Search for: algorithm

A robot scientist is ready for drug discovery

The robot scientist Eve has been assembled and is now operating at Chalmers University of Technology. Eve’s first mission is to identify and test drugs against Covid-19.

Your new lab partner: the robot scientist

Researchers have built an intelligent mobile robot scientist that can work 24-7, carrying out experiments by itself.

'Deepfaking the mind' to improve brain-computer interfaces

Researchers are using generative adversarial networks to improve brain-computer interfaces for people with disabilities.

Artificial intelligence betters holographic displays

Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.

Diabetes retinal screening through deep learning

Ubotica has developed a deep learning-based solution for detecting the presence of diabetic retinopathy indicators in retinal images.

Robotic hands manipulate objects with ease

A system can reorient over two thousand different objects, with the robotic hand facing both upwards and downwards.

Figurative language confuses chatbots

When chatbots are confronted with dialog that includes idioms or similes, their performance drops to between 10 and 20 percent.

Giving robots social skills

A machine learning system helps robots understand and perform certain social interactions

A smartwatch-based algorithm to detect viral infections

Purdue University engineers and physIQ have developed a viral detection algorithm for smartwatches.

AI takes aim at COVID-19 “infodemic”

Researchers are developing an algorithm that flags tweets that spread bogus information about vaccines.

AI Eve augments genetic tests

AI model called EVE shows remarkable capacity to interpret the meaning of gene variants in humans as benign or disease-causing.

Machine learning diagnoses COVID-19 from chest CTs

Scientists have developed an algorithm for rapid, computerized diagnosis of COVID-19, overcoming the limitations of reverse transcription polymerase chain reaction.

Artificial networks learn to smell

When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.

AI spots anomalies in medical images

The neural network detects anomalies in medical images more successfully than general-purpose solutions.

AI picks up mutations in colorectal cancers

A deep learning algorithm picks up molecular pathways and the development of key mutations more accurately than existing methods.

AI accelerates discovery of 3D printing materials

A new machine learning system costs less, generates less waste, and can be more innovative than manual discovery methods.

AI tech identifies genetic causes of serious disease

An AI-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy.

An affordable self-navigating smart cane

The cane incorporaties sensing and way-finding approaches from robotics and self-driving vehicles.

Exoskeleton allows amputees to walk with less effort

A lightweight powered exoskeleton helps lower-limb amputees walk with much less effort.

A cryptography game changer for biomedical research

Data privacy and security concerns hamper large-scale studies. Researchers have developed a potential solution.

Blockchain could provide secure communications for robots

The use of blockchain technology as a communication tool for a team of robots could provide security and safeguard against deception.

Enabling AI-driven advances without sacrificing privacy

Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.

Monitoring mental health in cancer survivors with "FAITH"

AI-based solution FAITH is designed to monitor the mental health status of people who have undergone cancer treatment.

Algorithm to predict psychotic illnesses

To detect the symptoms that herald the development of psychotic illnesses, scientists have applied longitudinal network analysis to children.

Making motion sensing devices more personal

An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.

A wearable sensor for neonatal seizure monitoring

Hongyu Chen has developed a wearable sensor system for the continuous monitoring of neonatal seizures.

How robots can tell how clean is ‘clean’

A sensor for autonomous cleaning robots can quantify the cleanliness of a given area.

Researchers psychoanalyse artificial intelligence

We can run tests and experiments, but we cannot always predict and understand why AI does what it does.

The progress and risks of artificial intelligence

Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.

Cyber-physical organ twins to train surgeons

Researchers have developed a range of artificial organ phantoms to serve as training platforms for surgeons.

Machine learning to treat COVID-19 patients worldwide

More than 20 hospitals from across the world together with NVIDIA have used AI to predict Covid patients’ oxygen needs on a global scale.

3D printed objects sense how user is interacting with them

Researchers have developed a method to integrate sensing capabilities into 3D printable structures comprised of repetitive cells.

Sea slugs help build better hardware for AI

Researchers mimic the animal kingdom’s most basic signs of intelligence in quantum material.

Chatbots could train our mental condition

Technology will play an increasingly social and even emotional role in our lives. Virtual conversations lead to more self-compassion.

Smart shoe sensors to detect health issues

A smart shoe with inbuilt sensors could improve the quality of life of older people through the early detection of dementia and diabetic ulcers.

