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UrduNew initiative has long-term goal of making search technology more evenhanded
Tag: ALGORITHMS/MODELS
The risk of being discriminated by the algorithm
KIT study identifies many possibilities of unequal treatment and recommends preventative measures
The risk of being discriminated by the algorithm
KIT study identifies many possibilities of unequal treatment and recommends preventative measures
New research shows the more women on a company’s board, the more market value is lost
CATONSVILLE, MD, November 12, 2019 – A company with a gender-diverse board of directors is interpreted as revealing a preference for diversity and a weaker commitment to shareholder value, according to new research in the INFORMS journal Organization Science .…
Engineers help with water under the bridge and other tough environmental decisions
In two new papers, civil engineers explore how to make decisions using quantifiable social, economic and environmental guidelines. It’s called a sustainability-based optimized algorithm. It’s designed to help land managers, city planners, engineers and policymakers make decisions about civil engineering…
Etalumis ‘reverses’ simulations to reveal new science
New probabilistic programming framework a finalist for best paper at SC19
New research shows the more women on a company’s board, the more market value is lost
CATONSVILLE, MD, November 12, 2019 – A company with a gender-diverse board of directors is interpreted as revealing a preference for diversity and a weaker commitment to shareholder value, according to new research in the INFORMS journal Organization Science .…
Engineers help with water under the bridge and other tough environmental decisions
In two new papers, civil engineers explore how to make decisions using quantifiable social, economic and environmental guidelines. It’s called a sustainability-based optimized algorithm. It’s designed to help land managers, city planners, engineers and policymakers make decisions about civil engineering…
Etalumis ‘reverses’ simulations to reveal new science
New probabilistic programming framework a finalist for best paper at SC19
Stress testing the healthcare system
Researchers in Vienna can infer the resilience of a health care system from its doctors’ networks
Putting a conservation finger on the internet’s pulse
Scientists from the University of Helsinki have figured out how to mine people’s online reactions to endangered animals and plants, so that they can reduce the chance of pushing species toward extinction. When the last male northern white rhinoceros died…
Stress testing the healthcare system
Researchers in Vienna can infer the resilience of a health care system from its doctors’ networks
Putting a conservation finger on the internet’s pulse
Scientists from the University of Helsinki have figured out how to mine people’s online reactions to endangered animals and plants, so that they can reduce the chance of pushing species toward extinction. When the last male northern white rhinoceros died…
New study suggests ‘Pac-Man-like’ mergers could explain massive, spinning black holes
RIT Associate Professor Richard O’Shaughnessy contributes to study in Physical Review Letters
The way of making memories
New study on how memories are formed and the ability of the nervous system to learn and adapt to changing conditions
No more traffic blues for information transfer: decongesting wireless channels
A machine-learning algorithm can help select the best channel for communication over a wireless network of resource-constrained devices
A new machine learning approach detects esophageal cancer better than current methods
Researchers at Dartmouth’s Norris Cotton Cancer Center have created a deep learning model that can accurately identify cancerous esophagus tissue on microscopy images without the time-consuming manual data input required for current methods
Neuron circuitry from brain signals
Using machine learning to construct a map of neuronal connections
NJIT professor wins Fulbright Award, joins international circadian clock research project
Casey Diekman, associate professor of mathematics at New Jersey Institute of Technology (NJIT), has been named recipient of a prestigious Fulbright U.S. Scholar Program Award to the United Kingdom in Mathematical Biology. With the announcement of his Fulbright U.S. Scholar…
Assaf Naor receives Ostrowski Prize in Higher Mathematics
The Czech-Israeli mathematician Assaf Naor has been awarded the international Ostrowski Prize in Higher Mathematics 2019. The Ostrowski Prize is worth 100,000 Swiss Francs and named after Alexander M. Ostrowski, a professor of mathematics who taught at the University of…
Showing robots ‘tough love’ helps them succeed, finds new USC study
Humans acting in an adversarial manner towards robotic systems can actually improve their robustness
Have the great theories become obsolete?
Bielefeld University’s anniversary conference on Nov. 14-15
A new machine learning approach detects esophageal cancer better than current methods
Researchers at Dartmouth’s Norris Cotton Cancer Center have created a deep learning model that can accurately identify cancerous esophagus tissue on microscopy images without the time-consuming manual data input required for current methods
Neuron circuitry from brain signals
Using machine learning to construct a map of neuronal connections
NJIT professor wins Fulbright Award, joins international circadian clock research project
Casey Diekman, associate professor of mathematics at New Jersey Institute of Technology (NJIT), has been named recipient of a prestigious Fulbright U.S. Scholar Program Award to the United Kingdom in Mathematical Biology. With the announcement of his Fulbright U.S. Scholar…
Assaf Naor receives Ostrowski Prize in Higher Mathematics
The Czech-Israeli mathematician Assaf Naor has been awarded the international Ostrowski Prize in Higher Mathematics 2019. The Ostrowski Prize is worth 100,000 Swiss Francs and named after Alexander M. Ostrowski, a professor of mathematics who taught at the University of…
Showing robots ‘tough love’ helps them succeed, finds new USC study
Humans acting in an adversarial manner towards robotic systems can actually improve their robustness
Have the great theories become obsolete?
