Futurist says drones with biometrics will be deployed against mass shootings

Futurist and celebrity speaker Thomas Frey is hailing a new solution for the epidemic of mass shootings in the United States that sounds straight from an episode of Black Mirror: Artificial intelligence-enabled drones.

The former IBM engineer said in a recent blog post that flying machines could be upgraded into advanced crisis management tools.

Biometric capabilities such as ocular scanning or fingerprint identification could enhance the drones’ ability to identify individuals even in scenarios where facial recognition is insufficient. AI can be employed to analyze body language and facial expressions to make judgments about the likely intentions of individuals, writes Frey, who is the founder of the DaVinci Institute think tank.

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Researchers Develop Non-Invasive Photonic Radar System for Precise Vital Sign Monitoring

Constant monitoring of vital health signs is essential in various clinical settings, such as intensive care units, aged care facilities, and safety monitoring situations. However, existing wired or invasive contact systems can be inconvenient or unsuitable for certain patients. To address this, scientists from the University of Sydney Nano Institute and the NSW Smart Sensing Network have created a photonic radar system that enables highly precise and non-invasive monitoring. Their research, published in Nature Photonics, demonstrates the potential for remote vital-sign monitoring and multiple patient tracking from a centralized station.

The newly developed radar system was tested on cane toads and devices simulating human breathing, successfully detecting pauses in breathing patterns. The advantage of this approach is its ability to monitor vital signs without physical contact, ensuring patient comfort and reducing the risk of cross-contamination, particularly in infection control settings. The photonic radar system utilizes a light-based, photonics approach instead of traditional electronics, generating and processing radar signals with wideband radio frequency (RF) capabilities. Lead author Ziqian Zhang explains that the system combines photonics with LiDAR (light detection and ranging), resulting in a vital sign detection system with high resolution and accuracy suitable for clinical environments.

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AI-Powered Robotic Glove Offers Hope for Stroke Survivors to Play Music Again

Strokes are a leading cause of long-term disability, often diminishing mobility in more than half of stroke survivors aged 65 and older. Rehabilitation becomes crucial for these patients to regain the ability to walk, talk, and perform daily tasks. For those with a passion for music, playing an instrument might seem like an unattainable dream. However, a new AI-powered soft robotic glove is offering hope, enabling individuals trained in music who have suffered a stroke to play again and engage in tasks requiring dexterity and coordination.

Developed by Dr. Maohua Lin, a professor at the Department of Ocean & Mechanical Engineering at Florida Atlantic University, the smart exoskeleton glove integrates tactile sensors, soft actuators, and artificial intelligence to aid in relearning manual tasks post-neurotrauma. Weighing only 191 grams, the glove is designed as a flexible, multi-layered 3D-printed robo-glove, intended to be gentle on the skin of the palm and wrist area. It can be customized to fit each patient’s hand and facilitates natural hand movements.

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AI Foundation Launches AI.XYZ: Your Personal AI Assistant for Work-Life Balance

AI Foundation, the AI research lab known for creating virtual personalities like Deepak Chopra, has introduced AI.XYZ, a groundbreaking platform that allows users to create their own AI assistants. The aim is to enhance productivity and promote a healthier work-life balance for individuals. The platform empowers users to design personalized AI assistants capable of providing support in both personal and professional settings.

Unlike generic AI assistants from major tech companies, AI.XYZ enables users to create AI assistants exclusive to their needs. Each assistant is tailored to its creator, understanding their values, goals, and preferences. These AI assistants can assist with a variety of tasks such as note-taking, email writing, brainstorming, and providing personalized advice and perspectives.

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The Expansion of Self-Driving Taxis Raises Concerns Over Privacy and Surveillance

As self-driving taxis continue to proliferate in cities like San Francisco, Los Angeles, Phoenix, and Vegas, concerns are growing regarding their impact on privacy and the potential collaboration between these companies and law enforcement. Bloomberg recently investigated how self-driving car companies are working with the police and found that caution is being exercised in the release of data to investigations.

