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Over the past decade or so, researchers have been trying to develop techniques that could enable effective collaborative strategies among teams of robots. One of the tasks that teams of robots could complete better than individual robots is simultaneously searching for several targets or objects in their surrounding environment.

The ability of a team of robots to collectively seek and identify numerous targets at once could be useful for a wide range of applications. For instance, it could aid surveillance applications and help to better track individuals or vehicles.

Researchers at Tongji University and University of Stuttgart have recently devised a systematic framework for enabling more effective multiple target search in swarm robots. This framework, presented in a paper published in IEEE Access, is based on the use of a mechanical particle swarm optimization method and artificial potential fields.

For years, Brent Hecht, an associate professor at Northwestern University who studies AI ethics, felt like a voice crying in the wilderness. When he entered the field in 2008, “I recall just agonizing about how to get people to understand and be interested and get a sense of how powerful some of the risks [of AI research] could be,” he says.

To be sure, Hecht wasn’t—and isn’t—the only academic studying the societal impacts of AI. But the group is small. “In terms of responsible AI, it is a sideshow for most institutions,” Hecht says. But in the past few years, that has begun to change. The urgency of AI’s ethical reckoning has only increased since Minneapolis police killed George Floyd, shining a light on AI’s role in discriminatory police surveillance.

This year, for the first time, major AI conferences—the gatekeepers for publishing research—are forcing computer scientists to think about those consequences.

“Facial recognition is a uniquely dangerous form of surveillance. This is not just some Orwellian technology of the future — it’s being used by law enforcement agencies across the country right now, and doing harm to communities right now,” Fight for the Future deputy director Evan Greer said in a statement shared with VentureBeat and posted online.


Members of the United States Congress introduced a bill today, The Facial Recognition and Biometric Technology Moratorium Act of 2020, that would prohibit the use of U.S. federal funds to acquire facial recognition systems or “any biometric surveillance system” use by federal government officials. It would also withhold federal funding through the Byrne grant program for state and local governments that use the technology.

The bill is sponsored by Senators Ed Markey (D-MA) and Jeff Merkley (D-OR) as well as Representatives Ayanna Pressley (D-MA) and Pramila Jayapal (D-WA). Pressley previously introduced a bill prohibiting use of facial recognition in public housing, while Merkley introduced a facial recognition moratorium bill in February with Senator Cory Booker (D-NJ).

The news comes a day after the Boston City Council in Pressley’s congressional district unanimously passed a facial recognition ban, one of the largest cities in the United States to do so. News also emerged this week about Robert Williams, who’s thought to be the first person falsely accused of a crime and arrested due to misidentification by facial recognition.

In 2018, China launched a secret project with the goal of eradicating U.S. submarines.

It’s called Project Guanlan, which means “Watching the Big Waves,” and it’s a space-based laser weapon.

If you’re a regular reader, then this won’t come as a surprise to you.

Just last week I talked about China’s latest laser assault on U.S. forces in the Pacific — an incident on February 17 in which a Chinese destroyer fired laser weapons at an American surveillance plane.

IBM will no longer offer general purpose facial recognition or analysis software, IBM CEO Arvind Krishna said in a letter to Congress today. The company will also no longer develop or research the technology, IBM tells The Verge. Krishna addressed the letter to Sens. Cory Booker (D-NJ) and Kamala Harris (D-CA) and Reps. Karen Bass (D-CA), Hakeem Jeffries (D-NY), and Jerrold Nadler (D-NY).

“IBM firmly opposes and will not condone uses of any [facial recognition] technology, including facial recognition technology offered by other vendors, for mass surveillance, racial profiling, violations of basic human rights and freedoms, or any purpose which is not consistent with our values and Principles of Trust and Transparency,” Krishna said in the letter. “We believe now is the time to begin a national dialogue on whether and how facial recognition technology should be employed by domestic law enforcement agencies.”

U.S. Military Soldiers conduct training on the Common Remotely Operated Weapon Station (CROWS).

CROWS is a stabilized mount that contains a sensor suite and fire control software, allowing on-the-move target acquisition and first-burst target engagement. CROWS also features programmable target reference points for multiple locations, programmable sector surveillance scanning, automatic target ballistic lead, automatic target tracking, and programmable no-fire zones.

Future enhancements include integration of other weapons, escalation-of-force systems, sniper detection, integrated 360-degree situational awareness, increased weapon elevation and commander’s display.

CROWS allows the warfighter to remotely engage targets with precision fire while on the move or stationary to the maximum effective range of the weapon. Capable of target engagement under day and night conditions, the CROWS sensor suite includes a daytime video camera, thermal camera and laser rangefinder. CROWS is designed to mount on any tactical vehicle and supports the MK19 Grenade Machine Gun, M2 .50 Caliber Machine Gun, M240B Machine Gun and M249 Squad Automatic Weapon. (Source: http://asc.army.mil/web/portfolio-item/common-remotely-opera…on-crows/)

Interesting articles on theranostic iron nanowires. I’m interested in watching all aspects of development of nanobots, because I think it may lead to new forms of treatments for superlongevity and superintelligence.

Phys.org: Iron nanorobots go undercover to do surveillance on living cells in real time:

https://phys.org/…/2020–05-iron-nanorobots-undercover-surve…


Identifying the precise location of cells and their migration dynamics is of utmost importance for achieving the therapeutic potential of cells after implantation into a host. Magnetic resonance imaging is a suitable, non-invasive technique for cell monitoring when used in combination with contrast agents.