Meteorologists have gotten pretty damn good at forecasting a hurricane's track. But they still struggle to calculate when it will intensify, as it's seriously hard to understand what's happening inside a tropical cyclone. A new machine learning model developed by NASA could dramatically improve their calculations, and give people in a hurricane's path more time to prepare. Scientists at the space agency's Jet Propulsion Laboratory in Southern California developed the system after searching through years of satellite data. They discovered three strong signals that a hurricane will become more severe: abundant rainfall inside the storm's inner core; the amount of ice water in the clouds within the tropical cyclone; and the temperature of the air flowing away from the eye of the hurricane. The team then used IBM Watson Studio to build a model that analyzes all these factors, as well as those already used by the National Hurricane Center, a US government agency that monitors hazardous tropical weather.

Every new "Call of Duty" multiplayer update comes with some waves of disappointing from the community. Last year, people complained about "Modern Warfare" moving too slow. After some tweaks, people were happy. So the return to the fast reaction times of "Black Ops" multiplayer might come as a disappointment to some, and welcome news for others. Snipers will cheer the return of faster aim down sights speeds, making quick scope kills easier.

Every few months, the U.S. National Institute of Standards and Technology (NIST) releases the results of benchmark tests it conducts on facial recognition algorithms submitted by companies, universities, and independent labs. A portion of these tests focus on demographic performance -- that is, how often the algorithms misidentify a Black man as a white man, a Black woman as a Black man, and so on. Stakeholders are quick to say that the algorithms are constantly improving with regard to bias, but a VentureBeat analysis reveals a different story. In fact, our findings cast doubt on the notion that facial recognition algorithms are becoming better at recognizing people of color. That isn't surprising, as numerous studies have shown facial recognition algorithms are susceptible to bias.

Your report on the use of robots in care homes follows a familiar and dispiriting pattern (Robots to be used in UK care homes to help reduce loneliness, 7 September). Interventions of all kinds, from art groups to yoga, have been shown to improve residents' mood and mental state, at least temporarily. Most of these interventions clearly have their own intrinsic value, but what most studies fail to account for is the grim and barren social environment that residents too commonly inhabit. Field work has shown that loneliness, isolation and a lack of human interaction is all too common within care homes. These places are generally understaffed and this is the result of chronic underfunding of the care sector.

With BREXIT, a huge opportunity is provided to the artificial intelligence market of UK for flourishing. With only five weeks left before the United Kingdom and European Union can plan out a strategy that would ensure free trade, the changes with BREXIT are inevitable. The UK is already in a transition period until December 31, 2020, with a looming free trade deal, that will be decision-maker regarding the fate of trade relations between UK and EU. However, with all the unprecedented changes that are involved with BREXIT, technology has been observed as a blooming future. Experts believe that despite the many implications and reformations associated with BREXIT, AI has the potential for revolutionising industry in the near future. The BREXIT is an abbreviation for Britains Exit from European Union.

Wading through waist-deep water, residents of the al-Shigla neighbourhood in Omdurman, twin city of Sudan's capital Khartoum, tried to rescue what was left of their possessions as they floated by. Others stood by in despair, observing the aftermath of days of torrential rains that brought record-breaking flash floods to the country where the Blue and White Niles join to become the Nile River. Pieces of furniture, broken tiles, damaged vehicles and more were washed away by this year's rain that fell profusely and continuously for nearly two weeks. The rain and flooding exceeded records set in 1946 and 1988, killing more than 100 people and forcing the government to declare a three-month state of emergency this week. To many Sudanese like Amna Ahmed, seasonal rains, in and of themselves, are nothing new.

The UK government's recent technological mishaps has seemingly left a bitter taste in the mouth of many British citizens. A new report from the British Computer Society (BCS), the Chartered Institute for IT, has now revealed that more than half of UK adults (53%) don't trust organisations that use algorithms to make decisions about them. The survey, conducted with more than 2,000 respondents, comes in the wake of a tumultuous summer, shaken by student uproar after it emerged that the exam regulator Ofqual used an unfair algorithm to predict A-level and GCSE results, after the COVID-19 pandemic prevented exams from taking place. Ofqual's algorithm effectively based predictions on schools' previous performances, leading to significant downgrades in results that particularly affected state schools, while favoring private schools. The government promptly backtracked and allowed students to adopt teacher-predicted grades rather than algorithm-based results.

In the wrong hands, AI is proving dangerous. In an age where everything is becoming connected and data is regarded as a business's most valuable commodity, cybersecurity continues to diversify in a hyper-competitive marketplace. Set to hit a worth of US$248 billion by 2023, the prosperity of the sector is down to the constant growth and mutations of cyberthreats, which every year demands higher caliber weaponry with either better precision or a wider spread. Cybercrime, today, is where the money is. The tools to enact it are widely available even to non-technical individuals.

If data is the new oil, TikTok is a gusher. It has some 100 million users in the U.S. alone. Its AI, particularly its recommendation engine, is credited with driving engagement and the app's growth to nearly 700 billion users worldwide. When President Trump signed an executive order banning the Chinese-owned app last month, he pointed out why TikTok is especially valuable. The short-form video social media application collects "vast swaths of information from its users," Trump's executive order said.

After an explosive report by the Washington Post in 2014 detailing tens of thousands of veterans waiting for care as VA employees were allegedly directed to manipulate records, some things have changed. This April, veteran trust in the VA reached 80 percent, up 19 percent since January 2017, according to the agency. And the former chief of staff for the Veterans Experience Office is now working for Medallia, a customer experience management company. He is the solutions principal for public sector and health care, and he helped launch the Veterans Signals program in partnership with the VA.