While security cameras are already prevalent in American cities, self-driving cars represent a new level of access for law enforcement, raising questions about privacy infringement. These autonomous vehicles traverse the city, capturing a wider range of footage compared to stationary security cameras. Law enforcement finds it more convenient to approach a single company with a substantial video repository and a dedicated response team rather than reaching out to numerous businesses with their own security systems.

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Alef Aeronautics’ Electric Flying Car Receives FAA Clearance for Testing

Alef Aeronautics has achieved a significant milestone as its flying car, the “Model A,” has received official clearance for testing from the Federal Aviation Administration (FAA). The Special Airworthiness Certification granted to Alef is the first of its kind, allowing the company to conduct road and aerial trials before making the vehicle available to the public.

According to Alef, the certification obtained from the FAA imposes certain limitations on the vehicle’s permitted flying locations and purposes. Additionally, the Model A must comply with safety standards set by the National Highway and Traffic Safety Administration before it can take to the skies. However, Alef’s CEO, Jim Dukhovny, expressed optimism, stating that the company is hopeful that the next step will involve meeting the necessary safety standards.

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Autonomous Fish Robot “Belle” Enhances Underwater Research without Disturbing Marine Environment

Researchers in Switzerland have developed an autonomous fish robot named “Belle” that enables conservationists to gain valuable insights into underwater ecosystems without disrupting marine life. Belle has been specifically designed to collect data in a minimally invasive manner, providing a clearer understanding of organisms inhabiting the sea.

Belle, developed by mechanical engineering students at ETH Zurich, the Swiss Federal Institute of Technology, moves silently and mimics the behavior of real fish, creating minimal disturbance as it navigates through the environment. This is particularly important in vulnerable areas such as coral reefs, where traditional propeller-based systems can harm coral and scare away marine life.

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Apple Plans to Launch AI-Powered Health Coach, Codenamed “Quartz”

Apple is reportedly developing a paid health coach service called “Quartz,” which utilizes AI and data from the Apple Watch to offer personalized suggestions and create tailored coaching programs for users. According to Bloomberg, the service aims to help individuals improve their exercise routines, sleep patterns, and eating habits. While Quartz is not expected to be announced this year, it is slated for release next year.

Bloomberg’s report also highlights additional health-focused initiatives from Apple. For instance, iPadOS 17 will introduce a dedicated version of the Health app for iPads. Furthermore, Apple is said to be working on an emotion tracker (distinct from the rumored journaling app) and new features to assist users with nearsightedness. Apple has not yet responded to requests for comment regarding these developments.

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Pneumatics Bring Power and Maneuverability to Legged Robots Inspired by Cheetahs

Legged robots have gained popularity due to the use of electric motors, providing controlled movement for robotic limbs. However, when it comes to achieving the instantaneous power of biological muscles, electric motors fall short. To address this, researchers from the University of Cape Town have turned to an old-school alternative—pneumatics. Inspired by the rapid maneuvers of cheetahs, they have demonstrated that pneumatics can offer high force-to-weight ratios, built-in compliance, and cost-effective solutions, making them a viable option for powerful and agile legged robots.

The use of hydraulics in legged robots can be complicated, expensive, and messy if accidents occur. Furthermore, while hydraulics are easier to model and control, they lack forgiveness in real-world applications. Pneumatics, on the other hand, offer simplicity, relatively low cost, and compliance that hydraulics lack. The challenge lies in controlling pneumatics effectively due to the compressibility of air, which disrupts traditional control methods. Nevertheless, researchers have found that complex control may not be necessary to mimic cheetah-like locomotion.

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IBM’s AI Model Generates Antiviral Molecules to Combat COVID-19 and Future Pandemics

A groundbreaking study conducted by researchers from IBM, Oxford University, and Diamond Light Source demonstrates the potential of IBM’s AI model, MoLFormer, in generating antiviral molecules. These molecules have shown efficacy against multiple target virus proteins, including SARS-CoV-2, the virus responsible for COVID-19. The findings, published in Science Advances, highlight how AI can accelerate the drug discovery process, paving the way for faster response to future pandemics.

