Researchers at Tel Aviv University caught 'liars' at an unprecedented accuracy of 73% by measuring the movements of facial muscles.
- Electrical Engineering
Researchers at Tel Aviv University detected 73% of the lies told by trial participants based on the contraction of their facial muscles – achieving a higher rate of detection than any known method. The study identified two different groups of 'liars': those who activate their cheek muscles when they lie, and those who activate their eyebrows. According to the researchers, the technology has great potential for detecting deception in real-life contexts, such as security and crime.
The study was conducted by a team of experts from Tel Aviv University headed by Prof. Yael Hanein of the Center of Nanoscience and Nanotechnology and School of Electrical Engineering, Iby and Aladar Fleischman Faculty of Engineering, and Prof. Dino Levy from the Coller School of Management. The team included Dr. Anastasia Shuster, Dr. Lilach Inzelberg, Dr. Uri Ossmy and PhD candidate Liz Izakon. The paper was published in the leading journal Brain and Behavior.
The new study was founded upon a groundbreaking innovation from Prof. Hanein's laboratory: stickers printed on soft surfaces containing electrodes that monitor and measure the activity of muscles and nerves. The technology, already commercialized by X-trodes Ltd., has many applications, such as monitoring sleep at home and early diagnosis of neurological diseases. This time the researchers chose to explore its effectiveness in a different arena – lie detection.
Prof. Levy explains: "Many studies have shown that it's almost impossible for us to tell when someone is lying to us. Even experts, such as police interrogators, do only a little better than the rest of us. Existing lie detectors are so unreliable that their results are not admissible as evidence in courts of law – because just about anyone can learn how to control their pulse and deceive the machine. Consequently, there is a great need for a more accurate deception-identifying technology. Our study is based on the assumption that facial muscles contort when we lie, and that so far no electrodes have been sensitive enough to measure these contortions."
The researchers attached the novel stickers with their special electrodes to two groups of facial muscles: the cheek muscles close to the lips, and the muscles over the eyebrows. Participants were asked to sit in pairs facing one another, with one wearing headphones through which the words 'line' or 'tree' were transmitted. When the wearer heard 'line' but said 'tree' or vice versa he was obviously lying, and his partner's task was to try and detect the lie. Then the two subjects switched roles.
As expected, participants were unable to detect their partners' lies with any statistical significance. However, the electrical signals delivered by the electrodes attached to their face identified the lies at an unprecedented success rate of 73%.
Prof. Levy: "Since this was an initial study, the lie itself was very simple. Usually when we lie in real life, we tell a longer tale which includes both deceptive and truthful components. In our study we had the advantage of knowing what the participants heard through the headsets, and therefore also knowing when they were lying. Thus, using advanced machine learning techniques, we trained our program to identify lies based on EMG (electromyography) signals coming from the electrodes. Applying this method, we achieved an accuracy of 73% - not perfect, but much better than any existing technology. Another interesting discovery was that people lie through different facial muscles: some lie with their cheek muscles and others with their eyebrows."
The researchers believe that their results can have dramatic implications in many spheres of our lives. In the future, the electrodes may become redundant, with video software trained to identify lies based on the actual movements of facial muscles. Prof. Levy predicts: "In the bank, in police interrogations, at the airport, or in online job interviews, high-resolution cameras trained to identify movements of facial muscles will be able to tell truthful statements from lies. Right now, our team's task is to complete the experimental stage, train our algorithms and do away with the electrodes. Once the technology has been perfected, we expect it to have numerous, highly diverse applications."
Researchers from The Faculty of Engineering, TAU University, the Technion and MIT shed new light on quantum mechanics
- Academy & Industry
- Electrical Engineering
A new series of studies led by researchers from Tel Aviv University, the Technion and MIT has found that some properties of light waves emitted from particles depend on the wave properties of the emitting particles. In other words: quantum mechanics influence the process of light emission. The studies were led by Prof. Ady Arie, Incumbent of the Marko and Lucie Chaoul Chair in Nano-Photonics at Tel Aviv University and Prof. Ido Kaminer from the Technion's Faculty of Electrical and Computer Engineering. The researchers demonstrated how light waves change, depending on the quantum properties of the particles emitting them, and that this light emission can be interpreted as the manifestation of a counter-intuitive quantum phenomenon: the collapse of the wavefunction. A direct connection was found between light emission and quantum entanglement – the property at the core of quantum encryption and computation technologies.
The researchers explain: "Imagine that you are looking at a water wave striking a breakwater with two slits, so that two new waves, each emerging from one of the slits, are formed at the other side. Looking closely at the new waves you will notice that at some points they are higher than the original wave– while in other places they are lower. This phenomenon is called wave interference: the two waves add up at certain points and cancel each other at other points. Now, imagine tennis balls thrown at a wall with two slits. Clearly, some of the balls will go through one slit, and some through the other. But the balls will not add up or cancel each other, like waves do.
