down markets, CryptoHawk has the potential to deliver subscribers much higher returns when trading.