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Before the pandemic started (ah, those glorious days…) a collective panic was mounting over automation and robots gradually replacing workers in various fields, or “stealing our jobs,” as the common refrain went. These worries haven’t subsided two years later, but they’re being countered by severe and largely unexpected labor shortages across multiple sectors of the economy. One of the industries that’s struggling most is restaurants. While we may still encounter automation-related unemployment problems down the road, right now it seems robots are lending a much-needed hand in food service.

One of these robots is none other than Flippy, initially debuted in 2017 to flip burgers at a California fast food chain. Since then Miso Robotics, Flippy’s maker, has expanded the bot’s capabilities, creating a version that can cook chicken wings, fries, and other greasy delights. This week also brought a significant expansion to Flippy’s presence as White Castle announced plans to install the robot at more than 100 restaurants this year.

White Castle was the first restaurant chain to significantly invest in Flippy, piloting the robotic assistant in 2020. The chain gave feedback about the robot to Miso, and the company put out a second iteration called Flippy 2 last November. This new robot can independently do the work of an entire fry station: its AI-enabled vision identifies foods, picks them up, and cooks them in fry baskets designated for that food specifically. The bot then moves cooked items to a hot-holding area.

WASHINGTON, Feb 17 (Reuters) — A single activist helped turn the tide against NSO Group, one of the world’s most sophisticated spyware companies now facing a cascade of legal action and scrutiny in Washington over damaging new allegations that its software was used to hack government officials and dissidents around the world.

It all started with a software glitch on her iPhone.

An unusual error in NSO’s spyware allowed Saudi women’s rights activist Loujain al-Hathloul and privacy researchers to discover a trove of evidence suggesting the Israeli spyware maker had helped hack her iPhone, according to six people involved in the incident. A mysterious fake image file within her phone, mistakenly left behind by the spyware, tipped off security researchers.

Most energy-producing technologies used today are unsustainable, as they cause significant damage to our planet’s natural environment. In recent years, scientists worldwide have thus been trying to devise alternative energy solutions that take advantage of abundant and natural resources.

In addition to , wind and seawater energy solutions, some physicists and engineers have been exploring the possibility of sourcing energy from nuclear reactions. This is the process through which two atomic nuclei combine to form a heavier nucleus and an energetic neutron.

Two research teams working at the Lawrence Livermore National Laboratory’s (LLNL) National Ignition Facility (NIF) demonstrated new approaches to increase nuclear energy production via a laser-driven . Their findings, published in recent Nature and Nature Physics papers, open new exciting possibilities for one day using self-heating plasmas as sustainable energy sources.

Scientists have uncovered a set of neurons in fruit flies that shut down in cold temperatures and slow reproduction, a system conserved in many insects, including mosquitoes, which could provide a target for pest control.

Their study, published Feb. 16 in the journal Current Biology, takes a step toward understanding how a fly’s brain contributes to sensing the cold and limiting . Insects and animals, including many mammals, curb reproduction in the winter to protect their newborns from being exposed to harsh winter conditions.

The study has and agricultural implications, as tapping into environmentally-dependent mechanisms that influence reproduction in and crop pests may offer new control strategies. Mosquitoes act as reservoirs for the malaria-causing Plasmodium falciparum parasite, which spend the winter inside them.

Northwestern University synthetic biologists have developed a low-cost, easy-to-use, hand-held device that can let users know—within mere minutes—if their water is safe to drink.

The new device works by using powerful and programmable genetic networks, which mimic , to perform a range of logic functions.

Among the DNA-based circuits, for example, the researchers engineered cell-free molecules into an analog-to-digital converter (ADC), a ubiquitous circuit type found in nearly all electronic devices. In the -quality device, the ADC circuit processes an analog input (contaminants) and generates a digital output (a visual signal to inform the user).

Today’s rechargeable batteries are a wonder, but far from perfect. Eventually, they all wear out, begetting expensive replacements and recycling.

“But what if batteries were indestructible?” asks William Chueh, an associate professor of materials science and engineering at Stanford University and senior author of a new paper detailing a first-of-its-kind analytical approach to building better batteries that could help speed that day. The study appears in the journal Nature Materials.

Chueh, lead author Haitao “Dean” Deng, Ph.D. ‘21, and collaborators at Lawrence Berkeley National Laboratory, MIT and other research institutions used artificial intelligence to analyze new kinds of atomic-scale microscopic images to understand exactly why batteries wear out. Eventually, they say, the revelations could lead to batteries that last much longer than today’s. Specifically, they looked at a particular type of lithium-ion batteries based on so-called LFP materials, which could lead to mass-market electric vehicles because it does not use chemicals with constrained supply chains.

Brain organization differs between boys and girls with autism, according to a new study from the Stanford University School of Medicine.

The differences, identified by analyzing hundreds of brain scans with artificial intelligence techniques, were unique to and not found in typically developing boys and girls. The research helps explain why autism symptoms differ between the sexes and may pave the way for better diagnostics for girls, according to the scientists.

Autism is a developmental disorder with a spectrum of severity. Affected children have social and communication deficits, show restricted interests and display repetitive behaviors. The original description of autism, published in 1943 by Leo Kanner, MD, was biased toward male patients. The disorder is diagnosed in four times as many boys as girls, and most autism research has focused on males.