In contrast, quantum mechanics – the theory describing the properties of tiny particles – claims that such particles can sometimes behave like waves. If we perform the two-slit experiment with quantum particles, we will see that the quantum particle is capable of passing through both slits in the wall simultaneously. In this experiment, we will observe an interference pattern consisting of alternating strips: bright strips where the particles have hit the screen, and dark strips where they did not. The brightness of these lines is very similar to the height of the water waves after hitting the two-slit breakwater. However, there is a substantial difference between the water waves and the particle waves of quantum mechanics. If we try to watch one of the slits through which the quantum particle passes, the stripe pattern on the screen will vanish. By merely watching the particle's location in one of the slits we ensure that it will actually pass through this slit: suddenly, the quantum particle behaves like the tennis ball. This strange phenomenon goes by the name of "the wavefunction collapse".
the two-slit experiment with a quantum particle.
Despite our tremendous advancement in understanding quantum mechanics, we still find alleged contradictions between this theory and classical physics. For example, in classical physics it is possible to determine the trajectory and velocity of a light-emitting particle and from these data predict the characteristics of the emitted light. In contrast, in quantum mechanics it is impossible to determine both the position and velocity of a particle simultaneously (this is the famous Heisenberg's uncertainty principle). In addition, quantum particles have wave properties, which change when the particles are being 'watched' (the wave function collapse).
A series of studies led by researchers from Tel Aviv University, the Technion and MIT has demonstrated how these properties of quantum mechanics affect the way particles emit light. The researchers demonstrated that many phenomena related to light emission, which have been explain in the same manner for the past century, can actually behave very differently than expected. This is due to the influence of the quantum nature of the particles on the light emitted from them.
In their first study in 2019, the researchers tried to measure the interference of light waves emitted from an electron beam (quantum subatomic particles that carry electric charges). The study, co-led by Dr. Roei Remez and PhD student Aviv Karnieli from the labs of Prof. Ady Arie at Tel Aviv University, and Prof. Ido Kaminer at the Technion, was published in the prestigious journal Physical Review Letters. Dr. Sivan Trajtenberg-Mills, Master's student Niv Shapira and Dr. Yossi Lereah from Tel Aviv University also participated in the study. In their experiment, the researchers showed that the expected interference of the emitted light is not observed. Using quantum mechanics to describe their results, they found that it predicts an effect very similar to the wavefunction collapse. At the moment of light emission, the electron's wavefunction collapses to a specific point in space, as if someone was 'watching' the electron at that exact position. Therefore, the light is no longer emitted from different points simultaneously, and the interference of the light waves disappears.
Light emission in quantum physics (right) vs. classical physics. Under certain conditions, the shockwave does not form in the quantum case.
A follow-up study recently published in the prestigious journal Science Advances showed that the interference capability of light waves in time, which is responsible for the generation of very short and intense light waves (pulses), can also disappear due to Heisenberg's uncertainty principle. The new study, led by PhD student Aviv Karnieli from the labs of Prof. Arie and Prof. Kaminer, was conducted in collaboration with PhD student Nicholas Rivera from MIT, USA. The researchers demonstrated theoretically the disappearance of light interference using another effect, called Cherenkov radiation – usually explained by using an analogy to jet planes surpassing the speed of sound in air and creating a 'sonic boom', also known as a shockwave. Similarly, in the Cherenkov effect, a particle exceeding the speed of light inside a transparent material should create a shockwave - an 'optic boom'. The researchers' surprising new discovery indicates, however, that Cherenkov radiation is not a shockwave after all – unlike the way it has been perceived by scientists since its discovery in 1934. The analogy between the jet plane and the quantum particle is incorrect: only under certain conditions – depending on the uncertainty properties of the quantum particle emitting the light – would the radiation create a shockwave.
Left to right: Dr. Roei Remez, Aviv Karnieli, Prof. Ady Arie, Nicholas Rivera and Prof. Ido Kaminer
Finally, in another study also published recently in Physical Review Letters, led by Aviv Karnieli, Prof. Arie, Prof. Kaminer and Nicholas Rivera, the researchers were able to demonstrate that when light is emitted simultaneously from two electrons, the quantum properties of the electrons can dramatically affect the emitted light. For example, two paired electrons that are 'quantum-entangled' – namely, possessing a probabilistic quantum relation between them, which is at the heart of quantum technologies such as quantum cryptography and computing – will, under certain circumstances, emit light waves simultaneously, generating an interference pattern that is directly dependent on how the electrons are entangled. In this manner, claim the researchers, observing the light emitted from entangled particles could indicate the amount of entanglement between them, without the need to measure them directly. This possibility may prove important for future uses of electrons as carriers of quantum information.
