Toggle light / dark theme

As the use of facial recognition technology (FRT) continues to expand, Congress, academics, and advocacy organizations have all highlighted the importance of developing a comprehensive understanding of how it is used by federal agencies.

The Government Accountability Office (GAO) has surveyed 24 federal agencies about their use of FRT. The performance audit ran from April2020through August 2021. 16 of the 24 agencies reported using it for digital access or cybersecurity, such as allowing employees to unlock agency smartphones with it, six agencies reported using it to generate leads in criminal investigations, five reported using FRT for physical security, such as controlling access to a building or facility, and 10 agencies said they planned to expand its use through fiscal year 2023.

In addition, both the Department of Homeland Security (DHS) and the Department of State reported using FRT to identify or verify travelers within or seeking admission to the United States, identifying or verifying the identity of non-U.S. citizens already in the United States, and to research agency information about non-U.S. citizens seeking admission to the United States. For example, DHS’s U.S. Customs and Border Protection used its Traveler Verification Service at ports of entry to assist with verifying travelers’ identities. The Traveler Verification Service uses FRT to compare a photo taken of the traveler at a port of entry with existing photos in DHS holdings, which include photographs from U.S. passports, U.S. visas, and other travel documents, as well as photographs from previous DHS encounters.

As the middle child of the “DNA to RNA to protein” central dogma, RNA didn’t get much press until its Covid-19 vaccine contribution. But the molecule is a double hero: it both carries genetic information, and—depending on its structure—can catalyze biological functions, regulate which genes are turned on, tweak your immune system, and even crazier, potentially pass down “memories” through generations.

It’s also frustratingly difficult to understand.

Similar to proteins, RNA also folds into complicated 3D structures. The difference, explain Drs. Rhiju Das and Ron Dror at Stanford University, is that we comparatively know so little about these molecules. There are 30 times as many types of RNA as there are proteins, but the number of deciphered RNA structures is less than one percent compared to proteins.

It’s Friday and we’re taking a deep dive into the world of artificial intelligence! Yonatan Geifman (Co-founder and CEO – Deci) joins me this week to discuss how we can use AI itself to craft the next generation of AI. We also chat about how developers can streamline artificial intelligence development and where AI is headed in the next couple years and decades to come. Also this week, I take a closer look at new research from an international group of researchers that aims to answer the question: What if photonics can help us better recognize patterns for machine learning?

Wide Area Networks (WANs), the global backbones and workhorses of today’s internet that connect billions of computers over continents and oceans, are the foundation of modern online services. As COVID-19 has placed a vital reliance on online services, today’s networks are struggling to deliver high bandwidth and availability imposed by emerging workloads related to machine learning, video calls, and health care.

To connect WANs over hundreds of miles, fiber optic cables that transmit data using light are threaded throughout our neighborhoods, made of incredibly thin strands of glass or plastic known as optical fibers. While they’re extremely fast, they’re not always reliable: They can easily break from weather, thunderstorms, accidents, and even animals. These tears can cause severe and expensive damage, resulting in 911 service outages, lost connectivity to the internet, and inability to use smartphone apps.

Scientists from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and from Facebook recently came up with a way to preserve the network when the fiber is down, and to reduce cost. Their system, called ARROW, reconfigures the optical light from a damaged fiber to healthy ones, while using an online algorithm to proactively plan for potential fiber cuts ahead of time, based on real-time internet traffic demands.

A thought-provoking new article poses some hugely important scientific questions: Could brain cells initiated and grown in a lab become sentient? What would that look like, and how could scientists test for it? And would a sentient, lab-grown brain “organoid” have some kind of rights? Buckle up for a quick and dirty history of the ethics of sentience. We associate the term with computing and artificial intelligence, but the question of who (or what) is or isn’t “sentient” and deserving of rights and moral consideration goes back to the very beginning of the human experience. The debate colors everything from ethical consumption of meat to many episodes of Black Mirror.


Well, we don’t want that… or do we?

According to SpaceX CEO Elon Musk, the space company will attempt something very different to recover its massive Super Heavy booster after it launches.

“SpaceX will try to catch largest ever flying object with robot chopsticks,” Musk tweeted early Monday morning.

He was referring, of course, to the giant robotic tower SpaceX is building to catch the primary rocket stage after it gives the company’s Starship spacecraft a boost into orbit.