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The investigators carried out animal trials with the engineered AsCas12f system, partnering it with other genes and administering it to live mice. The encouraging results indicated that engineered AsCas12f has the potential to be used for human gene therapies, such as treating hemophilia.

The team discovered numerous potentially effective combinations for engineering an improved AsCas12f gene-editing system, and acknowledged the possibility that the selected mutations may not have been the most optimal of all the available mixes. As a next step, computational modeling or machine learning could be used to sift through the combinations and predict which might offer even better improvements.

And as the authors noted, by applying the same approach to other Cas enzymes, it may be possible to generate efficient genome-editing enzymes capable of targeting a wide range of genes. “The compact size of AsCas12f offers an attractive feature for AAV-deliverable gRNA and partner genes, such as base editors and epigenome modifiers. Therefore, our newly engineered AsCas12f systems could be a promising genome-editing platform … Moreover, with suitable adaptations to the evaluation system, this approach can be applied to enzymes beyond the scope of genome editing.”

Small mobile robots carrying sensors could perform tasks like catching gas leaks or tracking warehouse inventory. But moving robots demands a lot of energy, and batteries, the typical power source, limit lifetime and raise environmental concerns. Researchers have explored various alternatives: affixing sensors to insects, keeping charging mats nearby, or powering the robots with lasers. Each has drawbacks: Insects roam, chargers limit range, and lasers can burn people’s eyes.

Researchers at the University of Washington have now created MilliMobile, a tiny, self-driving robot powered only by surrounding light or radio waves. Equipped with a solar panel-like energy harvester and four wheels, MilliMobile is about the size of a penny, weighs as much as a raisin and can move about the length of a bus (30 feet, or 10 meters) in an hour even on a cloudy day. The robot can drive on surfaces such as concrete or packed soil and carry three times its own weight in equipment like a camera or sensors. It uses a to move automatically toward light sources so it can run indefinitely on harvested power.

The team will present its research Oct. 2 at the ACM MobiCom 2023 conference in Madrid, Spain.

There’s no shortage of stories about young, hyper-successful entrepreneurs. From the Forbes’ 30 Under 30 lists to films like “The Social Network”, these stories offer an alluring blueprint for early success: dream huge, work hard, and soon enough you too can get filthy, tech-titan rich.

You’re less likely to hear the more common story: a young entrepreneur starts a new business, accrues debt, runs out of luck, gets demoralized and then, reluctantly, takes on a regular job. What explains the frequency of these crash-and-burn stories? It seems the problem doesn’t lie in the pursuit of entrepreneurism, but rather in the age at which entrepreneurs start launching businesses.

That’s the takeaway of a recent study that found the mean age for the 1-in-1,000 fastest growing new ventures to be 45 years. This finding held true across “high-technology sectors, entrepreneurial hubs, and successful firm exits.” So, although conventional thinking tends to paint the young generation as uniquely creative innovators and (sorry in advance) Big Thinkers, it seems that older generations are more likely to possess traits that facilitate entrepreneurial success.

He also touched upon the news of Google paying Apple to keep Google Search as the default search on iOS devices. Nadella questioned if Google would continue paying if it were the only player in the market. He also said that Apple was using Microsoft to “bid up the price” it received from Google.

Do you think Google would continue to pay Apple if there was no search competition? Why would they do that?

Satya Nadella also talked about Google’s dominance in the market saying, “You get up in the morning, you brush your teeth and you search on Google”. He also told the Google lawyer that Microsoft is “competing against someone who has a 97% share”.

Australian researchers have developed a molecular-sized, more efficient version of a widely used electronic sensor, in a breakthrough that could bring widespread benefits.

Piezoresistors are commonly used to detect vibrations in electronics and automobiles, such as in smartphones for counting steps, and for airbag deployment in cars. They are also used in medical devices such as implantable pressure sensors, as well as in aviation and space travel.

Breakthrough in Piezoresistor Technology.

Aging is a major risk factor for most chronic conditions, evidence shows, yet much of current research focuses on addressing specific diseases. The new translational geroscience initiative at Yale School of Medicine (YSM) seeks to change that approach by studying the effects of aging on various ailments.

“Yale School of Medicine has a long legacy in studying aging, but with this new initiative we are bolstering our ability to delineate basic mechanisms of healthy and accelerated aging,” said Nancy J. Brown, MD, Jean and David W. Wallace Dean of the Yale School of Medicine and C.N.H. Long Professor of Internal Medicine.

The mechanisms underlying the aging process are often also driving the development and progression of chronic conditions, explains Thomas Gill, MD, Humana Foundation Professor of Medicine (Geriatrics) and professor of epidemiology, Yale School of Public Health, and of investigative medicine at YSM, who leads the Yale Pepper Older Americans Independence Center.

Google Maps can now calculate rooftops’ solar potential, track air quality, and forecast pollen counts.

The platform recently launched a range of services like Solar API, which calculates weather patterns and pulls data from aerial imagery to help understand rooftops’ solar potential. The tool aims to help accelerate solar panel deployment by improving accuracy and reducing the number of site visits needed.

As seasonal allergies get worse every year, Pollen API shows updated information on the most common allergens in 65 countries by using a mix of machine learning and wind patterns. Similarly, Air Quality API provides detailed information on local air quality by utilizing data from multiple sources, like government monitoring stations, satellites, live traffic, and more, and can show areas affected by wildfires too.