Loving the problem is the greatest way to invent
The Research Conducted by Tel Aviv University and Berkeley Universities
- Mechanical Engineering
A new study by Tau and University of California, Berkeley proposes a model according to which the establishment of seaweed farms in river estuaries significantly reduces nitrogen concentrations in the estuary and prevents pollution in estuarine and marine environments. The study was headed by doctoral student Meiron Zollmann, under the joint supervision of Prof. Alexander Golberg of the Porter School of Environmental and Earth Sciences and Prof. Alexander Liberzon of the School of Mechanical Engineering at the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. The study was conducted in collaboration with Prof. Boris Rubinsky of the Faculty of Mechanical Engineering at UC Berkeley. The study was published in the prestigious journal Communications Biology.
As part of the study, the researchers built a large seaweed farm model for growing the ulva sp. green macroalgae in the Alexander River estuary, hundreds of meters from the open sea. The Alexander River was chosen because the river discharges polluting nitrogen from nearby upstream fields and towns into the Mediterranean Sea. Data for the model were collected over two years from controlled cultivation studies.
Researchers explain that nitrogen is a necessary fertilizer for agriculture, but it comes with an environmental price tag. Once nitrogen reaches the ocean, it disperses randomly, damaging various ecosystems. As a result, the state local authorities spend a great deal of money on reducing nitrogen concentrations in water, following national and international conventions that limit nitrogen loading in the oceans, including in the Mediterranean Sea.
"My laboratory researches basic processes and develops technologies for aquaculture," explains Prof. Golberg. "We are developing technologies for growing seaweed in the ocean in order to offset carbon and extract various substances , such as proteins and starches, to offer a marine alternative to terrestrial agricultural production. In this study, we showed that if seaweed is grown according to the model we developed, in rivers’ estuaries, they can absorb the nitrogen to conform to environmental standards and prevent its dispersal in water and thus neutralize environmental pollution. In this way, we actually produce a kind of "natural decontamination facility" with significant ecological and economic value since seaweed can be sold as biomass for human use.
The researchers add that the mathematical model predicts farm yields and links seaweed yield and chemical composition to nitrogen concentration in the estuary. "Our model allows marine farmers, as well as government and environmental bodies, to know, in advance, what the impact will be and what the products of a large seaweed farm will be – before setting up the actual farm," adds Meiron Zollmann. "Thanks to mathematics, we know how to make the adjustments also concerning large agricultural farms and maximize environmental benefits, including producing the agriculturally desired protein quantities."
"It is important to understand that the whole world is moving towards green energy, and seaweed can be a significant source," adds Prof. Liberzon, "and yet today, there is no single farm with the proven technological and scientific capability. The barriers here are also scientific: We do not really know what the impact of a huge farm will be on the marine environment. It is like transitioning from a vegetable garden outside the house to endless fields of industrial farming. Our model provides some of the answers, hoping to convince decision-makers that such farms will be profitable and environmentally friendly. Furthermore, one can imagine even more far-reaching scenarios. For example, green energy: "If we knew how to utilize the growth rates for energy in better percentages, it would be possible to embark on a one-year cruise with a kilogram of seaweed, with no additional fuel beyond the production of biomass in a marine environment."
"The interesting connection we offer here is growing seaweed at the expense of nitrogen treatment," concludes Prof. Golberg. "In fact, we have developed a planning tool for setting up seaweed farms in estuaries to address both environmental problems while producing economic benefit. We offer the design of seaweed farms in river estuaries containing large quantities of agriculturally related nitrogen residues to rehabilitate the estuary and prevent nitrogen from reaching the ocean while growing the seaweed itself for food. In this way, aquaculture complements terrestrial agriculture."
Loving the problem is the greatest way to invent
Researchers from the Department of Biomedical Engineering have been able to predict both the type of cancer and patients' survival probability based on silent mutations in cancer genomes – a proof of concept that may well save lives in the future.
- Biomedical Engineering
Researchers from the Department of Biomedical Engineering and the Zimin Institute for Engineering Solutions Advancing Better Lives at Tel Aviv University have been able to predict both the type of cancer and patients' survival probability based on silent mutations in cancer genomes – a proof of concept that may well save lives in the future. The results of the groundbreaking study, led by Prof. Tamir Tuller and research student Tal Gutman, were published in NPJ Genomic Medicine.
Silent mutations are defined as mutations that don't change the sequence of amino acids in proteins. In recent years it has been shown that silent mutations, both in and out of the cell's genetic coding region, can affect gene expression, and may be associated with the development and spread of cancer cells. However, the question of whether silent mutations can help identify cancer types or predict patients' chances of survival has never before been investigated with quantitative tools.
