Good news electric vehicle enthusiasts, Tesla owners, and Elon Musk fanboys: Musk has announced that he’s working on Tesla Master Plan Part 3.
“Looks like Musk enjoyed @danahull’s latest @hyper_drive newsletter column reflecting on Tesla’s master plans and its missing affordable EVs. https://bloom.bg/3667rlp”
Mitsubishi’s AI not only improves performance, it also fosters trust.
Mitsubishi’s Electric AI not only improves performance, it also fosters trust.
Developments in artificial intelligence and human enhancement technologies have the potential to remake American society in the coming decades. A new Pew Research Center survey finds that Americans see promise in the ways these technologies could improve daily life and human abilities. Yet public views are also defined by the context of how these technologies would be used, what constraints would be in place and who would stand to benefit – or lose – if these advances become widespread.
Fundamentally, caution runs through public views of artificial intelligence (AI) and human enhancement applications, often centered around concerns about autonomy, unintended consequences and the amount of change these developments might mean for humans and society. People think economic disparities might worsen as some advances emerge and that technologies, like facial recognition software, could lead to more surveillance of Black or Hispanic Americans.
This survey looks at a broad arc of scientific and technological developments – some in use now, some still emerging. It concentrates on public views about six developments that are widely discussed among futurists, ethicists and policy advocates. Three are part of the burgeoning array of AI applications: the use of facial recognition technology by police, the use of algorithms by social media companies to find false information on their sites and the development of driverless passenger vehicles.
Tesla had a rough start to the week, but the company is finally getting some good news to end it.
It will be a webcast live next month.
On April 25, two pilots, Luke Aikins and Andy Farrington will jump out of their single-seater aircraft and attempt to switch planes as they plummet towards the Earth, energy drink company, Red Bull has announced on its website.
Continue reading “A Stunt Pilot Just Shattered the World Tunnel Flight Record” »
States seeking electric vehicle charging station funds can calculate job creation.
With the sale of electric vehicles on the rise, the race is on to build a network of convenient, affordable electric vehicle charging stations to keep the cars running.
There are currently about 47,000 public charging stations across the country. As the administration rolls out its plan to build a network of 500,000 electric charging stations across the nation by the end of the decade, the number of charging stations will increase significantly — and quickly.
Steadicopter, a leader in the Rotary Unmanned Aerial Systems (RUAS) industry, and Smart Shooter, a world-class designer, developer, and manufacturer of innovative fire control systems that significantly increase the accuracy and lethality of small arms, have unveiled the Golden Eagle — the first-ever unmanned helicopter with precise hit capabilities. The two companies will present the solution at the ISDEF exhibition in Tel Aviv.
Based on the combat-proven Black Eagle 50E platform, the Golden Eagle incorporates AI-based technology and Smart Shooter’s SMASH Dragon system. The AI-based technology enables superior situational awareness and autonomous multi-target classification and tracking. The SMASH Dragon, a remotely-operated robotic weaponry payload, locks on the target, tracks it and ensures precise target hit. SMASH Dragon integrates a unique stabilization concept with proprietary target acquisition, tracking algorithms and sophisticated computer vision capabilities that allow accurate hitting of static and moving targets while mounted onto the Golden Eagle.
“Using artificial intelligence, the new system provides a field combat solution for the modern battlefield. Forces on the ground can now send a helicopter for autonomous intelligence gathering into the relevant area and, having identified and classified the targets, send in another helicopter with precise attack capabilities.”
As the world struggles to improve the efficiency of cars and other vehicles in order to curb greenhouse gas emissions and improve the range of electric vehicles, the search is on for ever-lighter materials that are strong enough to be used in the bodies of cars.
Lightweight materials made from carbon fiber, similar to the material used for some tennis rackets and bicycles, combine exceptional strength with low weight, but these have been more expensive to produce than comparable structural elements made of steel or aluminum. Now, researchers at MIT and elsewhere have come up with a way of making these lightweight fibers out of an ultracheap feedstock: the heavy, gloppy waste material left over from the refining of petroleum, material that refineries today supply for low-value applications such as asphalt, or eventually treat as waste.
Not only is the new carbon fiber cheap to make, but it offers advantages over the traditional carbon fiber materials because it can have compressional strength, meaning it could be used for load-bearing applications. The new process is described in the journal Science Advances, in a paper by graduate student Asmita Jana, research scientist Nicola Ferralis, professor Jeffrey Grossman, and five others at MIT, Western Research Institute in Wyoming, and Oak Ridge National Laboratory in Tennessee.
Over the past few decades, computer scientists have developed increasingly advanced techniques to train and operate robots. Collectively, these methods could facilitate the integration of robotic systems in an increasingly wide range of real-world settings.
Researchers at Carnegie Mellon University have recently created a new system that allows users to control a robotic hand and arm remotely, simply by demonstrating the movements they want it to replicate in front of a camera. This system, introduced in a paper pre-published on arXiv, could open exciting possibilities for the teleoperation and remote training of robots completing missions in both everyday settings and environments that are inaccessible to humans.
“Prior works in this area rely either on gloves, motion markers or a calibrated multi-camera setup,” Deepak Pathak, one of the researchers who developed the new system, told TechXplore. “Instead, our system works using a single uncalibrated camera. Since no calibration is needed, the user can be standing anywhere and still successfully teleoperate the robot.”