Bielefeld University’s anniversary conference on Nov. 14-15
Cooperating may result in better self-driving experience
In a dynamic computer game in which the computer is also a decision maker, you may often find yourself competing with the game to reach your goal. Similarly in handling a “self-driving” car, automobile equipped with automated driving technology, human…
XenonPy.MDL — Comprehensive library of pre-trained models for materials properties
Transfer learning may serve as a solution to the scarcity of materials property data
When managing a company, less is more
Branding research reveals strategies to maximize market share
Texas Heart Institute wins prestigious grant to develop wireless and leadless pacemakers
Doctors and engineers at Texas Heart Institute, Rice and UCLA collaborate to advance cardiac devices
Learning is optimized when we fail 15% of the time
To learn new things, we must sometimes fail. But what’s the right amount of failure? New research led by the University of Arizona proposes a mathematical answer to that question. Educators and educational scholars have long recognized that there is…
Zebrafish discovery throws new light on human hearing disorders
Scientists gain understanding of mechanisms that determine growth patterns of tiny hairy cells within the ear
Prisoner’s dilemma game reveals cooperation leads to leadership
Scientists revisit a well-studied philosophical scenario to explore hierarchy within cooperation.
Dartmouth Computer scientist receives $1.5 million to build new AI approaches to lung cancer
A $1.5 million National Cancer Institute grant to Computer Scientist Saeed Hassanpour of Dartmouth’s Norris Cotton Cancer Center will be used to build new artificial intelligence (AI) technologies for precision cancer care in lung cancer management
Swarm of tiny drones explores unknown environments
Researchers have presented a swarm of tiny drones that can explore unknown environments completely by themselves. This work, presented in Science Robotics on 23 October, forms a significant step in the field of swarm robotics. The challenge comes from the…
Symbol of change for AI development
A mathematical framework that bridges the gap between high-level human-readable knowledge and statistical data has been developed by a KAUST team and is expected to improve machine learning. Humans rely on patterns, labels and order to make sense of the…
Toll roads are good for the environment, Russian scientists confirm
Researchers developed a method to calculate the number of stops trucks make along their routes; the method confirms that toll roads are good for the environment
Giving robots a faster grasp
An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use
Computer models show clear advantages in new types of wind turbines
Researchers have modelled the fluid dynamics of multi-rotor wind turbines, and how they interact in wind farms; the research demonstrates a clear advantage for a turbine model with four rotors
High-level EU funding: MLU receives grant for an international Ph.D.-network
The Institute of Mathematics at the Martin Luther University Halle-Wittenberg (MLU) is to coordinate a new European Training Network (ETN) for doctoral students. The 14 research projects will examine how complex mechanical systems can be better modelled and simulated on…
Analysis of Galileo’s Jupiter entry probe reveals gaps in heat shield modeling
Data from the probe’s 1995 fireball has continued to confound those studying the mission. New simulations and faster computers point to bettering atmospheric entry vehicles.
Peeping into the black box of AI to discover how collective behaviors emerge
How do the stunningly intricate patterns created by schools of fish emerge? For many scientists, this question presents an irresistible mathematical puzzle involving a substantial number of variables describing the relative speed and position of each individual fish and its…
ACM-SIAM Symposium on Discrete Algorithms (SODA20)
This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to…
New tool enables Nova Scotia lobster fishery to address impacts of climate change
U.S. and Canadian researchers have developed a tool that incorporates projected changes in ocean climate onto a geographic fishery management area. Now fishermen, resource managers, and policy-makers can use it to plan for the future sustainability of the lobster fishery…
Changes in driver shifts and pick-up choices for food delivery services can boost profits
INFORMS journal Transportation Science New Study Key Takeaways: Optimizing delivery driver shifts can reduce pick-up time by 50%. Choosing restaurants closer to the drop-off location rather than where a meal was just delivered can reduce delivery time by 17%. Order…
Two projects in mechanics supported by the Russian Foundation for Basic Research
Good news for Kazan University has arrived recently
AI and big data predict which research will influence future medical treatments
An artificial intelligence/machine learning model to predict which scientific advances are likely to eventually translate to the clinic has been developed by Ian Hutchins and colleagues in the Office of Portfolio Analysis (OPA), a team led by George Santangelo at…
Predicting the impact of climate change on bridge safety
Lehigh University researchers’ novel approach combining climatology, hydrology, structural engineering, and risk assessment could help communities fortify bridges against scour caused by extreme weather