In the current study, based on about three million mutations from cancer genomes of 9,915 patients, the researchers attempted to identify the type of cancer and predict survival probability 10 years after the initial diagnosis – on the basis of silent mutations alone. They found that the predictive power of silent mutations is often similar to that of 'ordinary', non-silent mutations. In addition, they discovered that by combining information from silent and non-silent mutations classification could be improved for 68% of the cancer types, and best survival estimations could be obtained up to nine years after diagnosis. In some types of cancer classification was improved by up to 17%, while prognosis was improved by up to 5%.
"Our genome, like the genome of all other living things, contains mutations that can change the sequence of amino acids in the coded proteins," explains Prof. Tuller. "Since these proteins are responsible for the various cell mechanisms, such mutations are involved in turning healthy cells into cancer cells. Other mutations, which don't affect the amino acids, have been called 'silent' and ignored for many years. In our study, about 10,000 cancer genomes of every type were analyzed, demonstrating for the first time that silent mutations do have diagnostic value – for identifying the type of cancer, as well as prognostic value – for predicting how long the patient is likely to survive."
According to Prof. Tuller, the cell's genetic material holds two types of information: first, the sequence of amino acids to be produced, and second, when and how much to produce of each protein – namely regulation of the production process. "Even if they don’t change the structure of the protein, silent mutations can influence the process of protein production (gene expression), which is just as important. If a cell produces much smaller quantities of a certain protein – it's almost as though the protein has been eliminated altogether. Another important aspect, which can also be affected by silent mutations, is the protein's 3D folding, which impacts its functions: Proteins are long molecules usually consisting of many hundreds of amino acids, and their folding process begins when they are produced in the ribosome. Folding can be affected by the rate at which the protein is produced, which may in turn be affected by silent mutations. Also, in some cases, silent mutations can impact a process called splicing, in which pieces of the genetic material are cut and rearranged to create the final sequence in the protein. In short, it appears that silent mutations can actually make a lot of noise, and in this study we were able to quantify their impact for the first time."
To test their hypothesis and quantify the effect of the silent mutations, Prof. Tuller and his colleagues used public genetic information about cancer genomes from the NIH in the USA. Applying machine learning techniques to this data, the researchers obtained predictions of the type of cancer and prognoses for patients' survival – based on silent mutations alone. Then they compared their results with real data from the database.
"The results of our study have several important implications," says Prof. Tuller. "First of all, there is no doubt that by using silent mutations we can improve existing diagnostic and prognostic models. It should be noted that even a 17% improvement is very significant, because there are real people behind these numbers – sometimes even ourselves or our loved ones. Doctors discovering metastases want to know where they came from and how the disease has developed, in order to prescribe the best treatment. If, hypothetically, instead of giving wrong diagnoses and prognostics to five of ten cancer patients, they only make mistakes in four out of ten cases, millions of lives may ultimately be saved. In addition, our results indicate that in many cases silent mutations can by themselves provide predictive power that is similar to that of non-silent mutations. These results are especially significant for a range of technologies currently under development, striving to diagnose cancer types based on DNA from malignant sources identified in simple blood tests. Since most of our DNA does not code for proteins, we may assume that most cancer DNA obtained from blood samples will contain silent mutations."
The new study has implications for all areas of oncological research and treatment. Following this proof of concept, the researchers intend to establish a startup with Sanara Ventures, focusing on silent mutations as a diagnostic and prognostic tool.
Loving the problem is the greatest way to invent
Applying processes of nanotechnology, the researchers were able to turn transparent calcite into artificial gold that can be used in thermotherapy for various types of cancer.
- Electrical Engineering
Breakthrough in metamaterials: for the first time in the world, researchers at Tel Aviv University developed an innovative nanotechnology that transforms a transparent calcite nanoparticle into a sparkling gold-like particle. In other words, they turned the transparent particle into a particle that is visible despite its very small dimensions. According to the researchers the new material can serve as a platform for innovative cancer treatments.
In a new paper published in Advanced Materials, an international team of scientists, coordinated by Dr. Roman Noskov and Prof. Pavel Ginzburg from the Faculty of Engineering at Tel Aviv University, Prof. Dmitry Gorin from the Center for Photonics and Quantum Materials at the Skolkovo Institute of Science and Technology (Skoltech) and Dr. Evgeny Shirshin from M.V. Lomonosov Moscow State University, has introduced the concept of biofriendly delivery of optical resonances via a mesoscopic metamaterial, a material with properties that are not found in nature. This approach opens promising prospects for multifunctionality in biomedical systems, allowing the use of a single designer-made nanoparticle for sensing, photothermal therapy, photoacoustic tomography, bioimaging, and targeted drug delivery.
