Father son duo Jim and Andrew Kazmer build and drive one of the most exciting and best supported robots at NHRL in Project Liftoff.
They’ve further developed this into a second bot in Flip n Cut with a variation in weapon type and have pushed the limits of innovation with their fully autonomous combat robot DeepMelt.
How does a fully autonomous robot work, and how will it assist human drivers in future? What is a Meltybrain, how does it work? Why is the choice of wheel so important? Will we see a 250lb Project Liftoff?
Find out in the episode 4 of This Is Havoc: Liftoff.
NHRL is the biggest and most accessible robot combat league in the world, home of the 3lb, 12lb and 30lb robot combat world championships.
We are one of the toughest places to win, but also one of the most friendly and welcoming for all ages and experience.
Around 38% of the world’s total landmass is used for agriculture – yet hunger is worsening, and food security is in crisis, threatened by pressures including climate change, conflict and global recessions.
While there’s no one-stop solution, technology can help to fill some of the gaps. Mechanical engineer Josie Hughes is on a mission to show how robotics can play a role in our everyday lives, particularly when it comes to food. Starting with LEGO robots as a child, the Cambridge graduate now leads the Computational Robot Design & Fabrication Lab (CREATE) at the Swiss Federal Institute of Technology Lausanne (EPFL), where she’s one of the youngest researchers to join as a tenure-track assistant professor.
One of her innovations, a raspberry-picking robot powered by artificial intelligence, could help make farming more efficient and cost-effective, and solve labor shortages – which in the UK alone left £60 million ($74 million) worth of fruit and vegetables rotting in fields this summer. CNN spoke with Hughes about her research, and when robots might be harvesting your next meal.
Apple is working on an online search engine to rival Google amid wider improvements to Spotlight search, according to a recent report from The Information.
The report explains that Apple’s work on search technology is facing setbacks amid a loss of talent to Google. In 2018, Apple sought to bolster development of its own web search engine by buying machine learning startup Laserlike, which was founded by three former Google search engineers. The company’s technology recommended websites based on a user’s interests and browsing history. Now, Laserlike’s founders have reportedly returned to Google.
How programmers turned the internet into a paintbrush. DALL-E 2, Midjourney, Imagen, explained.
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Beginning in January 2021, advances in AI research have produced a plethora of deep-learning models capable of generating original images from simple text prompts, effectively extending the human imagination. Researchers at OpenAI, Google, Facebook, and others have developed text-to-image tools that they have not yet released to the public, and similar models have proliferated online in the open-source arena and at smaller companies like Midjourney.
These tools represent a massive cultural shift because they remove the requirement for technical labor from the process of image-making. Instead, they select for creative ideation, skillful use of language, and curatorial taste. The ultimate consequences are difficult to predict, but — like the invention of the camera, and the digital camera thereafter — these algorithms herald a new, democratized form of expression that will commence another explosion in the volume of imagery produced by humans. But, like other automated systems trained on historical data and internet images, they also come with risks that have not been resolved.
The video above is a primer on how we got here, how this technology works, and some of the implications. And for an extended discussion about what this means for human artists, designers, and illustrators, check out this bonus video: https://youtu.be/sFBfrZ-N3G4
As artificial intelligence and automation technologies continue to improve, they will become more important in driving the growth of new industries that are based on data.
Artificial intelligence is the development of computer systems that are able to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and problem-solving. AI systems are typically designed to be able to learn from experience, adapt to new inputs, and improve their performance over time.
Automation, on the other hand, refers to the use of technology to automate tasks that were previously performed by humans. This can include everything from simple tasks like data entry to more complex tasks like driving a car or managing a supply chain. Automation can be powered by a variety of technologies, including AI, robotics, and machine learning.
ChatGPT, the natural language processing technology developed by OpenAI, is expected to generate an impressive $1 billion in revenue by 2024. This forecast, reported by Reuters, has some in Silicon…
The transportation system in the future will be very different from our current system. We will see flying cars, self-driving cars, passenger drones, hyperloop one system that is projected to reach a top speed of 760 mph (1,220 km/h) and with Starship and the Super Heavy Rocket, most journeys will taking less than 30 minutes, with access to anywhere in the world in an hour or less.
Starship-Super Heavy Earth to Earth : With Starship and the Super Heavy Rocket, most of what people consider to be long distance trips would be completed in less than half an hour. In addition to vastly increased speed, one great benefit about traveling in space, outside of Earth’s atmosphere, is the lack of friction as well as turbulence and weather. Consider how much time we currently spend traveling from one place to another. Now imagine most journeys taking less than 30 minutes, with access to anywhere in the world in an hour or less. It’s designed to service all Earth orbit needs as well as the Moon and Mars. This two-stage vehicle—composed of the Super Heavy Rocket (booster) and Starship (ship).
Hyperloop One : The Hyperloop is a new mode of transportation that moves freight and people quickly, safely, on-demand and direct from origin to destination. Passengers or cargo are loaded into the hyperloop vehicle and accelerate gradually via electric propulsion through a low-pressure tube. The vehicle floats above the track using magnetic levitation and glides at airline speeds for long distances due to ultra-low aerodynamic drag. Hyperloop One systems will be built on columns or tunneled below ground to avoid dangerous grade crossings and wildlife. It’s fully autonomous and enclosed, eliminating pilot error and weather hazards.
Underground Tunnels Transportation : To solve the problem of soul-destroying traffic, roads must go 3D, which means either flying cars or tunnels. Unlike flying cars, tunnels are weatherproof, out of sight and won’t fall on your head. A large network of tunnels many levels deep would fix congestion in any city, no matter how large it grew (just keep adding levels). Fast to dig, low cost tunnels would also make Hyperloop adoption viable and enable rapid transit across densely populated regions, enabling travel from New York to Washington DC in less than 30 minutes.
Pop. Up Next : At the heart of the Pop. Up Next concept is a simple two-seat passenger cabin that can travel one of two ways. The simpler and more conventional route involves attaching to a 60-kW (80-hp) electric powered sled and assuming the role of a self-driving car. Top speed is listed at 100 km/h (62 mph) and it would rely on a 15-kWh battery for a 130-km (81-mi) range. Pop. Up’s modus operandi is simple: passengers plan their journey and book their trip via an easy-to-use app. The system automatically suggests the best transport solution — according to user knowledge, timing, traffic congestion, costs, ridesharing demands — joining either the air or ground module or other means of transportation to the passenger capsule, and following passengers’ preferences and needs.
