Take Your Eyes Off Your Mobile Phone, Says Inventor

People sometimes just spend too long staring at their phone, even when they are walking along the street, says Cooper. AFP
People sometimes just spend too long staring at their phone, even when they are walking along the street, says Cooper. AFP
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Take Your Eyes Off Your Mobile Phone, Says Inventor

People sometimes just spend too long staring at their phone, even when they are walking along the street, says Cooper. AFP
People sometimes just spend too long staring at their phone, even when they are walking along the street, says Cooper. AFP

The problem with mobile phones is that people look at them too much. At least, that's according to the man who invented them 50 years ago.

Martin Cooper, an American engineer dubbed the "Father of the cell phone," says the neat little device we all have in our pockets has almost boundless potential and could one day even help conquer disease.

But right now, we can be a little obsessed.

"I am devastated when I see somebody crossing the street and looking at their cell phone. They are out of their minds," the 94-year-old told AFP from his office in Del Mar, California.

"But after a few people get run over by cars, they'll figure it out," he joked.

Cooper wears an Apple Watch and uses a top-end iPhone, flicking intuitively between his email, photos, YouTube and the controls for his hearing aid.

He gets his hands on the latest model every time it is updated, and gives it a thorough road test.

But, he confesses, with several million apps available, it can all feel a bit much.

"I will never, ever understand how to use the cell phone the way my grandchildren and great grandchildren do," he says.

Cooper's iPhone -- which he says he likes to use mostly to speak to people -- is certainly a very long way from the weighty block of wires and circuits that he used to make the very first mobile phone call on April 3, 1973.

At the time he was working for Motorola, leading a team of designers and engineers who were engaged in a sprint to come up with the first properly mobile technology and avoid being squeezed out of an up-and-coming market.

The company had invested millions of dollars in the project, hoping to beat out Bell System, a behemoth that dominated US telecoms for more than a century from its inception in 1877.

Bell's engineers had floated the idea of a cellular phone system just after World War II, and by the late 1960s had taken it as far as putting phones in cars -- partially because of the huge battery they needed.

But for Cooper, that didn't represent real mobility.

At the tail end of 1972, he decided he wanted a device that you could use anywhere.

So with the entire resources of Motorola at his disposal, he pulled together experts on semiconductors, transistors, filters and antennae who worked around the clock for three months.

By the end of March, they had cracked it, unveiling the DynaTAC -- Dynamic Adaptive Total Area Coverage -- phone.

"This phone weighed over a kilo -- about two and a half pounds -- and had a battery life of roughly 25 minutes of talking," he said.

"That was not a problem. This phone was so heavy, you couldn't hold it up for 25 minutes."

That very first phone call didn't have to be long. It just had to work.

And who better for Cooper to call than his rival?

"So here I am standing on Sixth Avenue (in New York) And it occurred to me I had to call my counterpart at the The Bell System... Dr Joel Engel

"And I said, 'Joel, this is Martin Cooper... I'm talking to you on a handheld cell phone. But a real cell phone, personal, portable, handheld.'

"There was silence on the other end of the line. I think he was gritting his teeth."

Those first mobile phones were not cheap at around $5,000 per handset, but they granted early adopters -- who Cooper says included people trying to sell property -- an edge.

"It turns out that what real estate people do is they show people houses, or they answer the phone for new clients.

"Now they could do both at the same time; it doubled their productivity."

And mobile phones continue to improve people's lives.

"The cell phone has now become an extension of the person, it can do so many more things," he said.

"And in that regard, we are just at the very beginning. We're just starting to understand what that could do.

"In the future, we can expect the cell phone to revolutionize education, it will revolutionize healthcare.

"I know that sounds like an exaggeration, but I want you to know within a generation or two, we are going to conquer disease."

Just like his watch monitors his heartrate while he swims, and his phone monitors his hearing aids, phones will one day be connected to an array of bodily sensors that will catch illness before it develops, he says.

