Toggle light / dark theme

Researchers in the US developed a new energy-based benchmark for quantum advantage and used it to demonstrate noisy intermediate-scale quantum (NISQ) computers that use several orders of magnitude less energy than the world’s most powerful supercomputer. Quantum computing is a branch of computer science that focuses on the development of technologies based on quantum theory principles.

Quantum computing solves problems that are too complex for classical computing by utilizing the unique properties of quantum physics. The question of whether a quantum computer can perform calculations beyond the reach of even the most powerful conventional supercomputer is becoming increasingly relevant as quantum computers become larger and more reliable. This ability, dubbed “quantum supremacy,” marks the transition of quantum computers from scientific curiosity to useful devices. Scientists predict that Quantum computing is better than supercomputers as it performs tasks a million times faster. Quantum computers can handle complex calculations easily because they are built based on quantum principles that go beyond classical physics.

Quantum computers and supercomputers are extremely powerful machines used for complex calculations, problem solving, and data analysis. While both have the potential to revolutionize computing technology, they have significant speed and capability differences. In 2019, Google’s quantum computer performed a calculation that would take the world’s most powerful computer 10,000 years to complete. It is the seed for the world’s first fully functional quantum computer, which will be capable of producing better medicines, developing smarter artificial intelligence, and solving cosmic mysteries. Theoretical physicist John Preskill proposed a formulation of quantum supremacy, or the superiority of quantum computers, in 2012. He dubbed it the moment when quantum computers can perform tasks that ordinary computers cannot. To quickly crunch large amounts of data and achieve a single result, supercomputers employ a traditional computing approach with multiple processors.

Summary: Researchers explain how deep neural networks are able to learn complex physics.

Source: Rice University.

One of the oldest tools in computational physics — a 200-year-old mathematical technique known as Fourier analysis — can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study.

ICON has also completed a series of 3D-printed homes in Tabasco, Mexico. The company partnered with charity New Story in order to build 500 square-foot (47 square-metre) houses for families in need of shelter.

This community of homes withstood a 7.4 magnitude earthquake in June 2020 with no visible damage.

The Texan construction technology company is collaborating with BIG on a robotic construction project for the Moon.


Construction technology company ICON is making four 3D-printed houses in Austin, Texas, from concrete that’s designed to cope with extreme weather.

If you ask it the right questions, ChatGPT represents an incredible resource and tool. And people noticed fast — within five days it gained over 1 million users, and now Microsoft is in talks for a potential $10 billion investment in the company.

As a reporter, the hype surrounding the AI tool intrigued me, and a colleague of mine said it’s journalism chops were convincing (though only if you didn’t squint too hard to notice articles were riddle with misinformation).

Knowing that ChatGPT’s database cut off in 2021, I asked it to write a stock market story about trading trends in 2020, and in less than one minute it spat out a 400-word story that mapped out S&P 500 moves, meme stocks, and shares that rallied during the early days of the pandemic.

Science fiction films love to show off huge leaps in technology. The latest Avatar movie features autonomous, spider-like robots that can build a whole city within weeks. There are space ships that can carry frozen passengers lightyears away from Earth. In James Cameron’s imagination, we can download our memories and then upload them into newly baked bodies. All this wildly advanced tech is controlled through touch-activated, transparent, monochrome and often blue holograms. Just like a thousand other futuristic interfaces in Hollywood.

When we are shown a glimpse of the far future through science fiction films, there are omnipresent voice assistants, otherworldly wearables, and a whole lot of holograms. For whatever reason these holograms are almost always blue, floating above desks and visible to anyone who might stroll by. This formula for futuristic UI has always baffled me, because as cool as it looks, it doesn’t seem super practical. And yet, Hollywood seems to have an obsession with imagining future worlds washed in blue light.

Perhaps the Hollywood formula is inspired by one of the first holograms to grace the silver screen: Princess Leia telling Obi-Wan Kenobi that he is their only hope. Star Wars served as an inspiration for future sci-fi ventures, so it follows that other stories might emulate the original. The Avatar films have an obvious penchant for the color blue, and so the holograms that introduce us to the world of Pandora and the native Na’vi are, like Leia, made out of blue light.

FRIDA can create finger paintings based on human inputs, photographs, and music.

“AI is the future!” is a statement of the past now, as AI is no longer the future but our present. After ChatGPT shocked the whole world with its abilities, researchers at Carnegie Mellon University created an AI-powered robot that could create exceptional artwork on physical canvas with the help of simple text prompts, according to a press release.

The FRIDA robot (the Framework and Robotics Initiative for Developing Arts) can create unique paintings using photographs, human inputs, or even music. The final result is somewhat a resemblance to a basic finger painting.


You may not yet have tried Microsoft’s new Bing Chat search engine which uses a next-generation OpenAI model said to be more powerful than ChatGPT. There’s a waiting list to be granted access currently—however, one Stanford student has managed to gain more access than Microsoft or OpenAI developers intended. Using a method known as a prompt injection, Kevin Liu was able to encourage the ChatGPT-like bot to cough up its secrets.


How one student convinced the new ChatGPT-alike Bing Chat search to reveal its secrets.

Over the past decade, I’ve kept a close eye on the emergence of artificial intelligence in healthcare. Throughout, one truth remained constant: Despite all the hype, AI-focused startups and established tech companies alike have failed to move the needle on the nation’s overall health and medical costs.

Finally, after a decade of underperformance in AI-driven medicine, success is approaching faster than physicians and patients currently recognize.


The next version, ChatGPT4, is scheduled for release later this year, as is Google’s rival AI product. And, last week, Microsoft unveiled an AI-powered search engine and web browser in partnership with OpenAI, with other tech-industry competitors slated to join the fray.

It remains to be seen which company will ultimately win the generative-AI arms race. But regardless of who comes out on top, we’ve reached a tipping point.

Challenger search engine Neeva wants to replace the familiar “10 blue links” in search results with something more fitting for the modern AI age.

Back in December, Neeva co-founder and CEO Sridhar Ramaswamy, who previously spearheaded Google’s advertising tech business, teased new “cutting edge AI” and large language models (LLMs), positioning itself against the ChatGPT hype train.

“ChatGPT cannot give you real time data or fact verification,” Ramaswamy wrote at the time. “In our upcoming upgrades, Neeva can.”