The advent of ChatGPT seems to represent a quantum leap in the capacity of artificial intelligence (AI) to reshape the world we live in. Things are moving quickly, and organisations must begin now to think about how they can harness the power of AI to improve their performance beyond what basic process automation has long made possible. Customer service is especially ripe for the kind of improvements that AI can bring. Whether for providers of consumer goods or services ranging from healthcare to insurance and financial products--customer service operations have long been plagued by chronic inefficiencies. AI can help to reverse that.

Whether these new AI technologies are ready for prime time remains a wide-open question. Even assuming these early bugs are worked out, a host of thorny business and legal challenges remain, as we've been writing about. Whether these new AI technologies are ready for prime time remains a wide-open question. Even assuming these early bugs are worked out, a host of thorny business and legal challenges remain, as we've been writing about.

Artificial intelligence is to be used to check if carers are likely to quit their jobs. Any issues employees have had with pay, punctuality, or problems with their manager will be among the data fed into the algorithm. The technology is meant to combat the staffing crisis in social care by giving bosses an early chance to persuade workers to stay. Private healthcare company Cera claims its AI could prevent around 50,000 staff leaving every year. The firm said it has been shown to detect carers who are at risk of quitting three times more accurately than human managers can.

Google is set to unveil how it plans to rival the wildly successful ChatGPT AI, possibly within days. The technology giant has scheduled a 40-minute event for Wednesday 8 February, when it will reveal how it is "reimagining how people search for, explore and interact with information". It's not clear whether the event will be AI-focused, but it comes days comes after Google's chief Sundar Pichai announced that the firm will make its chatbot technology available publicly in the coming weeks. Speaking on a call with investors in parent company Alphabet on Thursday, Mr Pichai said people will be able to "engage directly" with Google's conversational AI - starting with one called LaMDA, which has been in testing. Google has reportedly been fast-tracking its plans for so-called large language models since ChatGPT's launch. ChatGPT itself is one such model - an AI chatbot trained on a huge amount of text data, which

"The main advantage of our method is the speed of predictions, which is crucial for early warning," explained Iyan Mulia, the work's lead and a scientist at RIKEN. "Conventional tsunami modeling provides predictions after 30 minutes, which is too late. But our model can make predictions within seconds." To achieve this, the coast now boasts the world's largest network of sensors for monitoring the movement of the ocean floor. About 150 offshore stations make up this network and work together in order to provide early warnings of tsunamis. To function effectively, however, the data generated by the sensors needs to be converted into tsunami heights and extents along the coastline.

In South Korea, these sleepless nights happen in many places because of the noise from upstairs neighbors. Living in the apartment units means dealing with a level of noise from the neighborhood on a daily basis. The Korea Institute of Civil Engineering and Building Technology has announced a new approach for predicting the footstep sounds of upstairs residents using a convolutional neural network (CNN) model based on vibration signals. The CNN models are widely applied in computer vision tasks. The vibration sensors are designed to be installed on the wall and floor slab of a residential building to monitor footstep-induced vibration in real–time.

Scientists from the University of Texas have developed a new AI model that can scan brains and read minds. It was developed with a hardship of over 7-years with an aim to help read the minds of people who cannot speak. The technology behind this new mode of communication decoding is called Functional Magnetic Resonance Imaging (fMRI) that conceptualizes arbitrary stimuli that a person's brain is grasping or analyzing as a natural language in real-time. In simple terms, scientists can scan three parts of the brain and feed that data scan to ML algorithms to analyze the natural language circulating in a person's mind. This can be achieved with the help of electrodes that are planted on the forehead or the shaved head of a person to read a subject's thoughts.

The French taxman has now raked in millions of euros from homeowners who failed to report the facilities. New AI software by Google and Capgemini is able to spot pools using aerial imagery which is then cross-checked with land registry databases. During a trial run last year looking at nine French regions the software detected more than 20,000 pools, which led to the collection of some 10 million euros in tax revenue. Since pools boost property values they usually lead to higher property and residency taxes. Private pool sales had already been surging in France before the Covid pandemic, which saw a boom in installations as millions of employees began working from home more often.

A research group from Nagoya University in Japan has developed an artificial intelligence for analyzing cell images that uses machine learning to predict the therapeutic effect of drugs. Called in silico FOCUS, this new technology may aid in the discovery of therapeutic agents for neurodegenerative disorders such as Kennedy disease. Current treatments for neurodegenerative diseases often have harsh side effects, including sexual dysfunction and blocking muscle tissue formation. However, researchers searching for new, less harmful treatments have been hindered by the lack of effective screening technologies to discern whether a drug is effective. One promising concept is the'anomaly discrimination concept', meaning neurons that respond to treatment have slight differences in shape compared to those that do not.

Microsoft debuted a slew of new AI technologies at their annual Ignite conference. One of the most interesting is an AI system called "PeopleLens." PeopleLens is a platform that uses computer vision algorithms to help blind people engage with their social surroundings. The system is designed to identify and interpret objects in the user's environment and relay those details back to the user in a way that they can understand. This opens a world of possibilities for blind people, who until now have been largely cut off from social interaction. With PeopleLens, they can now participate in conversations, navigate their surroundings, and generally experience the world in a way that was once impossible.