By 2050, two-thirds of us wil be living in cities, so architects are taking inspiration from nature to build more sustainable skylines.
How Eyes Evolved to See the World Differently
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Tomasz Skwarnicki, professor of physics in the College of Arts and Sciences at Syracuse University, has uncovered new information about a class of particles called pentaquarks. His findings could lead to a new understanding of the structure of matter in the universe.
Assisted by Liming Zhang, an associate professor at Tsinghua University in Beijing, Skwarnicki has analyzed data from the Large Hadron Collider beauty (LHCb) experiment at CERN’s Large Hadron Collider (LHC) in Switzerland. The experimental physicist has uncovered evidence of three never-before-seen pentaquarks, each divided into two parts.
“Until now, we had thought that a pentaquark was made up of five elementary particles [called quarks], stuck together. Our findings prove otherwise,” says Skwarnicki, a Fellow of the American Physical Society.
SpaceX has silently published the first known detailed render of its new stainless steel Starship’s design on the cover of Popular Mechanic’s April 2019 issue, showing the next-generation orbital spacecraft reentering Earth’s atmosphere in a blaze of glowing metal and plasma.
Despite the fact that the render seems to only be available in print and then only through one particular news outlet, Teslarati has acquired a partial-resolution copy of the image to share the latest official glimpse of SpaceX’s Starship with those who lack the means, access, or interest to purchase a magazine. Matters of accessibility aside, SpaceX’s updated render offers a spectacular view of Starship’s exotic metallic heat shield in action, superheating the atmosphere around it to form a veil of plasma around the spacecraft’s hull. According to CEO Elon Musk, the hottest parts of Starship’s skin will be reinforced with hexagonal tiles of steel and transpiration cooling, a largely unproven technology that SpaceX is already in the process of testing.
It is our common responsibility and interest to disseminate openly and honestly not only our success but also our failures. Together, we can realize our dreams for numerous robotic applications and devise a realistic plan to develop them.
The problem, as Giulio Sandini put it, occurs when one sells (or buys) intentions as results. Overselling is a dangerous strategy that can be counterproductive, even for the whole robotics community. Both companies and researchers publish videos of robots doing tasks, but sometimes they fail to point out the limitations of the technology or that those results were achieved in lab conditions. This makes it much more difficult to explain to non-roboticist industry executives the difference between creating a one-off demo and creating a real product that works reliably.
Deep learning, for example, is at the forefront of the AI revolution, but it is too often viewed as the magic train carrying us into the world of technological wonders. AI researchers are warning about overexcitement and that the next AI winter is coming.
Asus’ software update system was hacked and used to distribute malware to about 1 million Windows computers, according to the cybersecurity firm Kaspersky Lab. The malware was disguised as a “critical” software update, distributed from Asus’ servers, and signed using a real Asus certificate that made it appear to be valid. Details of the hack were first revealed by Motherboard, and Kaspersky plans to release more details at an upcoming conference.
It’s not clear what the hackers were after. However, the hackers did seem to target specific Asus customers: the malware included special instructions for 600 systems, to be identified by specific MAC addresses. Once one of those systems was detected, the update would then install more malicious programs to further compromise the system.
Kaspersky named the attack “ShadowHammer.” This kind of targeting is often associated with espionage attacks by nation states, most notably Stuxnet, which spread widely but did little to no harm on most infected systems.
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A source familiar with Russia’s aerospace industry recently informed state newspaper RIA Novosti that NASA has provided Russian space agency Roscosmos with an updated planning schedule for International Space Station (ISS) operations, including a preliminary target for SpaceX’s first Crew Dragon launch with astronauts aboard.