AI screens and diagnoses glaucoma

Scientists have developed a novel method that uses artificial intelligence to screen for glaucoma.

Using AI and video for early detection of autism

Using artificial intelligence, researchers have developed a device for the early detection of autism spectrum disorder in children.

Electronic nose sniffs out failing lung transplant

An electronic “nose” is capable of detecting with 86% accuracy when a lung transplant is beginning to fail.

AR allows researchers to see patients’ real-time pain

Researchers have developed a technology to help clinicians "see" and map patient pain in real-time, through special augmented reality glasses.

Reconstruction of 3D micro-CT images with the help of machine learning

Researchers have used machine learning to help reconstruct three-dimensional micro-CT images of fibrous materials.

Controlling prosthetic limbs with the help of magnets

Researchers have inserted small magnetic beads into muscle tissue within an amputated residuum for more precise control of prosthetic limbs.

An artificial neural network designed by an international team involving UCL can translate raw data from brain activity, paving the way for new discoveries and a closer integration between technology and the brain.

Fast and cheap detection of SARS-CoV-2 with biosensors

Researchers have produced a low-cost device to detect SARS-CoV-2 with biosensors.

AI finds out what makes human tick

Scientists have developed a machine learning technology to understand how gene expression regulates an organism's circadian clock.

Wearables can help assess of myoclonic jerks

A study shows that wearable sensor technology can be used to reliably assess the occurrence of myoclonic jerks in patients with epilepsy also in the home environment.

Sensor material powers wearables in extreme cold

A new material that combines the flexibility of human skin with improved conductivity and tolerance of temperatures as low as -93 C.

AI assesses metastatic potential in skin cancers

Using a deep learning algorithm, researchers have developed a way to accurately predict which skin cancers are highly metastatic.

Artificial pancreas trialed for outpatients with type 2 diabetes

Tests show that the device can help patients safely and effectively manage their blood glucose levels and reduce the risk of low blood sugar levels.

Machine learning improves when social factors are included

Machine learning can accurately predict cardiovascular disease and guide treatment — but models that incorporate social determinants of health better capture risk and outcomes for diverse groups.

Tracking circadian rhythms with a smartwatch

Researchers have developed a way to extracts a person's circadian rhythm based on heart rate data provided by their smartwatch.

Diabetology 4.0: emerging technologies for diabetes care

This overview introduces smart insulin delivery systems and more innovations that help patients and doctors guide decision-making in diabetes care.

Bipedal robot learns to run

Cassie the robot has made history by traversing 5 kilometers, completing the route in just over 53 minutes.

Deep learning helps visualize X-ray data in 3D

Scientists have leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.

Medical data paves the way for machine learning

An consortium aims to transform the field of prostate cancer care by unlocking the potential of big data and big data analytics.

Artificial intelligence shortcuts introduce bias in cancer treatment

AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.

AI predicts risk of developing type 2 diabetes

Artificial intelligence could be used to predict who is at risk of developing type 2 diabetes—information that could be used to improve the lives of millions of Canadians.

Artificial intelligence for emergency management

A consortium aims to develop a platform that will serve as the basis for novel services and test the use of new artificial intelligence tools.

Wearable devices can reduce collision risk in blind people

A wearable computer vision device can reduce collisions for both people who are blind or those who are visually impaired and using a long cane and/or guide dog by 37 percent, compared to using other mobility aids alone.

Brain-machine interface turns intentions into actions

A wearable brain-machine interface system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome.

Liquid metal sensors and AI used for prosthetics

For the first time, researchers incorporated stretchable tactile sensors using liquid metal on the fingertips of a prosthetic hand.

A contact aware robot design

Researchers have developed a new method to computationally optimize the shape and control of a robotic manipulator for a specific task.

Neuroprosthesis decodes speech for paralyzed man

Researchers have developed a "speech neuroprosthesis" that has enabled a man with severe paralysis to communicate in sentences.

Robot helps people with limited mobility get dressed

Scientists have developed an algorithm to help a robot find efficient motion plans to ensure physical safety of its human counterpart.

AI measures fat around heart to predict diabetes

Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.

The gait lab for the pocket – app-based fall prevention

Every day, elderly people fall – be it at home or in care facilities. Lindera aims to reduce the risk of falling with the help of artificial intelligence.

