Toggle light / dark theme

Dr. Amber Salzman, Ph.D. is Chief Executive Officer and Director of Epic Bio (https://epic-bio.com/), a fascinating therapeutic epigenome editing startup, developing therapies to modulate gene expression at the level of the epigenome, which just recently emerged from stealth mode with a $55 million funding round.

Dr. Salzman has more than 30 years of experience in the pharmaceuticals industry. Before joining Epic Bio, Dr. Salzman served as the president and CEO of Ohana Biosciences, pioneering the industry’s first sperm biology platform. Before Ohana, she served as the president and CEO of Adverum Biotechnologies and was a co-founder of Annapurna, SAS, where she served as President and CEO before its merger with Avalanche Biotechnologies to become Adverum. In that role, she saw the company’s stock price double.

Dr. Salzman began her career as a member of the GlaxoSmithKline (GSK) research and development executive team, where she was responsible for operations in drug development across multiple therapeutic areas, overseeing global clinical trials with over 30,000 enrolled patients, managing 1,600 employees and a $1.25B budget.

Following her time at GSK, Dr. Salzman served as the CEO of Cardiokine, a pharmaceutical company that developed treatments for the prevention of cardiovascular diseases and saw the successful sale of the company to Cornerstone Therapeutics.

Dr. Salzman currently serves on the Osler Diagnostics (UK) and AviadoBio (UK) Boards.

Dr. Salzman received her bachelor’s degree from Temple University in computer science and holds a Ph.D. in mathematics from Bryn Mawr College.

A team of researchers from the National University of Singapore (NUS) has developed a novel technique that allows Physically Unclonable Functions (PUFs) to produce more secure, unique ‘fingerprint’ outputs at a very low cost. This achievement enhances the level of hardware security even in low-end systems on chips.

Traditionally, PUFs are embedded in several commercial chips to uniquely distinguish one from another by generating a secret key, similar to an individual fingerprint. Such a technology prevents hardware piracy, chip counterfeiting and physical attacks.

The research team from the Department of Electrical and Computer Engineering at the NUS Faculty of Engineering has taken silicon chip fingerprinting to the next level with two significant improvements: firstly, making PUFs self-healing; and secondly, enabling them to self-conceal.

Watch The Full Episode Here: https://youtu.be/5-DqV69MJq0

Listen To The Full Episode On Spotify: https://open.spotify.com/episode/1kn8fYVblEnzOCJ16LzcEq?si=2bf44a7d7aa74e20

🎧 Listen To #TheRanveerShow On Spotify:

✅ subscribe to our other youtube channels:

BeerBiceps (English Channel):
https://www.youtube.com/c/BeerBicepsOfficial.

Ranveer Allahbadia (Hindi Channel):

Imagine for a second that the planet we live on, the solar system, our galaxy, and eventually the entire universe we see as infinite is no more than a simulation. What then?

According to a new theory by computer scientists, our universe may be simulated. So what we perceive as “ghosts” could be small pieces of evidence that suggest the universe we live in is simulated.

It’s called the simulation theory, and it proposes that we are no more than “avatars” in a universe that is entirely simulated.

We think of data storage as a modern problem, but even ancient civilizations kept records. While much of the world used stone tablets or other media that didn’t survive the centuries, the Incas used something called quipu which encoded numeric data in strings using knots. Now the ancient system of recording numbers has inspired a new way to encode qubits in a quantum computer.

With quipu, knots in a string represent a number. By analogy, a conventional qubit would be as if you used a string to form a 0 or 1 shape on a tabletop. A breeze or other “noise” would easily disturb your equation. But knots stay tied even if you pick the strings up and move them around. The new qubits are the same, encoding data in the topology of the material.

In practice, Quantinuum’s H1 processor uses 10 ytterbium ions trapped by lasers pulsing in a Fibonacci sequence. If you consider a conventional qubit to be a one-dimensional affair — the qubit’s state — this new system acts like a two-dimensional system, where the second dimension is time. This is easier to construct than conventional 2D quantum structures but offers at least some of the same inherent error resilience.

Self-organizing lasers could lead to new materials for sensing, computing, light sources, and displays by mimicking features of living systems.

Although many artificial materials have advanced properties, they have a long way to go to combine the versatility and functionality of living materials that can adapt to their situation. For example, in the human body bone and muscle continuously reorganize their structure and composition to better sustain changing weight and level of activity.

Now, scientists have demonstrated the first spontaneously self-organizing laser device, which can reconfigure when conditions change.

As the amount of data stored in devices and shared over the internet continuously increases, computer scientists worldwide are trying to devise new approaches to secure communications and protect sensitive information. Some of the most well-established and valuable approaches are cryptographic techniques, which essentially encrypt (i.e., transform) data and texts exchanged between two or more parties, so that only senders and receivers can view it in its original form.

Physical unclonable functions (PUFs), devices that exploit “random imperfections” unavoidably introduced during the manufacturing of devices to give physical entities unique “fingerprints” (i.e., trust anchors). In recent years, these devices have proved to be particularly valuable for creating , which are instantly erased as soon as they are used.

Researchers at Peking University and Jihua Laboratory have recently introduced a new system to generate cryptographic primitives, consisting of two identical PUFs based on aligned carbon nanotube (CNT) arrays. This system, introduced in a paper published in Nature Electronics, could help to secure communications more reliably, overcoming some of the vulnerabilities of previously proposed PUF devices.

WASHINGTON — The Defense Innovation Unit is funding space projects that the agency hopes will spur commercial investments in satellite refueling technologies and support services for geostationary satellites.

“Imagine a world where every 18 to 24 months, you could simply upgrade the processor on a satellite in GEO the way that you upgrade your smartphone to take advantage of new processing power and new functionality,” said Steve “Bucky” Butow, director of the space portfolio at the Defense Innovation Unit.

DIU, based in Silicon Valley, is a Defense Department agency established in 2015 to help bring privately funded innovation into military programs.

The platform, still in the early development phase, is called Druglike, according to a press release that circulated on July 25. Its goals are ostensibly lofty, but the details are extremely sketchy, and Shkreli’s intentions have already drawn skepticism. It’s also unclear whether the enterprise will run Shkreli afoul of his lifetime ban from the pharmaceutical industry, which stemmed from the abrupt and callous 4,000 percent price hike of a life-saving drug that made him infamous.

Shkreli, who is named as a cofounder of Druglike, says the platform aims to make early-stage drug discovery more affordable and accessible. “Druglike will remove barriers to early-stage drug discovery, increase innovation and allow a broader group of contributors to share the rewards,” Shkreli said in the press release. “Underserved and underfunded communities, such as those focused on rare diseases or in developing markets, will also benefit from access to these tools.”

Generally, early-stage drug development can sometimes involve virtual screens to identify potential drug candidates. In these cases, pharmaceutical scientists first identify a “target”—a specific compound or protein that plays a critical role in developing a disease or condition. Then researchers look for compounds or small molecules that could interfere with that target, sometimes binding or “docking” directly to the target in a way that keeps it from functioning. This can be done in physical labs using massive libraries of compounds in high-throughput chemical screens. But it can also be done virtually, using specialized software and a lot of computing power, which can be resource-intensive.