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Japanese researchers have created a mind-controllable Gundam robot, turning one of the anime’s most exciting technological concepts into reality.

The model, based on the mobile suit Zaku, has been available through Bandai’s Zeonic Technics package since last year, but that version requires manual programming on a smartphone app.

【課題】 来週から休暇に入る受講生は、この機会にミニチュアザクを組み立てて、課題に挑戦をして欲しい 今回の課題はプログラムだ。アクションコードに音声をプログラムした。 簡単に音声は追加出来るぞ。 #ジオニックテクニクス #ZEONICTECHNICS pic.twitter.com/rX5OSisXs1

The 22nd edition of the China Hi-Tech Fair, with more than 3,300 online and offline exhibitors from the mainland and overseas, has put renewed emphasis on the ways innovative technology could help people better adapt to changes caused by the Covid-19 outbreak.


China Hi-Tech Fair, the country’s biggest technology show, features a range of artificial intelligence, smart city and robotic applications.

They’ re expanding skills, moving up the corporate ladder, showing awesome productivity and retention rates, and increasingly shoving aside their human counterparts. One multi-tasker bot, from Momentum Machines, can make (and flip) a gourmet hamburger in 10 seconds and could soon replace an entire McDonalds crew. A manufacturing device from Universal Robots doesn’t just solder, paint, screw, glue, and grasp—it builds new parts for itself on the fly when they wear out or bust.

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It has been really fun talking to the kids about AI. Should we help AI consciousness to emerge — or should we try to prevent it? Can you design a kindest AI? Can we use AI as an universal emotion translator? How to search for an AI civilization? And many many other questions that you can discuss with kids.


Ultimately, early introduction of AI is not limited to formal instruction. Just contemplating future scenarios of AI evolution provides plentiful material for engaging students with the subject. A survey on the future of AI, administered by the Future of Life Institute, is a great starting point for such discussions. Social studies classes, as well as school debate and philosophy clubs, could also launch a dialogue on AI ethics – an AI nurse selecting a medicine, an AI judge deciding on a criminal case, or an AI driverless car switching lanes to avoid collision.

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“I mean, I suspect we could have an army of 120,000, of which 30,000 might be robots, who knows?” Carter said, although he stressed he was not setting any particular target in terms of future numbers.

Investment in robot warfare was to be at the heart of the planned integrated five-year defence review, whose future was thrown into doubt after the chancellor, Rishi Sunak, postponed the cross-government spending review to which it had been linked last month.

Carter said negotiations with Downing Street and the Treasury about salvaging the multi-year defence funding settlement were “going on in a very constructive way” – as he lobbied in public for a long-term financial deal.

DARPA recently awarded contracts to five companies to develop algorithms enabling mixed teams of manned and unmanned combat aircraft to conduct aerial dogfighting autonomously.

Boeing, EpiSci, Georgia Tech Research Institute, Heron Systems, and physicsAI were chosen to develop air combat maneuvering algorithms for individual and team tactical behaviors under Technical Area (TA) 1 of DARPA’s Air Combat Evolution (ACE) program. Each team is tasked with developing artificial intelligence agents that expand one-on-one engagements to two-on-one and two-on-two within-visual-range aerial battles. The companies’ algorithms will be tested in each of three program phases: modeling and simulation, sub-scale unmanned aircraft, and full-scale combat representative aircraft scheduled in 2023.

“The TA1 performers include a large defense contractor, a university research institute, and boutique AI firms, who will build upon the first-gen autonomous dogfighting algorithms demonstrated in the AlphaDogfight Trials this past August,” said Air Force Col. Dan “Animal” Javorsek, program manager in DARPA’s Strategic Technology Office. “We will be evaluating how well each performer is able to advance their algorithms to handle individual and team tactical aircraft behaviors, in addition to how well they are able to scale the capability from a local within-visual-range environment to the broader, more complex battlespace.”

Spinal cord injury (SCI) is of significant concern to the Department of Defense. Of the 337,000 Americans with serious SCIs, approximately 44,000 are veterans, with 11,000 new injuries occurring each year.1 SCI is a complex condition – the injured often face lifelong paralysis and increased long-term morbidity due to factors such as sepsis and autonomic nervous system dysfunction. While considerable research efforts have been devoted toward restorative and therapeutic technologies to SCIs, significant challenges remain.

DARPA’s Bridging the Gap Plus (BG+) program aims to develop new approaches to treating SCI by integrating injury stabilization, regenerative therapy, and functional restoration. Today, DARPA announced the award of contracts to the University of California-Davis, Johns Hopkins University, and the University of Pittsburgh to advance this crucial work. Multidisciplinary teams at each of these universities are tasked with developing systems of implantable, adaptive devices that aim to reduce injury effects during early phases of SCI, and potentially restore function during the later chronic phase.

“The BG+ program looks to create opportunities to provide novel treatment approaches immediately after injury,” noted Dr. Al Emondi, BG+ program manager. “Systems will consist of active devices performing real-time biomarker monitoring and intervention to stabilize and, where possible, rebuild the neural communications pathways at the site of injury, providing the clinician with previously unavailable diagnostic information for automated or clinician-directed interventions.”