Harnessing AI to discover new drugs

Artificial intelligence can recognise the biological activity of natural products in a targeted manner.

Machine learning: superior results for low-dose CT

Machine learning has the potential to vastly advance medical imaging, particularly CT scanning, by reducing radiation exposure and improving image quality.

Ultrasound sensor measures blood pressure

Imec uses an ultrasound sensor to measure the central pulse wave velocity, to determine arterial stiffness, and monitoring blood pressure.

AI improves speech recognition in hearing aid

In noisy environments, it is difficult for hearing aid or hearing implant users to understand their conversational partner. Artificial intelligence could solve this problem.

Photos of toasters train AI to detect COVID

Research using machine learning on images of everyday items is improving the accuracy and speed of detecting respiratory diseases, reducing the need for specialist medical expertise.

Foldit : Video gamers design brand new proteins

Researchers encoded their specialized knowledge into the computer game Foldit to enable citizen scientists to successfully design synthetic proteins for the first time.

Smart biomarkers to empower drug development

Researchers aim to speed up developing drugs against brain diseases through cutting-edge technology. They are generating an innovative technology platform based on high-density microelectrode arrays and 3D networks of human neurons.

Smart elastomers make robots more touchy-feely

A new generation of robotic tools are beginning to be realized thanks to a combination of strong 'muscles' and sensitive 'nerves' created from smart polymeric materials.

Deep learning predicts viral infections

Using fluoresence images from live cells, researchers have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses.

AI app could help diagnose HIV more accurately

New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.

Robot-assisted surgery: Putting the reality in VR

Cardiac surgeons may be able to better plan operations and improve their surgical field view with the help of a robot.

3D printing devices to boost bacterial resistance

Researchers have discovered how to tailor-make artificial body parts and other medical devices with built-in functionality that offers better shape and durability, while cutting the risk of bacterial infection at the same time.

AI predicts how patients with viral infections will fare

Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.

Intelligent algorithms for movement apps

With LTech, the Lindera Software Development Kit, health tech company Lindera brings innovation and AI technology to the fitness industry.

AI enhances efficacy of sleep disorder treatments

Based on 20,000 nights of sleep, researchers have developed an algorithm that can improve the diagnosis, treatment and overall understanding of sleep disorders.

Smart textiles: a programmable digital fiber

In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.

Deep learning Assesses risk of cardiovascular disease

A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.

Wearables can help predict blood test results

Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count.

Gamers take on COVID-19 analysis

Scientists have been receiving help with vital coronavirus research from an unlikely team of data analysts—players of the popular online computer game EVE Online.

Smart device-based electronic platform monitor mental health

To help patients manage their mental wellness between appointments, researchers at Texas A&M University have developed a smart device-based electronic platform that can continuously monitor the state of hyperarousal, one of the signs of psychiatric distress.

AI laboratory provides precision treatment for kids with autism

The University of Texas at San Antonio has established a wearables and AI laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD).

Difference between numerical age and biological age affects health

A new study from the Mayo Clinic found that differences between a person's age in years and his or her biological age, as predicted by an artificial intelligence (AI)-enabled EKG, can provide measurable insights into health and longevity.

Deep learning predicts lung cancer risk

An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a new study.

Smart wristband alerts about dangerous health conditions

Researchers are developing a smart wrist-worn device for monitoring of atrial fibrillation – a condition, which if left untreated can lead to serious health complications and even death.

Using digital twins to help treat multiple sclerosis

Scientists in Dresden are expanding their digital health expertise in multiple sclerosis (MS) therapy and research with an ambitious scientific project - creating a "digital twin“ from data.

An exoskeleton allows a tetraplegic patient to move

A 4-limb robotic system controlled by brain signals helped a tetraplegic man to move his arms and walk using a ceiling-mounted harness for balance.

Brain-computer interface turns mental handwriting into text

Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.

Self-learning robots go full steam ahead

Researchers have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected the simple robots in a line, after which each individual robot taught itself to move forward as quickly as possible.

Eliminating bias from AI critical to improve equity

AI-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.

Smart system helps robots navigate emergency rooms

Scientists have developed a more accurate navigation system that allows robots to better negotiate busy clinical environments in general and emergency departments more specifically.

AI makes great microscopes better than ever

Machine learning helps some of the best microscopes to see better, work faster, and process more data.