The collaboration between IBM, Oxford University, and Diamond Light Source began when a group of computer scientists at IBM set out to explore the possibilities of generative AI in designing novel molecules to combat SARS-CoV-2. Initially skeptical, experts like David Stuart from Oxford University, renowned for his work on HIV, SARS, and Ebola, joined forces with IBM and embarked on a three-year journey. Their goal was to demonstrate that generative AI could identify viable starting points for antivirals through collaboration with Enamine Ltd., a chemical supplier, and other researchers at Oxford.

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Hydrogen-Powered Train Unveiled in North America, Paving the Way for Green Transportation

A remarkable milestone in green transportation has been achieved with the introduction of North America’s first hydrogen-powered train. The groundbreaking project, which commenced earlier this month, aims to demonstrate the viability of hydrogen as a clean alternative to diesel fuel on railways where traditional electrification methods are challenging.

The train, named M4 (Multi-Modal Mobility Morphobot), has been developed by French company Alstom and is currently operating on a captivating two-and-a-half-hour journey through central Quebec. The demonstration showcases how electricity stored as hydrogen can effectively replace diesel, offering a greener solution for rail travel. With up to 120 passengers on board, the tourist train runs from Quebec City’s Montmorency Falls to Baie-Saint-Paul along the Train de Charlevoix route on Wednesdays through Sundays until September 30.

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M4: A Shape-Shifting Robot Redefining Locomotion Capabilities

A groundbreaking robot named M4 (Multi-Modal Mobility Morphobot) has emerged as a real-life Transformer, showcasing an extraordinary range of motion capabilities. Developed by a team led by Professor Mory Gharib at Caltech’s Center for Autonomous Systems and Technologies (CAST), M4 can autonomously adapt its body to achieve eight distinct types of motion, enabling it to navigate various terrains with unparalleled versatility.

The brainchild of Professor Gharib and Assistant Professor Alireza Ramezani from Northeastern University, M4 opens up a world of possibilities in fields ranging from medical transportation to space exploration. The research team, including Eric Sihite, Reza Nemovi, and Arash Kalantari, aimed to design a robot that showcases exceptional mobility and diverse locomotion modes, resulting in the successful realization of the M4 project.

The robot’s remarkable flexibility is further enhanced by artificial intelligence, allowing it to select the most effective mode of locomotion based on the terrain it encounters. For instance, M4 can roll on four wheels, stand on two wheels like a meerkat to overcome obstacles, walk using wheel-like feet, transform its wheels into rotors for flight, and even tackle steep slopes using two rotors. The seamless transition between these modes showcases the power of M4’s adaptability.

By employing artificial intelligence and reconfigurable appendages, M4 can repurpose its components to optimize its locomotion capabilities. When faced with an unfamiliar environment, M4 can analyze the situation and adjust its form accordingly. For example, it can roll on wheels for energy efficiency but switch to a bipedal stance to gain a better view of the surroundings. If confronted with an impassable obstacle, M4 can transform its wheels into rotors and effortlessly fly over the obstruction before returning to its rolling mode.

Professor Gharib emphasizes that robots equipped with multi-modal components and aided by artificial intelligence are key to navigating unknown environments successfully. One of M4’s notable features is its ability to repurpose its appendages as wheels, legs, or thrusters. When standing on two wheels, M4’s folding wheels provide balance, and when flying, all four wheels fold up, allowing the propellers to lift the robot off the ground.

The design of M4 draws inspiration from nature, taking cues from animals such as chukar birds and sea lions. By studying how these creatures utilize their appendages for various locomotion strategies, the research team incorporated similar concepts into M4’s design. Although nature has previously inspired biologists with examples of appendage repurposing, engineering is now exploring these concepts in greater depth.

Equipped with autonomous capabilities, M4 can navigate complex environments and make informed decisions about the most suitable mode of locomotion. It has undergone successful outdoor testing on Caltech’s campus, showcasing its ability to adapt to diverse terrains.

The Nature Communications paper, titled “Multi-Modal Mobility Morphobot (M4), A Platform to Inspect Appendage Repurposing for Locomotion Plasticity Enhancement,” highlights the significant advancements achieved through the development of M4 and the potential it holds for revolutionizing the field of robotics.

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