“This concept is the result of cross-disciplinary thinking at the interface between the physics of metamaterials and bioorganic chemistry, aiming to meet the needs of nanomedicine. We were able to create a mesoscopic submicron metamaterial from biocompatible components that demonstrates strong Mie resonances covering the near-infrared spectral window in which biological tissues are transparent,” says Dr. Roman Noskov.
The nanostructures capable of nanoscale light localization as well as performing several functions are highly desirable in a plethora of biomedical applications. However, biocompatibility is typically a problem, as engineering of optical properties often calls for using toxic compounds and chemicals. The researchers have resolved this issue by employing gold nanoseeds and porous vaterite (calcium carbonate) spherulites, currently considered promising drug-delivery vehicles. This approach involves controllable infusion of gold nanoseeds into a vaterite scaffold resulting in a mesoscopic metamaterial – golden vaterite – whose resonance properties can be widely tuned by changing the quantity of gold inside the vaterite. Additionally, high payload capacity of vaterite spherulites allows simultaneous loading of both drugs and fluorescent tags. To exemplify the performance of their system, the researchers demonstrated efficient laser heating of golden vaterite at red and near‐infrared wavelengths, highly desirable in photothermal therapy, and photoacoustic tomography.
Prof. Pavel Ginzburg summarizes: “This novel platform enables the accommodation of multiple functionalities – as simple add-ons that can be introduced almost on demand. Alongside optical imaging and thermotherapy, MRI visibility, functional biomedical materials and many other modalities can be introduced within a miniature nano-scale particle. I believe that our collaborative efforts will lead to in-vivo demonstrations, which will pave the way for a new biomedical technology.”
Researchers have developed a sensor that can be implanted anywhere in the body, for example under the tip of a severed finger; the sensor connects to another nerve that functions properly and restores tactile sensation to the injured nerve.
Tel Aviv University's new and groundbreaking technology inspires hope among people who have lost their sense of touch in the nerves of a limb following amputation or injury. The technology involves a tiny sensor that is implanted in the nerve of the injured limb, for example in the finger, and is connected directly to a healthy nerve. Each time the limb touches an object, the sensor is activated and conducts an electric current to the functioning nerve, which recreates the feeling of touch. The researchers emphasize that this is a tested and safe technology that is suited to the human body and could be implanted anywhere inside of it once clinical trials will be done.
The technology was developed under the leadership of a team of experts from Tel Aviv University: Dr. Ben M. Maoz, Iftach Shlomy, Shay Divald, and Dr. Yael Leichtmann-Bardoogo from the Department of Biomedical Engineering, Fleischman Faculty of Engineering, in collaboration with Keshet Tadmor from the Sagol School of Neuroscience and Dr. Amir Arami from the Sackler School of Medicine and the Microsurgery Unit in the Department of Hand Surgery at Sheba Medical Center. The study was published in the prestigious journal ACS Nano.
The researchers say that this unique project began with a meeting between the two Tel Aviv University colleagues – biomedical engineer Dr. Maoz and surgeon Dr. Arami. “We were talking about the challenges we face in our work,” says Dr. Maoz, “and Dr. Arami shared with me the difficulty he experiences in treating people who have lost tactile sensation in one organ or another as a result of injury. It should be understood that this loss of sensation can result from a very wide range of injuries, from minor wounds – like someone chopping a salad and accidentally cutting himself with the knife – to very serious injuries. Even if the wound can be healed and the injured nerve can be sutured, in many cases the sense of touch remains damaged. We decided to tackle this challenge together, and find a solution that will restore tactile sensation to those who have lost it.”
In recent years, the field of neural prostheses has made promising developments to improve the lives of those who have lost sensation in their limbs by implanting sensors in place of the damaged nerves. But the existing technology has a number of significant drawbacks, such as complex manufacturing and use, as well as the need for an external power source, such as a battery. Now, the researchers at Tel Aviv University have used state-of-the-art technology called a triboelectric nanogenerator (TENG) to engineer and test on animal models a tiny sensor that restores tactile sensation via an electric current that comes directly from a healthy nerve and doesn’t require a complex implantation process or charging.
The researchers developed a sensor that can be implanted on a damaged nerve under the tip of the finger; the sensor connects to another nerve that functions properly and restores some of the tactile sensation to the finger. This unique development does not require an external power source such as electricity or batteries. The researchers explain that the sensor actually works on frictional force: whenever the device senses friction, it charges itself.
The device consists of two tiny plates less than half a centimeter by half a centimeter in size. When these plates come into contact with each other, they release an electric charge that is transmitted to the undamaged nerve. When the injured finger touches something, the touch releases tension corresponding to the pressure applied to the device – weak tension for a weak touch and strong tension for a strong touch – just like in a normal sense of touch.