AI enhances predictions of COVID-19 outcomes

Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.

Cancer: AI identifyies patients for immunotherapy

Stomach and colorectal cancer: Identifying patients at an early stage who are suitable for artificial intelligence immunotherapy.

AI makes no-cath forecast

Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.

Medtronic taps augmented reality 'flight simulators' for surgery

Medtronic partners with Surgical Theater to provide the first augmented reality platform for use in real-rime during complex cranial procedures.

Ankle exoskeleton increase walking speed

In lab tests, researchers found that an optimized ankle exoskeleton system increased participants’ walking speed by about 40 percent compared with their regular speed.

Machine learning makes proteomics research more effective

Using AI, researchers have succeeded in making the mass analysis of proteins from any organism significantly faster than before and almost error-free.

Are AI devices evaluated appropriately?

A study from Stanford University found limitations in the Food and Drug Administration’s approval process.

3D Printing living cells with unprecedented precision

The combination of a 2Photon 3D-printer with an innovative hydrogel-based bioink allows the direct printing of 3D structures containing living cells at both the meso- and microscale.

Designing better antibody drugs with machine learning

Artificial intelligence could help to optimise the development of antibody drugs. This leads to active substances with improved properties, also with regard to tolerability in the body.

Wearable sensors to track Parkinson's symptoms

Scientists have developed algorithms that, combined with wearable sensors, could help clinicians to monitor the progression of Parkinson’s disease.

Making AI understandable – constructing explanation processes

Human-machine interaction is complex. Researchers investigate a new form of interaction between humans and machines.

AI could crack the language of cancer

Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.

Robotics: man and machine in the OR

There is an ongoing debate as to whether the extensive usage of robots in the short-term is realistic and sensible. Moreover, the benefits such systems offer for patient care are disputed.

First use of high-bandwidth wireless brain-computer interface

BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.

Eye surgery: Gaining insights through AR

Eye surgery is a delicate and precise process. A new simulation platform based on augmented reality allows surgeons to practice surgical procedures on a virtual model in three dimensions.

Xenobots 2.0: The next generation of living robots

Researchers have created life forms that self-assemble a body from single cells and do not require muscle cells to move. They're faster, live longer, and can now record information.

SysteMD: A sensor for tracking mental health

Researchers have developed a system consisting of a number of different sensors that work together to analyze various physical parameters to help with screening, diagnosing, and monitoring mental health conditions.

Smart textiles measure your movements

Researchers have developed clothing that uses special fibers to sense a person's movement via touch.

Mixed reality gets machine learning upgrade

Scientists at Osaka University employed deep learning to improve mobile mixed reality generation.

Algorithm designs soft robots that sense

Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.

Toilet seat detects congestive heart failure

A toilet-seat based cardiovascular monitoring system aims to lower the hospital readmission rates of patients with congestive heart failure.

Sonolithography: Using ultrasound for bioprinting

Researchers have found a way to coax particles and droplets into precise patterns using the power of sound.

Using AI to generate 3D holograms in real-time

A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.

AI can identify cancerous cells by their acidity

Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.

Machine learning speeds up drug discovery

Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.

COVID-19: AI models not yet suitable for clinical use

Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.

AI system for the diagnosis of breast cancer

Researchers have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence.

Smart speakers contactlessly monitors heart rhythms

Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.

Wristband predictings pediatric seizures

Researchers have evaluated whether data derived solely from these wristbands could accurately predict various types of seizures in pediatric patients.

Key task in computer vision gets a boost

A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.

How soft robots can turn rigid on demand

Researchers have developed a new type of control system that may broaden robots’ range of tasks and allow safer interactions with people.

Deep learning tool to revolutionize microscopy

Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.

Decentralized patient monitoring: Sensors quickly detect changes in vital signs

The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.

Sensor for robots mimicks skin characteristics

Researchers have developed a new soft tactile sensor with skin-comparable characteristics.

AI identifies precancerous colon polyps

A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans.

AI, holographic microscopy beat scientists at analyzing immunotherapy

AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.

Monitoring your ZZZs - how sleep trackers perform

Researchers tested the efficacy of eight commercial sleep trackers. The result: you snooze, you lose – at least with with some of them.

AI identifies 'ugly ducklings' to catch skin cancer

Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.

