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Researchers from the University of Maine and University of Massachusetts Amherst have designed new liquid-coated air filters that allow for improved early detection and analysis of airborne bacteria and viruses, including the one that causes COVID-19. The team has published their findings in the journal ACS Applied Materials & Interfaces.

While conventional air filters help control the spread of disease in like hospitals and travel hubs, they struggle to keep the pathogens they capture viable for testing. The inefficiency can inhibit scientists’ ability to identify biological threats early on, which could hinder any response and protection measures.

The research team, led by Caitlin Howell, a UMaine associate professor of biomedical engineering, developed a composite membrane with a liquid layer for filters that is better suited for capturing viable bacterial and viral samples for analysis. They modeled the membrane after the Nepenthes pitcher plant, which has a slippery rim and inner walls that cause insects to fall and become trapped within its digestive fluid. By keeping the bacteria and they capture feasible for examination, researchers say their novel liquid-coated air filters can enhance air sampling efforts, early pathogen detection and biosurveillance for national security.

Researchers in the field of optical spectrometry have created a better instrument for measuring light. This advancement could improve everything from smartphone cameras to environmental monitoring.

The research, led by Finland’s Aalto University, developed a powerful, incredibly small spectrometer that fits on a microchip and is run by artificial intelligence. Their research was recently published in the journal Science.

The study used a relatively new class of super-thin materials known as two-dimensional semiconductors, and the result is a proof of concept for a spectrometer that could be easily integrated into a number of technologies such as quality inspection platforms, security sensors, biomedical analyzers, and space telescopes.

Computer scientists at New York University and Michigan State University have trained an artificial neural network to create fake digital fingerprints that can bypass locks on cell phones. The fakes are called “DeepMasterPrints”, and they present a significant security flaw for any device relying on this type of biometric data authentication. After exploiting the weaknesses inherent in the ergonomic needs of cellular devices, DeepMasterPrints were able to imitate over 70% of the fingerprints in a testing database.

An artificial neural network is a type of artificial intelligence comprising computer algorithms modeled after the human brain’s ability to recognize patterns. The DeepMasterPrints system was trained to analyze sets of fingerprint images and generate a new image based on the features that occurred most frequently. This “skeleton key” could then be used to exploit the way cell phones authenticate user fingerprints.

In cell phones, the necessarily small size of fingerprint readers creates a weakness in the way they verify a print. In general, phone sensors only capture a partial image of a print when a user is attempting to unlock the device, and that piece is then compared to the phone’s authorized print image database. Since a partial print means there are fewer characteristics to distinguish it than a full print, a DeepMasterPrint needs to match fewer features to imitate a fingerprint. It’s worth noting that the concept of exploiting this flaw is not unique to this particular study; however, generating unique images rather than using actual or synthesized images is a new development.

Hive Social, a social media platform that has seen meteoric growth since Elon Musk took over Twitter, abruptly shut down its service on Wednesday after a security advisory warned the site was riddled with vulnerabilities that exposed all data stored in user accounts.

“The issues we reported allow any attacker to access all data, including private posts, private messages, shared media and even deleted direct messages,” the advisory, published on Wednesday by Berlin-based security collective Zerforschung, claimed. “This also includes private email addresses and phone numbers entered during login.”

The post went on to say that after the researchers privately reported the vulnerabilities last Saturday, many of the flaws they reported remained unpatched. They headlined their post “Warning: do not use Hive Social.”

Google’s Threat Analysis Group (TAG) has linked an exploit framework that targets now-patched vulnerabilities in the Chrome and Firefox web browsers and the Microsoft Defender security app to a Spanish software company.

While TAG is Google’s team of security experts focused on protecting Google users from state-sponsored attacks, it also keeps track of dozens of companies that enable governments to spy on dissidents, journalists, and political opponents using surveillance tools.

The search giant says the Barcelona-based software firm is one of these commercial surveillance vendors and not just a provider of custom security solutions as it officially claims.

Dr. Svitlana Volkova, Ph.D. (https://www.pnnl.gov/people/svitlana-volkova) is Chief Scientist, Decision Intelligence and Analytics, National Security Directorate, Pacific Northwest National Laboratory (PNNL), which is one of the United States Department of Energy national laboratories, managed by the Department of Energy’s (DOE) Office of Science.

Dr. Volkova is a recognized leader in the field of computational social science and computational linguistics and her scientific contributions and publication profile cover a range of topics on applied machine learning, deep learning, natural language processing, and social media analytics.

Dr. Volkova’s research focuses on understanding, predicting, and explaining human behavior, interactions, and real-world events from open-source social data and her approaches help advance effective decision making and reasoning about extreme volumes of dynamic, multilingual, multimodal, and diverse real-world unstructured data.

