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Better than AI? The UK police who never forget a face

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Better than AI? The UK police who never forget a face

Artificial intelligence and facial recognition software are seen by some as the future of crime-fighting around the world.

But British police say it has to go hand in hand with more traditional methods of detection, including the use of so-called “super-recognisers”.

Forces across the country have been using officers who have an exceptional memory for faces and an above-average ability to identify people.

Only one percent of the population has the “super-power”, said Tina Wallace, a surveillance expert with Thames Valley Police.

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Her team began recruiting the specialist officers in 2017 and now have about 20 on their books, including Alex Thorburn, an officer for 17 years.

“I’ve always been good with faces. So when they put a notice out about the tests, I did it!” Thorburn told AFP.

“I was shown pictures, dated between 10 and 30 years old, of 10 people. I had to find them in the crowd in the shopping centre.

“I found them all, but they looked a lot different to how they did in the photos. That was really interesting.”

The team works on screens, using security camera footage, but is also sent out into the field.

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For the coronation of King Charles III, Thorburn was sent out into the crowds at Windsor Castle, west of London.

“We were deployed… to go and see if there were any people who were fixated with the royal family,” she recalled.

“We were shown quite a large number of images to see if they were there and they’re going to cause any problems. But luckily, we didn’t have any.”

“It’s a cheap and effective way to tackle crime,” said Mike Neville, who set up the first team of super-recognisers at London’s Metropolitan Police.

Now retired, Neville runs Super Recognisers International, which bills itself as “the world leaders in human recognition”.

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Successes
One of the first major successes was in 2011, during the widespread rioting sparked by the death of a black man shot dead by police in London.

Police had to scour some 200,000 hours of security camera footage.

“Twenty officers identified 600 of the London rioters,” said Josh Davis, a professor in applied psychology at the University of Greenwich.

One police officer who was an expert on gangs recognised an astonishing 180 offenders by analysing the images.

Some he had never seen in person. Others had part of their faces hidden, said Davis, who is a member of Neville’s association.

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Thames Valley Police covers more than 2,200 square miles (5,700 square kilometres) west and northwest of London with a population of 2.34 million.

It is deploying its “super-recognisers” at set times outside bars and nightclubs to spot known perpetrators of sexual assault.

“We use officers in plainclothes and they’re looking for specific behaviours,” explained Wallace, a police officer for 26 years, at the force’s training centre near Reading.

“When we see a predatory behaviour, we call in the uniform team to stop it happening.

“Two in every five men we stopped have got previous convictions for rape or serious sexual assault. We’ve stopped 520 in three years.”

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No competition
As AI and facial recognition technology develops at pace, human skills should not be discounted, insisted Neville.

“It isn’t really a competition with facial recognition,” he said. “They can be used together.

“AI is good with high-quality, front-on images (as with passports at airport e-gates).

“Humans are better with lower quality images, where the face is at an angle or partly covered with sunglasses or a mask.”

“Also note that under UK and EU law, AI identifications have to be verified by a human before an arrest is made.

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“Most people, in a democracy, would be happier if people made the decision to detain someone, rather than a computer.”

According to Neville, demand for super-recognisers is growing, particularly from police forces in Germany and Australia.

Professor Davis has posted a basic 14-point test online for anyone curious to check if they have the powers of recall that makes them a super-recogniser.

“If you get less than 10 or 12, you are not going to be a super-recogniser,” he said.

“But if you reach 14, contact me please!”

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Microsoft to invest 2.2bn dollars in cloud and AI services in Malaysia

Microsoft to invest 2.2bn dollars in cloud and AI services in Malaysia

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Microsoft to invest 2.2bn dollars in cloud and AI services in Malaysia

Microsoft (MSFT.O) said on Thursday it will invest $2.2 billion over the next four years in Malaysia to expand cloud and artificial intelligence (AI) services in the company’s latest push to promote its generative AI technology in Asia.

The investment, the largest in Microsoft’s 32-year history in Malaysia, will include building cloud and AI infrastructure, creating AI-skilling opportunities for 200,000 people, and supporting the country’s developers, the company said.

“We want to make sure we have world class infrastructure right here in the country so that every organisation and start-up can benefit,” Microsoft Chief Executive Satya Nadella said during a visit to Kuala Lumpur.

Microsoft will also work with the Malaysian government to establish a national AI Centre of Excellence and enhance the nation’s cybersecurity capabilities, the company said in a statement.

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Prime Minister Anwar Ibrahim, who met Nadella on Thursday, said the investment supported Malaysia’s efforts in developing its AI capabilities.

Microsoft is trying to expand its support for the development of AI globally. Nadella this week announced a $1.7 billion investment in neighbouring Indonesia and said Microsoft would open its first regional data centre in Thailand.