It's all a long way from where it started with that monster handset, but while he didn't envisage every development, Cooper always knew the device he and his team came up with would change the world.

"We really knew that everybody someday would have a cell phone. We're almost there.

"There are more mobile phone subscriptions in the world today than there are people. So that part of our dream has come true."

As for the problem of people gawping at their phones too much -- even as they cross the road -- he's not worried.

New technology often throws up challenges.

"When television first came out, people were just hypnotized.

"But we somehow... managed to understand that there is a quality associated with looking at a television."

Right now, we're at the mindless staring phase with our phones, he says, but that won't last.

"Each generation is going to be smarter... They will learn how to use the cell phone more effectively.

"Humans sooner or later figure it out."



Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
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Meta Shares Skyrocket, Microsoft Slides on Wall Street after Earnings

A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson
A Microsoft logo is seen a day after Microsoft Corp's $26.2 billion purchase of LinkedIn Corp, in Los Angeles, California, US, June 14, 2016. REUTERS/Lucy Nicholson

Shares in Meta skyrocketed by 10 percent at opening on Wall Street on Thursday, a day after the social media giant posted better than expected earnings as the company invests heavily in artificial intelligence.

Microsoft, whose earnings disappointed analysts, saw its share price tumble by 10 percent, with investors showing concern for the return on investment for the software giant's spending on AI.


Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
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Samsung Logs Best-ever Profit on AI Chip Demand

South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File
South Korean tech giant Samsung Electronics posted record quarterly profits on Thursday, riding strong market demand for its artificial intelligence chips. Jung Yeon-je / AFP/File

South Korean tech giant Samsung Electronics posted record quarterly profits Thursday, riding massive market demand for the memory chips that power artificial intelligence.

A global frenzy to build AI data centers and develop the fast-evolving technology has sent orders for advanced high bandwidth memory microchips soaring.

That is also pushing up prices for less flashy chips used in consumer electronics -- threatening higher prices for phones, laptops and other devices worldwide.

In the quarter to December 2025, Samsung said it saw "its highest-ever quarterly consolidated revenue at KRW 93.8 trillion (US$65.5 billion)", a quarter-on-quarter increase of nine percent.

"Operating profit was also an all-time high, at KRW 20.1 trillion," the company said.

The dazzling earnings came a day after a key competitor, South Korean chip giant SK hynix, said operating profit had doubled last year to a record high, also buoyed by the AI boom.

The South Korean government has pledged to become one of the top three AI powers, behind the United States and China, with Samsung and SK hynix among the leading producers of high-performance memory.

Samsung said Thursday it expects "AI and server demand to continue increasing, leading to more opportunities for structural growth".

Annual revenue stood at 333.6 trillion won, while operating profit came in at 43.6 trillion won. Sales for the division that oversees its semiconductor business rose 33 percent quarter-on-quarter.

The company pointed to a $33.2 billion investment in chip production facilities -- pledging to continue spending in "transitioning to advanced manufacturing processes and upgrading existing production lines to meet rising demand".

- 'Clearly back' -

Major electronics manufacturers and industry analysts have warned that chipmakers focusing on AI sales will cause higher retail prices for consumer products across the board.

This week US chip firm Micron said it was building a $24 billion plant in Singapore in response to AI-driven demand that has caused a global shortage of memory components.

SK hynix announced Wednesday that its operating profit had doubled last year to a record 47.2 trillion won.

The company's shares have surged some 220 percent over the past six months, while Samsung Electronics has risen about 130 percent, part of a huge global tech rally fueled by optimism over AI.

Both companies are on the cusp of producing next-generation high-bandwidth "HBM4" chips for AI data centers, with Samsung reportedly due to start making them in February.

American chip giant Nvidia -- now the world's most valuable company -- is expected to be one of Samsung's customers for HBM4 chips.

