If you spend more on coffee than IT security, you will be hacked! Warned U.S. Cybersecurity Czar Richard Clarke, speaking at RSA Conference. This quote would make a great bumper sticker if it weren't for network attacks. According to research by IBM, it takes 280 days to find and contain the average cyberattack, while the average attack costs $3.86 million. But what are network attacks, and how can we leverage a next-gen search tool like Jina to mitigate our exposure to the threat?

Argonne National Laboratory, a multidisciplinary science and engineering research centre operated by the University of Chicago for the U.S. Department of Energy, has installed Graphcore's Intelligence Processing Units (IPUs) within its AI Testbed. The AI Testbed, operated by the Argonne Leadership Computing Facility (ALCF), enables researchers to explore next-generation machine learning applications and workloads to advance the use of AI for science. Technologies selected for the testbed, such as Graphcore's IPUs, complement the facility's current and next-generation supercomputers to provide a state-of-the-art environment that supports pioneering research at the intersection of AI, big data, and high-performance computing (HPC). The systems in the ALCF AI Testbed are purpose-built for machine learning and data-centric workloads, making them well suited to address challenges involving the increasingly large amounts of data produced by supercomputers, light sources, and particle accelerators among other powerful research tools. In addition, the testbed allows researchers to explore novel workflows that combine AI methods with simulation and experimental science to accelerate the pace of discovery.

The UK's National Health Service has announced that it will test delivering vital chemotherapy drugs via drone to the Isle of Wight. The body has partnered with Apian, a drone technology startup founded by former NHS doctors and former Google employees. Test flights are due to begin shortly, and it's hoped that the system will reduce journey times for the drugs, cut costs and enable cancer patients to receive treatment far more locally. The Isle of Wight is an island two miles off the south coast of England with a population just under 150,000. Due to the short shelf-life of most chemotherapy drugs, medicines are either rushed onto the island or patients take the ferry to the mainland.

Patents provide third-party opinions on the uniqueness of the technology and a'saleable asset insurance' in the event that the company ceases trading

Former aides of ex-President Donald Trump have released a new dating app for conservatives. The dating app, named The Right Stuff, is founded by former White House staffers, including John McEntee, Trump's former personal aide and ex-director of the White House presidential personnel office; and Daniel Huff, a Trump appointee in the Department of Housing and Urban Development. The dating app is designed to help conservatives "connect in authentic and meaningful ways." The Right Stuff is also created to "bring people together with shared values and similar passions," according to the website. The app is backed by Peter Thiel, a German-American tech billionaire who co-founded PayPal, Palantir Technologies, and Founders Fund.

A new report has claimed the Chinese government is now implementing cutting edge artificial intelligence to monitor the minds of dozens of Communist party officials. Researchers in China claimed to have developed software that can acutely analyze facial expressions and brain waves to monitor if subjects were attentive to "thought and political education." China's stringent police state has been radically upscaled over the past decade, using big data, machine learning, face recognition technology and artificial intelligence to build what many have labelled the world's most complex digital dictatorship. According to the Hefei Comprehensive National Science Centre, the high-tech development would be used to "further solidify their confidence and determination to be grateful to the party, listen to the party and follow the party." In a short clip, a subject was seen looking at screen at a kiosk, scrolling through exercises promoting party policy.

He added that it was hoped the new delivery method, which has been created in partnership with tech company Apian, would offer a better option for cancer patients living on the Isle of Wight, many of whom currently have to travel to the mainland for treatment.

Over 12 billion doses of COVID-19 vaccines have been administered at the time of writing. However, public perceptions of vaccines have been complex. We analyzed COVID-19 vaccine-related tweets to understand the evolving perceptions of COVID-19 vaccines. We finetuned a deep learning classifier using a state-of-the-art model, XLNet, to detect each tweet's sentiment automatically. We employed validated methods to extract the users' race or ethnicity, gender, age, and geographical locations from user profiles. Incorporating multiple data sources, we assessed the sentiment patterns among subpopulations and juxtaposed them against vaccine uptake data to unravel their interactive patterns. 11,211,672 COVID-19 vaccine-related tweets corresponding to 2,203,681 users over two years were analyzed. The finetuned model for sentiment classification yielded an accuracy of 0.92 on testing set. Users from various demographic groups demonstrated distinct patterns in sentiments towards COVID-19 vaccines. User sentiments became more positive over time, upon which we observed subsequent upswing in the population-level vaccine uptake. Surrounding dates where positive sentiments crest, we detected encouraging news or events regarding vaccine development and distribution. Positive sentiments in pregnancy-related tweets demonstrated a delayed pattern compared with trends in general population, with postponed vaccine uptake trends. Distinctive patterns across subpopulations suggest the need of tailored strategies. Global news and events profoundly involved in shaping users' thoughts on social media. Populations with additional concerns, such as pregnancy, demonstrated more substantial hesitancy since lack of timely recommendations. Feature analysis revealed hesitancies of various subpopulations stemmed from clinical trial logics, risks and complications, and urgency of scientific evidence.

The rapid growth of connected devices has led to the proliferation of novel cyber-security threats known as zero-day attacks. Traditional behaviour-based IDS rely on DNN to detect these attacks. The quality of the dataset used to train the DNN plays a critical role in the detection performance, with underrepresented samples causing poor performances. In this paper, we develop and evaluate the performance of DBN on detecting cyber-attacks within a network of connected devices. The CICIDS2017 dataset was used to train and evaluate the performance of our proposed DBN approach. Several class balancing techniques were applied and evaluated. Lastly, we compare our approach against a conventional MLP model and the existing state-of-the-art. Our proposed DBN approach shows competitive and promising results, with significant performance improvement on the detection of attacks underrepresented in the training dataset.

The advent of federated learning has facilitated large-scale data exchange amongst machine learning models while maintaining privacy. Despite its brief history, federated learning is rapidly evolving to make wider use more practical. One of the most significant advancements in this domain is the incorporation of transfer learning into federated learning, which overcomes fundamental constraints of primary federated learning, particularly in terms of security. This chapter performs a comprehensive survey on the intersection of federated and transfer learning from a security point of view. The main goal of this study is to uncover potential vulnerabilities and defense mechanisms that might compromise the privacy and performance of systems that use federated and transfer learning.