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Nvidia supplier SK Hynix says HBM chips almost sold out for 2025

Nvidia supplier SK Hynix says HBM chips almost sold out for 2025

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Nvidia supplier SK Hynix says HBM chips almost sold out for 2025

South Korea’s SK Hynix (000660.KS) said on Thursday that its high-bandwidth memory (HBM) chips used in AI chipsets were sold out for this year and almost sold out for 2025 as businesses aggressively expand artificial intelligence services.

“The HBM market is expected to continue to grow as data and (AI) model sizes increase,” Chief Executive Officer Kwak Noh-Jung told a news conference. “Annual demand growth is expected to be about 60% in the mid-to long-term.”

SK Hynix which competes with U.S. rival Micron (MU.O) and domestic behemoth Samsung Electronics (005930.KS) in HBM was until March the sole supplier of HBM chips to Nvidia, according to analysts who add that major AI chip purchasers are keen to diversify their suppliers to better maintain operating margins. Nvidia commands some 80% of the AI chip market.

Micron has also said its HBM chips were sold out for 2024 and that the majority of its 2025 supply was already allocated. It plans to provide samples for its 12-layer HBM3E chips to customers in March.

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“As AI functions and performance are being upgraded faster than expected, customer demand for ultra-high-performance chips such as the 12-layer chips appear to be increasing faster than for 8-layer HBM3Es,” said Jeff Kim, head of research at KB Securities.

Samsung Electronics (005930.KS) which plans to produce its HBM3E 12-layer chips in the second quarter, said this week that this year’s shipments of HBM chips are expected to increase more than three-fold and it has completed supply discussions with customers. It did not elaborate further.

Last month, SK Hynix announced a $3.87 billion plan to build an advanced chip packaging plant in the U.S. state of Indiana with an HBM chip line and a 5.3 trillion won ($3.9 billion) investment in a new DRAM chip factory at home with a focus on HBMs.

Kwak said investment in HBM differed from past patterns in the memory chip industry in that capacity is being increased after making certain of demand first.

By 2028, the portion of chips made for AI, such as HBM and high-capacity DRAM modules, is expected to account for 61% of all memory volume in terms of value from about 5% in 2023, SK Hynix’s head of AI infrastructure Justin Kim said.

Last week, SK Hynix said in a post-earnings conference call that there may be a shortage of regular memory chips for smartphones, personal computers and network servers by the year’s end if demand for tech devices exceeds expectations.

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The Nvidia (NVDA.O) supplier and the world’s second-largest memory chipmaker will begin sending samples of its latest HBM chip, called the 12-layer HBM3E, in May and begin mass producing them in the third quarter.

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Qualcomm jumps as AI sparks rebound in Chinese smartphone market

Qualcomm jumps as AI sparks rebound in Chinese smartphone market

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Qualcomm jumps as AI sparks rebound in Chinese smartphone market

Qualcomm (QCOM.O) shares rose 4% in premarket trading on Thursday after the smartphone-focused chipmaker signaled an AI-fueled rebound in demand, especially in China, after a two-year slump.

Sales to Chinese smartphone makers jumped 40% in the first half of its fiscal year, the company said on Wednesday, as buyers there gravitate toward higher-priced devices that can accommodate AI chatbots.

“Chinese vendors who traditionally relied more on MediaTek, are going to start leveraging Qualcomm’s high-end chips more as they push hard into the AI Agenda,” said IDC analyst Nabila Popal.

“They further represent an upside for Qualcomm because majority of the recovery is also going to be driven by Chinese OEMs this year, coming from a tough last two years.”

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Qualcomm on Wednesday projected third-quarter sales that were above estimates as it also benefits from its IoT (Internet of things) and auto segments.

The company, the biggest supplier of smartphone chips, was on course to add more than $8 billion to its market value based on premarket movements. Other semiconductor firms such as Arm and Broadcom (AVGO.O) rose 2.8% and 2.4%, respectively.

According to preliminary data from research firm IDC, in the high-end segment, the AI buzz and the foldable products allowed the Android smartphone vendors to further differentiate themselves from Apple (AAPL.O) and garnered increased interest from Chinese consumers in the first quarter of 2024.

“We’re optimistic that numbers can be driven higher, given last year’s muted Android cycle and the likelihood of IoT(internet of things) improvement as inventory normalizes,” analysts at Wolfe Research said.

At least 14 analysts raised their price targets on Qualcomm, according to LSEG data.

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Qualcomm’s shares have gained 13.5% this year following a 31.5% rise in 2023.

Shares of Apple, which is set to report earnings after market closes on Thursday, were up 1.05% in premarket trading.

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