More accurate measurements of wearables

Researchers are aiming to improve wearables for medical applications and to enable the portable minicomputers to make more accurate measurements.

AI detects a new class of mutations behind autism

Using artificial intelligence, researchers have decoded the functional impact of genome mutations in people with autism spectrum disorder.

AI makes strides in search for COVID-19 treatments

A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.

An on-chip printed 'electronic nose'

Researchers have designed an on-chip printed 'electronic nose' that serves as a proof of concept for low-cost and sensitive devices to be used in healthcare.

Optical probe could improve breast cancer removal

Researchers have developed the first wearable probe that enhances the sense of touch by imaging and quantifying the elasticity of biological tissue.

'Liquid' machine learning system adapts to changing conditions

A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.

Diagnosing prostate cancer using biosensors and AI

Successful precision cancer diagnosis through an AI analysis of multiple factors of prostate cancer. Potential application of the precise diagnoses of other cancers by utilizing a urine test.

Customized “brains” for robots

Researchers have developed an automated way to design customized hardware, or “brains,” that speeds up a robot’s operation.

Cardivascular diseases: digital twin improves therapy

Using mathematical image processing, scientists have found a way to create digital twins from human hearts.

How to train a robot - using AI and supercomputers

Computer scientists use TACC systems to generate synthetic objects for robot training.

Robot learns fast and safe navigation strategy

Researchers have proposed a new framework for training mobile robots to quickly navigate while maintaining low collision rates.

Biomedical research: deep learning outperforms machine learning

Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.

Precision health in the palm of your hand

Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.

The impact of 3D printing in radiology

At ECR 2019, speakers emphasized that 3D printing enables an innovative way to display imaging, and it allows radiologists to offer clinical value to their medical and surgical colleagues.

Breakthrough optical sensor mimics human eye

Researchers 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.

Would we be able to control superintelligent machines?

Using theoretical calculations, scientists showed that it would not be possible to control a superintelligent AI.

Earable computing: A new research area in the making

CSL's Systems and Networking Research Group (SyNRG) is defining a new sub-area of mobile technology that they call "earable computing."

Researchers compute turbulence with AI

The project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint".

Multifunctional sensor system could revolutionize smart contacts

Researchers have demonstrated a novel multifunctional ultrathin contact lens sensor layer with transistors that may revolutionise the manufacture of smart contact lenses.

AIs detect diabetic eye disease inconsistently

Although some artificial intelligence software tested reasonably well, only one met the performance of human screeners.

Using AI to find new uses for existing medications

Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.

Biosensors convert signals to control prosthetics

High-five or thumbs-up? Researchers have developed a wearable sensor that detects which hand gesture you want to make.

Self-learning algorithms analyze imaging data

Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.

AI-designed serotonin sensor may help study mental health

NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.

AI test predicts eye disease years before symptoms

A new eye test may predict wet age-related macular degeneration, a leading cause of severe sight loss, three years before symptoms develop.

Star Trek: DNA “tricorder” for your pocket

Scientists developed the world’s first mobile genome sequence analyzer, a new iPhone app called iGenomics.

Computer simulation will accelerate development of 'smart robots'

Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"

Smartwatch can detect early signs of illness

Researchers have developed a smartwatch app designed to alert users when their bodies show signs of fighting an infection, such as elevated heart rate.

COVID-19: AI platform finds best combination of available therapies

An AI platform derives an optimal combination of available therapies against SARS-CoV-2 - the optimal drug therapy was a combination of the drugs remdesivir, ritonavir, and lopinavir at specific doses.

Deep learning-based image segmentation

Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.

Wearable may signal you're developing COVID-19

A smart ring that generates continuous temperature data may foreshadow COVID-19, even in cases when infection is not suspected.

AI sees and hears COVID-19 in your lungs

Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.

Detecting dementia with the help of computer avatars

Using machine learning, a group of researchers demonstrated that it was possible to detect dementia from conversations in human-agent interaction.

Opening the ‘black box’ of AI

AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.

Robot hands one step closer to human

The Shadow Robot Dexterous Hand is a robot hand, with size, shape and movement capabilities similar to those of a human hand.

Breath gas analysis detects cancer

Researchers are developing solutions designed to enable the analysis of breath gas to assist with the diagnosis of disease.

Machine learning system crack COVID-19 genome signature

Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.

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