According to RIA’s source, NASA informed Roscosmos that the agency was tentatively planning for the launch of SpaceX’s Demonstration Mission 2 (DM-2) as early as July 25th, with the spacecraft departing the ISS, reentering the atmosphere, and safely returning astronauts Bob Behnken and Doug Hurley to Earth on August 5th. In a bizarre turn of events, Russian news agency TASS published a separate article barely 12 hours later, in which – once again – an anonymous space agency source told the outlet that “the [DM-2] launch of Crew Dragon is likely to be postponed to November”. For the time being, the reality likely stands somewhere in the middle.
Deep Science AI made its debut on stage at Disrupt NY 2017, showing in a live demo how its computer vision system could spot a gun or mask in CCTV footage, potentially alerting a store or security provider to an imminent crime. The company has now been acquired in a friendly merger with Defendry, which is looking to deploy the tech more widely.
It’s a great example of a tech-focused company looking to get into the market, and a market-focused company looking for the right tech.
The idea was that if you have a chain of 20 stores, and 3 cameras at each store, and people can only reliably keep an eye on 8–10 feeds at a time, you’re looking at a significant personnel investment just to make sure those cameras aren’t pointless. If instead you used Deep Science AI’s middle layer that highlighted shady situations like guns drawn, one person could conceivably keep an eye on hundreds of feeds. It was a good pitch, though they didn’t take the cup that year.
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A new method allows the quantum state of atomic “qubits”—the basic unit of information in quantum computers—to be measured with twenty times less error than was previously possible, without losing any atoms. Accurately measuring qubit states, which are analogous to the one or zero states of bits in traditional computing, is a vital step in the development of quantum computers. A paper describing the method by researchers at Penn State appears March 25, 2019 in the journal Nature Physics.
“We are working to develop a quantum computer that uses a three-dimensional array of laser-cooled and trapped cesium atoms as qubits,” said David Weiss, professor of physics at Penn State and the leader of the research team. “Because of how quantum mechanics works, the atomic qubits can exist in a ‘superposition’ of two states, which means they can be, in a sense, in both states simultaneously. To read out the result of a quantum computation, it is necessary to perform a measurement on each atom. Each measurement finds each atom in only one of its two possible states. The relative probability of the two results depends on the superposition state before the measurement.”
To measure qubit states, the team first uses lasers to cool and trap about 160 atoms in a three-dimensional lattice with X, Y, and Z axes. Initially, the lasers trap all of the atoms identically, regardless of their quantum state. The researchers then rotate the polarization of one of the laser beams that creates the X lattice, which spatially shifts atoms in one qubit state to the left and atoms in the other qubit state to the right. If an atom starts in a superposition of the two qubit states, it ends up in a superposition of having moved to the left and having moved to the right. They then switch to an X lattice with a smaller lattice spacing, which tightly traps the atoms in their new superposition of shifted positions. When light is then scattered from each atom to observe where it is, each atom is either found shifted left or shifted right, with a probability that depends on its initial state.
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Canada’s billionaire power couple, Gerald Schwartz and Heather Reisman, have donated C$100 million ($75 million) to the University of Toronto for an artificial intelligence complex.
The gift, from the duo behind private-equity firm Onex Corp. and Indigo Books & Music Inc., is the largest in the university’s history and biggest for Canada’s technology sector, said the academic institution. It will be used to build the Schwartz Reisman Innovation Centre starting this year.
“You’ve seen companies like Uber and Google and so many others starting to make real commitments to Toronto, and this is drawing people from around the world to come to Toronto to be part of this,” Schwartz, Onex’s founder and chief executive officer, said in an interview at Indigo’s headquarters in the city. “That legacy is going to last for a long time.”
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Aside from harvesting solar, wind, and hydrogen energy to produce electricity, many energy experts believe that developing compact fusion facilities can give humankind a stable and sustainable source of power that can last forever.
Jon Menard, a physicist from the U.S. Department of Energy’s Princeton Plasma Physics Laboratory (PPPL), has reportedly examined the possibility of expediting the development of compact fusion facilities to generate safe, clean, and limitless energy.
In his study, Menard looked into the concept of creating a compact tokamak powered by high-temperature superconducting magnets.
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