Computer vision, the technology behind facial recognition, will change the game in real-time analysis of athletes and sharpen training prescriptions, analytics experts say.
Category: robotics/AI – Page 1,333
Canadian agri-tech company Solinftec has announced that it will expand the launch of its new cutting-edge AgTech robotic platform, Solix Ag Robotics, into Canada in partnership with Stone Farms and the University of Saskatchewan. The new robot is state-of-art technology built to scan and monitor fields providing detailed real-time data.
Solinftec’s new technology aims to provide farmers and agronomists with a new level of information to increase yields, improve the usage of inputs, lower environmental impact, and support the global demand for food supply. The robot should be commercially available for use in wheat crops in time for next year’s growing season.
Solinftec’s Solix Ag Robot will autonomously move back and forth through farmers’ fields on four wheels. It will use onboard cameras and other sensors – along with AI-based software – to check the health of plants and assess their nutritional content. Solix Ag is integrated with the company’s artificial intelligence platform, ALICE A.I. Programmed with a neurological network featuring a complex detection algorithm, the new in-field robotic device has the ability not only to scan for crop health and nutrition, insects, and weeds but is built to monitor the entire field ecosystem and provide real-time insights.
Transhumanism is a movement that aims to address – or end – what Bohan calls the “tragedies of reality”: ageing, sickness and involuntary death. It is, she writes, “a philosophy and a project that aims to make us more than human”.
Whether we recognise or understand it, that project has already begun, she says, and it will transform our world – and minds and bodies – within our lifetimes. Not only is it happening, she says, but this transition is necessary if humanity is to survive in perpetuity.
For Bohan, it is no great to leap to imagine that a baby born in 2030 may have its entire genome mapped at birth, that data uploaded to a central health record and cross-referenced at any medical appointment throughout its life. It is no great stretch to think that AI will become the most powerful intellectual force of the century. That human consciousness might be transferred from our “meat sacks” (bodies) into a technological sphere. That the rise of AI and automation might render great swathes of human labour redundant, and that maybe – if we get it right – that could leave more time for leisure, big thinking, meditation, connection.
Mimicking the human body, specifically the actuators that control muscle movement, is of immense interest around the globe. In recent years, it has led to many innovations to improve robotics, prosthetic limbs and more, but creating these actuators typically involves complex processes, with expensive and hard-to-find materials.
Researchers at The University of Texas at Austin and Penn State University have created a new type of fiber that can perform like a muscle actuator, in many ways better than other options that exist today. And, most importantly, these muscle-like fibers are simple to make and recycle.
In a new paper published in Nature Nanotechnology (“Nanostructured block copolymer muscles”), the researchers showed that these fibers, which they initially discovered while working on another project, are more efficient, flexible and able to handle increased strain compared to what’s out there today. These fibers could be used in a variety of ways, including medicine and robotics.
Spiking neural networks (SNNs) capture the most important aspects of brain information processing. They are considered a promising approach for next-generation artificial intelligence. However, the biggest problem restricting the development of SNNs is the training algorithm.
To solve this problem, a research team led by Prof. Zeng Yi from the Institute of Automation of the Chinese Academy of Sciences has proposed backpropagation (BP) with biologically plausible spatiotemporal adjustment for training deep spiking neural networks.
The associated study was published in Patterns on June 2.
DETROIT (AP) — More than 750 Tesla owners have complained to U.S. safety regulators that cars operating on the automaker’s partially automated driving systems have suddenly stopped on roadways for no apparent reason.
The National Highway Traffic Safety Administration revealed the number in a detailed information request letter to Tesla that was posted Friday on the agency’s website.
The 14-page letter dated May 4 asks the automaker for all consumer and field reports it has received about false braking, as well as reports of crashes, injuries, deaths and property damage claims. It also asks whether the company’s “Full Self Driving” and automatic emergency braking systems were active at the time of any incident.
AI For Defense Nuclear Nonproliferation — Angela Sheffield, Senior Program Manager, National Nuclear Security Administration, U.S. Department of Energy.
Angela Sheffield is a graduate student and Space Industry fellow at the National Defense University’s Eisenhower School. She is on detail from the National Nuclear Security Administration (NNSA), where she serves as the Senior Program Manager for AI for Defense Nuclear Nonproliferation Research and Development.
The National Nuclear Security Administration (https://www.energy.gov/nnsa/national-nuclear-security-administration), a United States federal agency, part of the U.S. Dept of Energy and it’s Office of Defense Nuclear Non-Proliferation, responsible for safeguarding national security through the military application of nuclear science.
NNSA maintains and enhances the safety, security, and effectiveness of the U.S. nuclear weapons stockpile; works to reduce the global danger from weapons of mass destruction; provides the United States Navy with safe and effective nuclear propulsion; and responds to nuclear and radiological emergencies in the United States and abroad.
In this position, Ms. Sheffield directs efforts leveraging artificial intelligence, advanced mathematics and statistics, and research computing technologies to develop capabilities to detect nuclear weapons development and characterize foreign nuclear programs around the world.
There’s a trick that allows attackers to hijack a victim’s WhatsApp account and gain access to personal messages and contact list.
The method relies on the mobile carriers’ automated service to forward calls to a different phone number, and WhatsApp’s option to send a one-time password (OTP) verification code via voice call.
Using a three-layer opto-electronic neural network, direct, clock-less sub-nanosecond image classification on a silicon photonics chip is demonstrated, achieving a classification time comparable with a single clock cycle of state-of-the-art digital implementations.
Marketing and the need for data rules
Legislators and decision-makers worldwide have also been active in regulating data although it’s almost impossible to keep pace with change in many places. The genuine exploitation of data requires rules and regulations, as growth always increases the potential for misuse. The task of technology companies is to build data pipelines that ensure the trust and security of AI and analytics.
Data is the new currency for businesses, and the overwhelming growth rate of it can be intimidating. The key challenge is to harness data in a way that benefits both marketers and consumers who produce it. And in doing this, manage the “big data” in an ethically correct and consumer-friendly way. Luckily, there are many great services for analyzing data, effective regulation to protect consumers’ rights and a never-ending supply of information at our hands to make better products and services. The key for businesses is to embrace these technologies so that they can avoid sinking in their own data.