The researchers explain that the device can be implanted anywhere in the body where tactile sensation needs to be restored, and that it actually bypasses the damaged sensory organs. Moreover, the device is made from biocompatible material that is safe for use in the human body, it does not require maintenance, the implantation is simple, and the device itself is not externally visible.
According to Dr. Maoz, after testing the new sensor in the lab (with more than half a million finger taps using the device), the researchers implanted it in the feet of the animal models. The animals walked normally, without having experienced any damage to their motor nerves, and the tests showed that the sensor allowed them to respond to sensory stimuli. “We tested our device on animal models, and the results were very encouraging,” concludes Dr. Maoz. “Next, we want to test the implant on larger models, and at a later stage implant our sensors in the fingers of people who have lost the ability to sense touch. Restoring this ability can significantly improve people’s functioning and quality of life, and more importantly, protect them from danger. People lacking tactile sensation cannot feel if their finger is being crushed, burned or frozen.”
Deep Fake Technologies Create New Reality
- Industrial Engineering
Technology has proven time and again to have had such a beneficial effect on our world, whether that be creating food sources, clean water, or even curing the coronavirus. However, the Deep Fake technology, like many other innovative tools, if in the wrong hands, could pose a tremendous threat to the world.
Deep Fake is an Artificial Intelligence technology that can place one`s face in the video of another person (easy replica in videos, for example). Not only does it look real, it’s also harder to detect fraud, which can easily be used for identity, financial or social fraudulence.
Prof. Irad Ben-Gal from the Department of Industrial Engineering, the head of The Laboratory for AI, Machine Learning, Business & Data Analytics (LAMBDA) was recently interviewed by Walla News on the risks of Deep Fake technologies during the elections. Prof. Ben-Gal explains that application of Deep Fake technologies can be legitimate and have a positive effect if properly used. Among other things, he discussed deep network models and the options nowadays to create accurate simulations of reality in applications such as smart cities and epidemiological models of infection.
Conducted in collaboration with Dr. Erez Shmueli, from the Department of Industrial Engineering, this study showed the most effective ways of disseminating information was by using regular people in your social network who respond and discuss new opinions that you have just been exposed to. Opposite to celebrities, when regular users retell and circulate the new information, it creates local effect that makes the information more apparent on the web. This was the tactic that Cambridge Analytica used to target Facebook users during the first campaign of Trump.
This study was done as a follow up to the research of Dr. Alon Sela, who holds PhD from the Industrial Engineering Department at Tel Aviv University in collaboration with Prof. Shlomo Havlin and Dr. Louis Shechtman. They examined models of spreading opinions in modern society, and in their research, they compared two spreading mechanisms: “Word-of-Mouth” (WOM) and online search engines (WEB). In their study, the researchers applied modelling and real experimental results. This way, they compared opinions that people adopt through their friends and opinions they embrace when using a search engine based on the PageRank (and alike) algorithm.
The research findings showed that the opinions adopted through the use of WEB scheme is more homogenous. People using the search engines follow just a few dominant views without having a variety of different opinions, a phenomenon known as “the richer gets it all”. In contrast, WOM scheme produces more diverse opinions and their distribution.
Combining the physical world with the digital world
The “Digital Living 2030” project, spear-headed by Ben Gal and Professor Bambos at Stanford University, is concerned with connecting the digital world and the physical worlds as trends are analyzed about our future lives 10-15 years from now. Ben Gal explains that an avatar (digital character) can be created to represent a person in the digital space for a positive purpose. “Imagine an expert radiologist whose digital character has learned from all his past data about medical imaging so that others can work using his digital character when his physical character is no longer present, for example, when he sleeps at night.”
The research helps better understand the situation with the Deep Fake technology. Since the technology is available now for commercial use, it can be “used and abused” by anyone exposed to it. Fake videos can be produced in big amounts by ordinary people that are connected on social network and can affect each other`s opinion.
In the last days of an election campaign, this kind of activity can dramatically change the results, and “even if the fraud is detected at the end of the day, it will be too late.” – says Prof. Ben-Gal. “From the other side, having a diversity of opinions, new and not ordinary, is essential and enriching. If the application of technology is legitimate and reliable, it can enrich the body of human knowledge with diverse opinions.”
Loving the problem is the greatest way to invent
Tel Aviv University researchers connect a real locust ear to a robot
- Mechanical Engineering
A technological and biological development that is unprecedented in Israel and the world has been achieved at Tel Aviv University. For the first time, the ear of a dead locust has been connected to a robot that receives the ear’s electrical signals and responds accordingly. The result is extraordinary: When the researchers clap once, the locust's ear hears the sound and the robot moves forward; when the researchers clap twice, the robot moves backwards.
