Forbes contributors publish independent expert analyses and insights. Robert Glatter is a New York-based physician covering public health. This voice experience is generated by AI. Learn more. This ...
Meta’s problems just went from expensive to potentially existential as lawsuits and AI spending collide – “Not a great sign” Meta is pouring enormous sums into AI while lawsuits, legal charges and ...
Andrew covers the biopharma industry, scientific research, and public health across the continent. You can reach Andrew confidentially on Signal at drewqjoseph.71. Many people who face a heightened ...
Situational Awareness, the AI-focused hedge fund that was Wall Street’s fleeting obsession, is having a very bad month. The company, led by twentysomething OpenAI alum Leopold Aschenbrenner, went ...
Brian May has insisted “we actually don’t need AI” after using the tech to recreate an iconic Queen album cover. READ MORE: Adam Lambert tells us about upcoming new music, and why artists need to “use ...
Elevated levels of lipoprotein(a) above 175 nmol/L is associated with increased cardiovascular risk, especially among patients with existing heart disease, and warrants aggressive treatment to reduce ...
Novartis, Amgen and Eli Lilly are among the pharmaceutical companies developing drugs to lower levels of a particularly bad form of cholesterol called Lp(a) and potentially prevent heart attacks. Lp(a ...
Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve. He’s 23 years old and has no advanced mathematics training. What he does have is a ChatGPT ...
Alternative investments were once a commitment for the patient. Accredited investors bought into funds at launch, waited years for returns, and rarely questioned the quarterly valuation reports that ...
One idle evening last October, Mehtaab Sawhney took up an old pastime. He began perusing the website erdosproblems.com, an updated record of the 1,179 conjectures left behind by the eccentric and ...
Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.