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In the last few years, countless cyber-attacks were reported globally that were linked to the People’s Republic of China. The Chinese cyber-hackers, who target the foreign networks and websites are sponsored by the Chinese government. They are highly trained and have acquired abilities not only to exploit common vulnerabilities but also to discover and even create new vulnerabilities.

The US National Security Agency’s in-depth report of 23rd October points out that one of the greatest threats to the US National Security Systems, Defence Industrial Base and Department of Defence information networks is the “Chinese state sponsored malicious cyber activity”. The report underlines that the Chinese hackers exploit “computer networks of interest that hold sensitive intellectual property, economic, political, and military information.”

In July 2020, US had ordered the closure of the Chinese consulate in Huston, when it discovered that the Chinese officials there were involved in the intellectual property theft and indicted two Chinese nationals for allegedly hacking hundreds of companies and crucially had attempted to steal coronavirus vaccine research. The United States Department of Justice has charged five Chinese national for their involvement in hacking targets not only in the US governments but also the networks of the Indian and Vietnam government. They also carried out attacks on the UK government network unsuccessfully.

Artificial intelligence helps scientists make discoveries, but not everyone can understand how it reaches its conclusions. One UMaine computer scientist is developing deep neural networks that explain their findings in ways users can comprehend, applying his work to biology, medicine and other fields.

Interpretable machine learning, or AI that creates explanations for the findings it reaches, defines the focus of Chaofan Chen’s research. The assistant professor of computer science says interpretable machine learning also allows AI to make comparisons among images and predictions from data, and at the same time, elaborate on its reasoning.

Scientists can use interpretable machine learning for a variety of applications, from identifying birds in images for wildlife surveys to analyzing mammograms.

Origami-inspired tissue engineering — using eggshells, plant leaves, marine sponges, and paper as substrates.


Ira Pastor ideaXme life sciences ambassador interviews Dr. Gulden Camci-Unal, Ph.D. Assistant Professor, at the Department Chemical Engineering, Francis College of Engineering, UMass Lowell.

Ira Pastor comments:

“There are two critical factors in this world: time and energy. Time is the only limited resource and therefore the most important one in our lives. Energy moves everything — our bodies, our lives and even all the digital revolution that is not physical depends on energy to be shared. We have no more time to cure the world and the Covid-19 is an amazing gift to better understand the important and critical things of our lives. It is a very important wake-up call for everyone.”

As more Israeli companies continue to seek solutions to economic and environmental challenges, we’ll see more local investors deploy capital in this space. Lack of acquisitions in this space – as opposed to a vertical like cybersecurity — are one main reason for the initial hesitancy of Israeli VCs.

Regardless of social impact or double bottom line investing, Israel is poised to lead another vertical impacting our global community. This has life-altering ramifications for future generations.

PerkinElmer has moved to expand its life sciences portfolio with CRISPR and gene editing offerings by snapping up the cell engineering specialist Horizon Discovery.

The $383 million, all-cash deal will add gene modulation tools that—in combination with its own work in applied genomics solutions—aims to provide next-generation research tools and the customized cell lines necessary for developers of new targeted therapies, and broaden PerkinElmer’s partnership work with academic researchers and the biopharma industry.

The Cambridge, U.K.-based Horizon, with about 400 employees worldwide with offices in the U.S. and Japan, provides genetic base editing technologies for living cell models using CRISPR reagents, as well as gene modulation products using RNA interference methods.