The interdisciplinary study was led by Idan Fishel, a joint master student under the joint supervision of Dr. Ben M. Maoz of the Iby and Aladar Fleischman Faculty of Engineering and the Sagol School of Neuroscience, Prof. Yossi Yovel and Prof. Amir Ayali, experts from the School of Zoology and the Sagol School of Neuroscience together with –, Dr. Anton Sheinin, Idan, Yoni Amit, and Neta Shavil. The results of the study were published in the prestigious journal Sensors.
The researchers explain that at the beginning of the study, they sought to examine how the advantages of biological systems could be integrated into technological systems, and how the senses of dead locust could be used as sensors for a robot. “We chose the sense of hearing, because it can be easily compared to existing technologies, in contrast to the sense of smell, for example, where the challenge is much greater,” says Dr. Maoz. “Our task was to replace the robot's electronic microphone with a dead insect's ear, use the ear’s ability to detect the electrical signals from the environment, in this case vibrations in the air, and, using a special chip, convert the insect input to that of the robot.”
To carry out this unique and unconventional task, the interdisciplinary team (Maoz, Yovel and Ayali) faced number of challenged. In the first stage the researchers built a robot capable of responding to signals it receives from the environment. Then, in a multidisciplinary collaboration, the researchers were able to isolate and characterize the dead locust ear and keep it alive, that is, functional, long enough to successfully connect it to the robot. In the final stage, the researchers succeeded in finding a way to pick up the signals received by the locust’s ear in a way that could be used by the robot. At the end of the process, the robot was able to “hear” the sounds and respond accordingly.
“Prof. Ayali’s laboratory has extensive experience working with locusts, and they have developed the skills to isolate and characterize the ear,” explains Dr. Maoz. “Prof. Yovel's laboratory built the robot and developed code that enables the robot to respond to electrical auditory signals. And my laboratory has developed a special device - Ear-on-a-Chip - that allows the ear to be kept alive throughout the experiment by supplying oxygen and food to the organ, while allowing the electrical signals to be taken out of the locust’s ear and amplified and transmitted to the robot.
“In general, biological systems have a huge advantage over technological systems - both in terms of sensitivity and in terms of energy consumption. This initiative of Tel Aviv University researchers opens the door to sensory integrations between robots and insects - and may make much more cumbersome and expensive developments in the field of robotics redundant.
“It should be understood that biological systems expend negligible energy compared to electronic systems. They are miniature, and therefore also extremely economical and efficient. For the sake of comparison, a laptop consumes about 100 watts per hour, while the human brain consumes about 20 watts a day. Nature is much more advanced than we are, so we should use it. The principle we have demonstrated can be used and applied to other senses, such as smell, sight and touch. For example, some animals have amazing abilities to detect explosives or drugs; the creation of a robot with a biological nose could help us preserve human life and identify criminals in a way that is not possible today. Some animals know how to detect diseases. Others can sense earthquakes. The sky is the limit.”
The research provided by Dr. Ines Zucker of the Faculty of Engineering and The Porter School of Environmental Sciences shows that gaseous ozone can effectively disinfect Covid-19.
- Mechanical Engineering
The Covid-19 pandemic has severely affected public health around the world leading to a global panic. It has been more than a year since countries worldwide are enforcing social distancing and isolation, cancelling flights, and asking millions of their countries’ inhabitants to get tested to prevent further spreading of the virus.
Evidences that the Covid-19 is transmitted through aerosols and surfaces made scientists all over the world search for effective methods of disinfection. Dr. Ines Zucker from the School of Mechanical Engineering and the Porter School of Environmental Science, together with Dr. Yinon Yecheskel, the manager of the Zucker Lab, is taking part in the global fight against the pandemic. In recent days, Dr. Zucker and Dr. Yecheskel are working on practical methods to enable the use of ozone gas as a safe and potent disinfectant against SARS-CoV-2 virus.
Ozone is mostly known as a protective layer in the Earth`s stratosphere that absorbs dangerous ultraviolet wavelengths and protect us from harmful radiation. At ground level, ozone is a toxic gas that can cause health issues and overall, is considered as an air pollutant. However, ozone is also known as a strong oxidant that is used in water and wastewater treatment. Dr. Ines Zucker and her team try to adapt the method whereby they use ozone to break down water contaminants and apply it to disinfect Coronavirus from infected surfaces and aerosols.
“We generate ozone through electrical discharge of oxygen gas, and typically use the mixed stream to oxidize chemicals in water. Now, we proved the potential use of ozone-gas disinfection to combat the COVID-19 outbreak”- says Dr. Zucker. Through process engineering, ozone can be safely used for air disinfection, while minimizing exposure to ozone residues in treated air. The advantage of ozone over other common disinfectants (such as alcohol) is its ability to disinfect hidden objects and indoor air, and not just exposed surfaces.