Dr. Volkova has a Ph.D. in Computer Science from Johns Hopkins University, Center for Language and Speech Processing, and an M.S. in Computer Science, from Kansas State University.

Someone else posted about this, but this is from LLNL. I love what they do, and Twitter reminded me of the many Photonics shares I have. This is cool, and Ill post more links.

November 7, 2022

A record high-laser-energy NIF target shot on Sept. 19 produced about 1.2 million joules of fusion energy yield. Compared with the groundbreaking 1.35-megajoule (MJ) experiment of Aug. 8, 2021, this experiment used higher laser energy and a modified experimental design.


The NIF and Photon Science Directorate at Lawrence Livermore National Laboratory conducts cutting-edge research in the fields of laser inertial confinement fusion, high energy density physics, and advanced photonics for the advancement of national security, energy security, discovery science, and national competitiveness.

Huawei, ZTE, Hytera Communications Corp., Hikvision, and Dahua have made it to the list.

United States has prohibited selling and importing new Huawei and ZTE telecommunications devices due to “national security concerns.”

The Federal Communications Commission (FCC) approved new regulations that forbade the sale and import of new Huawei and ZTE, according to the documents released by the agency on Friday.

Large-capacity wireless data transmission systems are demanded along with the development of multimedia services, video-based interactions, and cloud computing in the era of big data. Compared with radio-frequency communication systems, free-space optical (FSO) signal transmission technology has the merits of high data rate, great flexibility, less power consumption, high security, and large license-free bandwidths [13], which has been widely applied in terrestrial transmission [4], last mile solutions [5], ground-to-satellite optical communication [6], disaster recovery [7], and so on. To date, up to 10 Gbit/s FSO communication system has been realized for transmission distance over 1,000 km of star-ground or inter-star communications [8], and 208 Gbit/s terrestrial communication is also reported at 55 m transmission distance [9]. Wavelength-division multiplexing (WDM) technology is commonly employed to improve data transmission capacity in fiber communication systems, which would be more effective in FSO communication systems benefitting from very weak non-linear cross talk between different frequency channels in free space. Based on a simulation platform, a WDM FSO communication system could boost the signal transmission capacity to 1.28 Tbit/s by modulating 32 optical channels with dual-polarization 16 quadrature amplitude modulation signals [10]. To date, beyond 10 Tbit/s FSO communication systems have been experimentally demonstrated recently using WDM technology [11,12]. However, a WDM communication system becomes power-hungry and bulky with the increase of transmission channels while traditional distributed feedback lasers are used as optical carriers. In addition, more rigorous requirement is imposed on the frequency tolerance of carrier lasers to avoid channel overlap with the decrease of channel frequency interval.

The invention of microresonator-based optical frequency combs provides novel integrated optical laser sources with the natural characteristic of equi-spaced frequency intervals which can overcome the challenge of massive parallel carrier generation [13 19]. In particular, the spontaneously organized solitons in continuous-wave (CW)-driven microresonators provide a route to low-noise ultra-short pulses with a repetition rate from 10 GHz to beyond terahertz. Soliton microcombs (SMCs) are typical stable laser sources where the double balances of non-linearity and dispersion as well as dissipation and gain are reached in microcavities. Meanwhile, the linewidth of the comb lines is similar with the pump laser, which enables low power consumption and costs multiwavelength narrow-linewidth carriers for a wide range of applications. Through designing the scale of microresonators, the repetition rate of SMCs could be compatible with dense wavelength-division multiplexing (DWDM) communication standard. To date, several experiments have demonstrated the potential capacity for ultra-high-speed fiber communication systems using SMCs as multiwavelength laser sources [20 30]. For instance, a coherent fiber communication system has improved the transmission capacity up to 55 Tbit/s using single bright SMCs as optical carriers and a local oscillator [20]. And dark solitons and soliton crystals are also employed as multiwavelength laser sources for WDM communication systems [27 30]. However, few studies have carried out massive parallel FSO communication systems using the integrated SMCs as laser sources.

In this paper, we experimentally demonstrate a massive parallel FSO communication system using an SMC as a multiple optical carrier generator. 102 comb lines are modulated by 10 Gbit/s differential phase shift keying (DPSK) signals to boost the FSO transmission rate up to beyond 1 Tbit/s. The transmitter and receiver terminals are installed in two buildings at a distance of ∼1 km, respectively. Using a CW laser as reference, the influence of optical signal-to-noise ratios (OSNRs) on the bit error rate (BER) performance is experimentally analyzed. Our results show an effective solution for large-capacity spatial signal transmission using an integrated SMC source which has potential applications in future satellite-to-ground communication systems.