Scientists reassemble a frog’s living cells into robotic devices — with no electronics required.
Category: robotics/AI – Page 1,814
That is partly because AI businesses are not consumer-facing. Because they are mostly providers of back end hardware and software to other businesses, or, more critically, to governments, AI business will not become giant platform companies servicing billions of users.
Nina Xiang is the founder of China Money Network, a media platform tracking China’s venture and tech sectors.
In 10 years no one will remember the names of China’s artificial intelligence unicorns. While many aspects of the coming AI revolution remain unpredictable, one thing is clear: no AI company will emerge as a Big Tech brand.
While the internet era of the 2000s, and the mobile internet era of the 2010s, created the Chinese tech giants of today, such as Baidu, Alibaba Group Holding, and Tencent Holdings, collectively referred to as BAT, as well as Toutiao, Meituan, Didi-Chuxing, together known as TMD, the AI era is unlikely to produce anything like that by comparison — even if overly zealous investors have nursed over a dozen AI unicorns in China worth tens of billions in total.
Boston Dynamics Atlas robot.
Hyundai Motor will acquire Boston Dynamics. The acquisition will be finalized at Hyundai’s December 10 board meeting. News about the deal was first reported by The Korea Economic Daily, which said the deal is for $921 million (1 trillion won). The Robot Report has also confirmed the news with a source familiar with the deal. The source said the acquisition is for about $1 billion.
The Robot Report has reached out to Boston Dynamics but has yet to hear back. We will provide updates as more information becomes available.
At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. As demand for this type of tool has increased this year, in spite of the pandemic, the startup announced a $15 million Series A today.
The investment was led by Index Ventures with help from newcomers Acrew and Plexo Capital, along with previous investors Homebrew, AME Ventures and Work-Bench. The round comes almost exactly a year after its $3.3 million seed round.
As CEO and co-founder Adam Wenchel explains, data scientists build and test machine learning models in the lab under ideal conditions, but as these models are put into production, the performance can begin to deteriorate under real-world scrutiny. Arthur.ai is designed to root out when that happens.
Leveraging structure in data is key to making progress in AI, says AI prodigy Gary Marcus. A forward-looking view on Software 2.0, AI chips, robotics, and the future of AI.
Today we are going to discuss the topic drug enforcement from a very interesting technological angle.
Brian Drake, is the Director of Artificial Intelligence for the Defense Intelligence Agency’s (DIA) Directorate of Science and Technology. Mr. Drake works with the DIA’s Future Capabilities and Innovation Office, and he also leads an initiative to test the effectiveness of different applications of artificial intelligence at solving various mission problems, including using AI to combat the opioid crisis with a DIA program known as SABLE SPEAR.
Previous to this role Brian was a Senior Intelligence Analyst and Branch Chief in the DIA’s Americas and Transregional Threats Center (ATTC) and prior to joining ATTC, Mr. Drake was a Management Analyst with DIA’s Chief of Staff.
For DIA’s intelligence analysis mission, he has worked worldwide targets in narcotics, emerging and disruptive technologies, and weapons of mass destruction.
Mr. Drake was stationed in the Pentagon as an Intelligence Briefer in the Executive Support Office, served on the Information Review Task Force, and has led several interagency technical and counterterrorism intelligence teams.
Prior to his time in DIA, Mr. Drake was a management consultant at Deloitte and Toffler Associates where he served commercial clients in various industries and government clients at the ODNI, FBI, CIA, NSA, and the US State Department.
Future EDF research topics will be specified in annual calls run by the European Commission, the EU executive branch, and approved by a committee of national delegates. AI will be a big topic, Ripoche says. He says EDF funding will also go to new materials, such as discreet metamaterial antennas that can be engineered into the surfaces of vehicles and weapons. Muravska says she expects “a healthy take-up” in the EDF by European academic researchers, “provided they are aware of it.”
With no military of its own, European Union funds work on camouflage, drones, and laser weapons.
Handle: The Logistics Robot
Posted in futurism, robotics/AI
So Boston Dynamics has possibly created the robo warehouse worker of the future. 🙂
Boston Dynamics’ Handle could be the warehouse worker of the future 🤖 📦.
Neural networks are some of the most important tools in artificial intelligence (AI): they mimic the operation of the human brain and can reliably recognize texts, language and images, to name but a few. So far, they run on traditional processors in the form of adaptive software, but experts are working on an alternative concept, the ‘neuromorphic computer.’ In this case, the brain’s switching points—the neurons—are not simulated by software but reconstructed in hardware components. A team of researchers at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) has now demonstrated a new approach to such hardware—targeted magnetic waves that are generated and divided in micrometer-sized wafers. Looking to the future, this could mean that optimization tasks and pattern recognition could be completed faster and more energy efficiently. The researchers have presented their results in the journal Physical Review Letters.
The team based its investigations on a tiny disc of the magnetic material iron nickel, with a diameter just a few micrometers wide. A gold ring is placed around this disc: When an alternating current in the gigahertz range flows through it, it emits microwaves that excite so-called spin waves in the disc. “The electrons in the iron nickel exhibit a spin, a sort of whirling on the spot rather like a spinning top,” Helmut Schultheiß, head of the Emmy Noether Group “Magnonics” at HZDR, explains. “We use the microwave impulses to throw the electron top slightly off course.” The electrons then pass on this disturbance to their respective neighbors—which causes a spin wave to shoot through the material. Information can be transported highly efficiently in this way without having to move the electrons themselves, which is what occurs in today’s computer chips.
Back in 2019, the Schultheiß group discovered something remarkable: under certain circumstances, the spin wave generated in the magnetic vortex can be split into two waves, each with a reduced frequency. “So-called non-linear effects are responsible for this,” explains Schultheiß’s colleague Lukas Körber. “They are only activated when the irradiated microwave power crosses a certain threshold.” Such behavior suggests spin waves as promising candidates for artificial neurons because there is an amazing parallel with the workings of the brain: these neurons also only fire when a certain stimulus threshold has been crossed.
Researchers at Oregon State University are making key advances with a new type of optical sensor that more closely mimics the human eye’s ability to perceive changes in its visual field.
The sensor is a major breakthrough for fields such as image recognition, robotics and artificial intelligence. Findings by OSU College of Engineering researcher John Labram and graduate student Cinthya Trujillo Herrera were published today in Applied Physics Letters.
Previous attempts to build a human-eye type of device, called a retinomorphic sensor, have relied on software or complex hardware, said Labram, assistant professor of electrical engineering and computer science. But the new sensor’s operation is part of its fundamental design, using ultrathin layers of perovskite semiconductors—widely studied in recent years for their solar energy potential—that change from strong electrical insulators to strong conductors when placed in light.