Moreover, the researchers found a safe, non-contagious model of the SARS-CoV-2 virus which they are using to accelerate their research on ozone disinfection.
“We paved the way towards a promising ozone-based disinfection method, and now we are continuing our research and examining optimal conditions to minimize infectivity as well as ozone residues in the treated area”– concludes Dr. Zucker.
Photo: on the right, Dr. Joel Alter, Dr. Moshe Dessau, Dr. Yinon Yehezkel and Dr. Ines Zucker
The research was conducted in collaboration with Dr. Moshe Dessau from the Faculty of Medicine at Bar Ilan University, and Dr. Yaal Lester from Azrieli College of Engineering in Jerusalem. The preliminary findings of the study were published in the journal Environmental Chemistry Letters.
Loving the problem is the greatest way to invent
Dr. Avishai Sintov has created a wearable device that can detect the movements of the forearm muscles and communicate the intentions of human activities which a robot will sense and reciprocate.
- Mechanical Engineering
Human- robot collaboration requires intuitive understanding of human movements. Since our early childhood development, we learn that the different kinds of movements we perform in a certain way, will generate a certain response, more often than not, without any verbal communication. For example, if you offer a cup of coffee to your friend, they will intuitively reach their hand out to take the cup. In fact, by just looking at the cup in your hands, your friend will understand the intention and predict the trajectory of your movements, acting in response.
The research findings of Dr. Avishai Sintov and graduate student, Nadav Kahanovich, will be published in the The IEEE Robotics & Automation Letters.
Dr. Avishai Sintov is the Head of ROB-TAU lab lab at the Mechanical Engineering at Tel Aviv University. Dr. Sintov and his team of researchers study the prediction of human intentions in non-verbal communication, and aim to “teach” this to robots..
In their article, the researchers showed that a simple and inexpensive wearable device can detect different motions of human forearm muscles. The device contains 15 power sensors that stick to the skin and detect muscles contractions when a person takes various objects and moves a hand. Using their algorithms, the robot receives information about the objects in real time which imply about the intention of the person. The algorithms include a neural network that is trained to read and interpret the information from the device and accurately predict the intention of the interaction in real time.
The ability to predict the intentions of human activities helps the robot plan the movement for efficient and quick assistance. This approach will allow robots to work intuitively without verbal communication and cameras.
Photo: The robot identifies the objects and assists the person
In the future, this technology can assist people with disabilities, for example a wheelchair-mounted robot arm aid to assist with daily activities. It can be also applied in the factories and hospitals. Can you imagine a robot replacing a nurse and assisting a surgeon during medical procedures? We applaud our engineers and students for their fantastic discovery and research which will only enhance our world.
The research is funded by the Israeli Science Foundation.
Loving the problem is the greatest way to invent
Web Mining utilizes data mining techniques to discover and automatically learn information on the Internet (www). One of the most challenging applications of Web Mining is identifying the type of a specific website based on the category to which it belongs, and in particular identifying malicious websites. Malicious websites are websites created with the intent of harming users, stealing information or conducting other undesirable activities when the user enters the website, and afterwards.
In recent years, many methods have been developed for identifying website categories. Some are based on analyzing the website's textual content, its users' navigating profiles??, suspect traits found in the website itself, IP forgeries and many other properties. At the same time, the already enormous amount of information existing on the Internet continues to rise rapidly and exponentially, making the identification task ever more complex – often requiring a great deal of expensive resources.
A study carried out by Doron Cohen, under the supervision of Prof. Irad Ben-Gal and Prof. Shulamith Kreitler, tested a new method for identifying websites, based on an analysis of their graphic design, via methods of data mining. To this end, an algorithm was constructed, which receives a URL as input, and produces an output by retrieving and processing all graphic design features and storing them as tables in the server. The researchers examined hundreds of home pages of websites taken from Google's top 1000 sites. For each of these, over 1000 graphic design features were examined, such as: size of area covered by each color, font size, number of characters, standard deviations, quantity and type of elements etc.
After processing and analyzing the data, the researchers built a predictive model based on a decision tree, and then cross-validated the model. In the first experiment they discovered that classification based solely on graphic design enables relatively high prediction of all five examined website categories (including that of malicious websites). Another experiment found that adding graphic design features to another objective prediction method can improve the precision of identification – specifically of malicious websites - by 95%, and in a statistically significant manner, using low-cost resources and low runtimes. A possible explanation for these findings is that malicious websites apparently try to conceal keywords to avoid detection by search engines, while a search based on so many graphic features can identify repeated patterns which are more difficult to conceal.
The study revealed that graphic design, especially colors, plays an important part in the prediction of website categories. Adding graphic properties to other predictive systems can improve their accuracy, and is therefore highly recommended. The study will be presented at the national cyber conference scheduled to take place in September at Tel Aviv University.