We can cure almost all human diseases. Here’s how. | Albert-László Barabási

The Human Genome Project was a major breakthrough in medicine, but according to network scientist Albert-László Barabási, simply having a list of genes is not enough to fully understand how they interact, and crucially, how our bodies work. Barabási believes network science — which studies complex patterns and interactions between our cells — can fill in this gap by creating a biological map from which we could develop new cures, and even predict diseases.

He explains that disease genes often have mutations that result in a missing interaction within the sub-cellular network, which then causes problems in the functioning of a cell. Traditional medicinal interventions can lead to unwanted side effects, as they also affect other cellular processes in the network; network medicine has revealed that these complex systems, though robust, are also fragile to attacks, and removing a few major hubs can break the network into tiny pieces.

Understanding the structure of the network within our cells can allow for precise interventions that cure the problem without causing other issues. For Barabási, the ideal future of medicine would involve individualized network diagrams being adopted as a standard tool for doctors to show patients where mutations are, how they impact the rest of the cell, and how interventions can stop their effects.

US pours trillions of dollars of public funds into new green industries – BBC News

Central to Joe Biden’s reelection campaign is his claim to be transforming the US economy by brining new life to old manufacturing areas.

The US government is pouring hundreds of billions of dollars of public money into the green industries of the future, including electric vehicles, microchips, batteries and renewable energy.

The motivation is partly to counter China’s domination of these industries.

Huw Edwards presents BBC News at Ten reporting by economics editor Faisal Islam in Kentucky.

Nvidia’s HUGE AI Breakthrough (Bigger Than ChatGPT)

The entire world is talking about AI tools like Midjourney and OpenAI’s ChatGPT because they’re disrupting every industry in a BIG way. But there’s another AI breakthrough happening right now that’s even bigger. A couple weeks ago NVIDIA held their latest GTC conference, where they talked about breakthroughs in AI by OpenAI and the hardware they run on – Microsoft Azure and Nvidia’s GPUs built by TSMC using machines by ASML. This video explains the breakthrough that just happened in computational lithography, its impacts on semiconductors.

How Musk’s Twitter Could Finally Break Even Soon | WSJ

Twitter is over $13 billion in debt. Many advertisers like Chipotle and United Airlines have fled. But CEO Elon Musk said the social media company has a shot at hitting profitability and becoming cash-flow positive within a few months.

Here’s why Musk is optimistic about the company’s revenue comeback, and how his purchase contributed to Twitter’s cash problem.

Bing Just Upgraded YouTube (and changed the internet forever)

You can now watch YouTube alongside a super-smart AI. I detail exactly how you can do this, what opportunities this opens up via the sidebar, and why Bing Chat can be such a useful assistant. I analyse the shortcomings of the outputs, and showcase a Bing hallucination, but argue that this is a fundamental change in how millions of people will use YouTube in 2023. I will also examine the Bing Compose feature and the paste functionality. Finally, Bing AI will compose a poem to mark the occasion.

How Nvidia Grew From Gaming To A.I. Giant, Now Powering ChatGPT

Thirty years ago, Taiwan immigrant Jensen Huang founded Nvidia with the dream of revolutionizing PCs and gaming with 3D graphics. In 1999, after laying off the majority of workers and nearly going bankrupt, the company succeeded when it launched what it claims as the world’s first Graphics Processing Unit (GPU). Then Jensen bet the company on something entirely different: AI. Now, that bet is paying off in a big way as Nvidia’s A100 chips quickly become the coveted training engines for ChatGPT and other generative AI. But as the chip shortage eases, other chip giants like Intel are struggling. And with all it’s chips made by TSMC in Taiwan, Nvidia remains vulnerable to mounting U.S.-China trade tensions. We went to Nvidia’s Silicon Valley, California, headquarters to talk with Huang and get a behind-the scenes-look at the chips powering gaming and the AI boom.