Lifeboat Foundation

Fred Moll started a $50 billion robotics company. Now he has FDA approval for a device a doctor sends into the lungs to detect cancer. His ultimate goal: Get rid of the doctor.

Artificial intelligence, Fintech and HealthTech offer areas where UK can lead the world — will Britain develop the world’s first trillion dollar company?

India’s artificial intelligence journey could get a big boost this year.

The National Institution for Transforming India (NITI) Aayog is reportedly going to release a first-ever national policy on AI directly rivalling whatever’s going on in China on the subject. The policy will chalk out the scope of AI via research and how the technology will be adopted in the years to come.

According to an Economic Times report, NITI Aayog will form the policy with short, medium and long term goals in mind, spread up to 2030.

Continue reading “Niti Aayog Chalking Out Much Needed Policy on AI for India” »

An international team of researchers recently unveiled an algorithm that can be scaled to simulate the human brain’s entire neural network. But there’s a slight catch.

Researchers find machine learning can classify heart anatomy on an ultrasound scan faster, more accurately and more efficiently than a human.

On the Right Track

In the final analysis, while IBM clearly has more work to do, it’s on the right track. Its investments in cloud and AI are already paying off, while blockchain and quantum computing bets are looking promising.

Furthermore, while IBM’s progress overall is clearly a massive team effort, Big Blue’s execution is due in large part to Rometty’s six years of leadership.

Continue reading “IBM Bets Company On Exponential Innovation In AI, Blockchain, And Quantum Computing” »

Intelligent Machines

AI tackles the Vatican’s secrets

Even church archivists don’t know what mysteries lie hidden in the Vatican Secret Archives, since many of its documents have never been transcribed. A machine-vision system for medieval text is about to change that.

Continue reading “AI tackles the Vatican’s secrets” »

Robots, including floating spheres and spacewalkers, are performing critical tasks for astronauts and researchers as we speak.

The basic physics of earthquakes is such that strong ground motion cannot be expected from an earthquake unless the earthquake itself is very close or has grown to be very large. We use simple seismological relationships to calculate the minimum time that must elapse before such ground motion can be expected at a distance from the earthquake, assuming that the earthquake magnitude is not predictable. Earthquake early warning (EEW) systems are in operation or development for many regions around the world, with the goal of providing enough warning of incoming ground shaking to allow people and automated systems to take protective actions to mitigate losses. However, the question of how much warning time is physically possible for specified levels of ground motion has not been addressed. We consider a zero-latency EEW system to determine possible warning times a user could receive in an ideal case. In this case, the only limitation on warning time is the time required for the earthquake to evolve and the time for strong ground motion to arrive at a user’s location. We find that users who wish to be alerted at lower ground motion thresholds will receive more robust warnings with longer average warning times than users who receive warnings for higher ground motion thresholds. EEW systems have the greatest potential benefit for users willing to take action at relatively low ground motion thresholds, whereas users who set relatively high thresholds for taking action are less likely to receive timely and actionable information.

Earthquake early warning (EEW) systems rapidly detect and characterize ongoing earthquakes in real time to provide advance warnings of impending ground motion. They use the information contained in the early parts of the typically low-amplitude ground motion waveforms to estimate the ensuing and potentially large-amplitude ground motion. Because EEW alert information can be transmitted faster than seismic wave propagation speed, such ground motion warnings may arrive at a target site before the strong shaking itself, thereby providing invaluable time for both people and automated systems to take actions to mitigate earthquake-related injury and losses. These actions might range from simple procedures like warning people to get themselves to a safe location to complex automated procedures like halting airport takeoffs and landings.