Lifeboat Foundation

In today’s column, I will be examining how the latest in generative AI is stoking medical malpractice concerns for medical doctors, doing so in perhaps unexpected or surprising ways. We all pretty much realize that medical doctors need to know about medicine, and it turns out that they also need to know about or at least be sufficiently aware of the intertwining of AI and the law during their illustrious medical careers.

Here’s why.

Is generative AI a blessing or a curse when it comes to medical doctors and the role of medical malpractice lawsuits.

Continue reading “Generative AI Is Stoking Medical Malpractice Concerns For Medical Doctors In These Unexpected Ways, Says AI Ethics And AI Law” »

They could help lead to speech apps for many more languages than exist now.

Meta has built AI models that can recognize and produce speech for more than 1,000 languages—a tenfold increase on what’s currently available. It’s a significant step toward preserving languages that are at risk of disappearing, the company says.

Meta is releasing its models to the public via the code hosting service GitHub. It claims that making them open source will help developers working in different languages to build new speech applications—like messaging services that understand everyone, or virtual-reality systems that can be used in any language.

Utilizing the computational prowess of one of the world’s top supercomputers, scientists have achieved the most accurate simulation to date of objects consisting of tens of millions of atoms, thanks to the integration of artificial intelligence (AI) techniques. Previous simulations that delved into the behavior and interaction of atoms were limited to small molecules due to the immense computational power required. Although there are methods to simulate larger atom counts over time, they heavily rely on approximations and fail to provide intricate molecular details.

A team led by Boris Kozinsky at Harvard University has developed a tool named Allegro, which leverages AI to perform precise simulations of systems containing tens of millions of atoms. To demonstrate the capabilities of their approach, Kozinsky and his team employed Perlmutter, the world’s eighth most powerful supercomputer, to simulate the complex interplay of 44 million atoms constituting the protein shell of HIV. Additionally, they successfully simulated other vital biological molecules such as cellulose, a protein associated with haemophilia, and a widespread tobacco plant virus.

Kozinsky emphasizes that this methodology can accurately simulate any atom-based object with exceptional precision and scalability. The system’s applications extend beyond biology and can be applied to a wide array of materials science problems, including investigations into batteries, catalysis, and semiconductors.

Microsoft’s co-founder said the technology race to win is the development of the top AI agent.

You only need two simple letters to accurately convey the major shift in the technology space this year: A and I. Beyond those letters, however, is a complex, evolving and exciting way in which we work, communicate and collaborate. As you will see, artificial intelligence is a common thread as we embark on Microsoft Build, our annual flagship event for developers.

Our guest is Nita Farahany, a Distinguished Professor at Duke University where she heads the Science, Law, and Policy Lab. The research she conducts in her lab specifically focuses on the implications of emerging neuroscience, genomics, and artificial intelligence; and, as a testament to her expertise, there is a long, long list of awards and influential positions she can lay claim to, including an appointment by Obama to the Presidential Commission for the Study of Bioethical Issues.

In this episode, we explore Nita’s recent publication, provocatively entitled, The Battle for Your Brain: Defending the Right to Think Freely in the Age of Neurotechnology. This takes us on our tour of the current neurotechnology that exists, the upcoming ways in which this tech will be integrated into our daily products, how it will shape our decision making, the profound list of ethical considerations surrounding cognitive liberty, and much more.

Continue reading “Thinking Freely in the Age of Neurotechnology | Nita Farahany, ep102” »

Artificial intelligence is a superior lifeform that humans are creating, and many AI researchers have outlined various scenarios in which this technology can pose an existential risk to humanity that could result in the literal end of the world.

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
AI Marketplace: https://taimine.com/

Continue reading “Artificial Intelligence Explosion: How AI May Cause The End of The World??” »

A team of researchers at Duke University and their collaborators have uncovered the atomic mechanisms that make a class of compounds called argyrodites attractive candidates for both solid-state battery electrolytes and thermoelectric energy converters.

The discoveries—and the machine learning approach used to make them—could help usher in a new era of energy storage for applications such as household battery walls and fast-charging electric vehicles.

The results appeared online May 18 in the journal Nature Materials.

May 22 (Reuters) — Nvidia Corp (NVDA.O) on Monday said it has worked with the U.K.’s University of Bristol to build a new supercomputer using a new Nvidia chip that would compete with Intel Corp (INTC.O) and Advanced Micro Devices Inc (AMD.O).

Nvidia is the world’s top maker of graphics processing units (GPUs), which are in high demand because they can be used to speed up artificial intelligence work. OpenAI’s ChatGPT, for example, was created with thousands of Nvidia GPUs.

But Nvidia’s GPU chips are typically paired with what is called a central processing unit (CPU), a market that has been dominated by Intel and AMD for decades. This year, Nvidia has started shipping its own competing CPU chip called Grace, which is based on technology from SoftBank Group Corp-owned (9984.T) Arm Ltd.