But Nvidia has reportedly allocated around 70 percent of its HBM4 demand to SK hynix for 2026, up from the market's previous estimate of 50 percent.

"Samsung is clearly back and we are expecting them to show a significant turnaround with HBM4 for Nvidia's new products -- helping them move past last year's quality issues," Hwang Min-seong, research director at market analysis firm Counterpoint, told AFP.

But SK still "maintains a market lead in both quality and supply" of a number of key components, including Dynamic Random Access Memory chips used in AI servers, he said.

SK also this week said it will set up an "AI solutions firm" in the United States, committing $10 billion and weighing investments in US companies.


Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
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Google Unveils AI Tool Probing Mysteries of Human Genome

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)

Google unveiled an artificial intelligence tool Wednesday that its scientists said would help unravel the mysteries of the human genome -- and could one day lead to new treatments for diseases.

The deep learning model AlphaGenome was hailed by outside researchers as a "breakthrough" that would let scientists study and even simulate the roots of difficult-to-treat genetic diseases.

While the first complete map of the human genome in 2003 "gave us the book of life, reading it remained a challenge", Pushmeet Kohli, vice president of research at Google DeepMind, told journalists.

"We have the text," he said, which is a sequence of three billion nucleotide pairs represented by the letters A, T, C and G that make up DNA.

However, "understanding the grammar of this genome -- what is encoded in our DNA and how it governs life -- is the next critical frontier for research," said Kohli, co-author of a new study in the journal Nature.

Only around two percent of our DNA contains instructions for making proteins, which are the molecules that build and run the body.

The other 98 percent was long dismissed as "junk DNA" as scientists struggled to understand what it was for.

However, this "non-coding DNA" is now believed to act like a conductor, directing how genetic information works in each of our cells.

These sequences also contain many variants that have been associated with diseases. It is these sequences that AlphaGenome is aiming to understand.

- A million letters -

The project is just one part of Google's AI-powered scientific work, which also includes AlphaFold, the winner of 2024's chemistry Nobel.

AlphaGenome's model was trained on data from public projects that measured non-coding DNA across hundreds of different cell and tissue types in humans and mice.

The tool is able to analyze long DNA sequences then predict how each nucleotide pair will influence different biological processes within the cell.

This includes whether genes start and stop and how much RNA -- molecules which transmit genetic instructions inside cells -- is produced.

Other models already exist that have a similar aim. However, they have to compromise, either by analyzing far shorter DNA sequences or decreasing how detailed their predictions are, known as resolution.

DeepMind scientist and lead study author Ziga Avsec said that long sequences -- up to a million DNA letters long -- were "required to understand the full regulatory environment of a single gene".

And the high resolution of the model allows scientists to study the impact of genetic variants by comparing the differences between mutated and non-mutated sequences.

"AlphaGenome can accelerate our understanding of the genome by helping to map where the functional elements are and what their roles are on a molecular level," study co-author Natasha Latysheva said.

The model has already been tested by 3,000 scientists across 160 countries and is open for anyone to use for non-commercial reasons, Google said.

"We hope researchers will extend it with more data," Kohli added.

- 'Breakthrough' -

Ben Lehner, a researcher at Cambridge University who was not involved in developing AlphaGenome but did test it, said the model "does indeed perform very well".

"Identifying the precise differences in our genomes that make us more or less likely to develop thousands of diseases is a key step towards developing better therapeutics," he explained.

However, AlphaGenome "is far from perfect and there is still a lot of work to do", he added.

"AI models are only as good as the data used to train them" and the existing data is not very suitable, he said.

Robert Goldstone, head of genomics at the UK's Francis Crick Institute, cautioned that AlphaGenome was "not a magic bullet for all biological questions".

This was partly because "gene expression is influenced by complex environmental factors that the model cannot see", he said.

However, the tool still represented a "breakthrough" that would allow scientists to "study and simulate the genetic roots of complex disease", Goldstone added.