It would be like teaching a kid by showing a picture of a horse and then a rhino, and then telling him a unicorn is something between these two, so he could mostly identify it without having seen an actual picture before. So the machine would be programmed such that it does not erase the earlier data also known as “catastrophic forgetting” but like the brain have the capability of ”continual learning” by selective activation of cells & overlap networks, and rather use the information to analyse the next dataset or “transfer learning”. Moreover, efforts are underway to teach the machine by just one or two examples, and not the millions of correct examples needed earlier which made the data computation very humungous and actually limited the capability of the machine. Human beings can multi-task effortlessly – can switch efficiently between frying an egg, working in an office, playing badminton and writing music, without compromising each of these activities individually. The UChicago researchers have developed “context-dependent gating” and “synaptic stabilization”, entailing activation of random-only 20 percent of a neural network for each new task, a single node may be involved in dozens of operations; thereby learning as many as 500 tasks with only a small decrease in accuracy.
The scam could result in steep financial losses for taxpayers. Last year alone, the IRS identified more than $2.3 billion in tax fraud schemes. The new infection process is designed to evade antivirus tools and tricks targets into installing the malware via a tax-themed Word Document containing a malicious macro that downloads an OpenVPN client on the targeted machine. The malware dropper establishes a connection to the legitimate cloud service “imgur” and downloads the NetWire or Remcos payloads by way of a technique called steganography, where the malicious code is hidden within an innocuous looking jpeg image file. ... The malware includes a variety of functions including the remote execution of shell commands on the infected machine, browser credential and history theft, the downloading and execution of additional malware payloads, screen captures and keylogging, as well as file and system management capabilities. Both NetWire and Remcos are commercial RATs that are available for online for as little as $10 per month, and both include following the Malware-as-a-Service (MaaS) model, offering their customers subscription-based services with choice of licensing plans, 24/7 customer support and periodic software updates.
Internal buy-in is the most important aspect of any digital transformation and adoption strategy, and the easiest way to help promote that is to identify internal champions. Clearly defining the team responsible for the implementation of a new tool or process will help give an incentive for that team to ensure adoption is prioritized throughout the organization. It will also help clarify where employees can direct questions. ... Training teams on new processes and tools is easier said than done. It’s important to find a better way to train, not just to ensure that digital transformation is successful and to make sure training really sinks in, but also to make sure your employees feel supported. Building effective training programs is a great way to show your employees that you’re invested in their success and their careers more broadly – helping to increase retention. ... Finally, be sure to set measurable, attainable goals around your digital transformation strategy. These may look vastly different from tool to tool or organization to organization, but adoption will increase if every user understands how transformation efforts will be evaluated.
Machine learning established new methods in drug discovery, such as precision medicine and next-generation sequencing, which can ensure a drug has the intended effect on patients. With the implementation of machine learning techniques, medical experts can develop algorithms to treat disease progression and design specific treatments for each patient, like those with Type 2 diabetes. ... Machine learning aids medical experts in determining the risk for each patient, depending on their symptoms, past medical records, and family history. ML streamlines the process of finding treatments for evolving illnesses, as well as helping researchers to track possible pandemics and to understand better why some diseases are more prevalent in specific cultures and demographics. ... Modern hospitals are high-tech environments run by advanced machines and the staff who are trained. The hospitals are increasingly shifting towards automation, to a future where diagnoses can be made accurately. Machine learning can accelerate disease diagnostics and make the risk of misdiagnosis less likely.
The brain has two systems, what you're consciously aware of, and then the non-conscious part, where almost everything happens. That's where your drives and biases and urges and impulses all come up from this, what we call the backchannel of the brain, the non-conscious part of the brain. Most of our actions and behaviors are initiated there a lot of times without our awareness. When we are thinking through something and thinking through answers or trying to problem-solve, we can direct our conscious brain to kind of override some of those impulses and urges and really take control of what we're doing and what we're thinking and how we're behaving. But when we're under stress, our brain is built for the non-conscious brain to take over, to help us with survival, or to help us get out of a scrape, something like that. With police officers, when they've been trained how to respond in certain ways to help people out, to de-escalate events, things like that, when stress starts to rise and get higher, then their non-conscious brain really starts to take over the processing. And that's where even really good officers can do things they later regret is because the non-conscious brain and those urges and impulses to say something or do something happens, and they might regret that later.
The city's cybersecurity team leads threat management and operates a 24-hour security operations center. The team works with more than 100 city agencies and offices to ensure systems are built and operated in a secure manner to make sure public assistance and healthcare are not compromised. NYC Cyber Command also manages an NYC Secure app that alerts users to unsecure Wi-Fi networks, unsafe Android apps and system tampering. The team uses a cloud infrastructure to find and mitigate threats. The Cyber Command uses a variety of Google cloud services including Cloud Storage, Computer Storage, Kubernetes Engine and Workspace. The team uses BigQuery to analyze batch and streaming data. When the pandemic started, DC Water already had 90% of the organization's systems on the cloud, according to a blog post on Microsoft. The final step was moving in-person operations and services. The organization worked with ESRI to move applications, operational processes and customer requests to Azure. Goals for this work included improving data security and replacing paper processes with digital ones. Durmus Cesur, the manager of work and asset management for DC Water, told Microsoft in the blog post that Azure was the best solution to provide continuous availability and scalability.
A new report from Palo Alto Networks -- which uses data from ransomware investigations, data-leak sites, and the Dark Web — found 337 victims in 56 industries, with manufacturing, healthcare, and construction companies suffering 39% of ransomware attacks in 2020. In addition, ransom demands skyrocketed during the year, doubling both the highest ransom demand — to $30 million—and the highest-known paid ransom, $10 million. The average victim paid more than $312,000, almost a third of the average demand. ... The Palo Alto report combines two sources of the threat intelligence: 252 incidents investigated by the company's data-breach response service over the past two years, and a survey of public leak sites and the Dark Web. Almost two thirds of the incident response cases investigated by the company came in one of four industries in 2020: healthcare, manufacturing, information technology, or construction. ... "As organizations shifted to remote workforces due to the COVID-19 pandemic, ransomware operators adapted their tactics accordingly, including the use of malicious emails containing pandemic-based subjects and even malicious mobile apps claiming to offer information about the virus," the company stated.
Besides being a lucrative career, data science is among the careers of tomorrow. New innovations in the industrial sectors are highly reliant on data. Technology is becoming dynamic and more data is generated as more people access the internet. With huge amounts of data, industries rely on data scientists to make smart business decisions. In the current digital world, data literacy is very important. People should learn how they can generate meaningful insights from raw data. Data is an untapped potential that can be used to develop various sectors. Fortunately, with the inception of machine learning technologies, organizations can predict and classify information accurately and intelligently. Data science, machine learning, and other similar technologies are subsets of artificial intelligence, which are the driving force behind future products such as self-driving cars and autonomous robots. Such developments are not fiction anymore. The emergence of reinforcement learning and natural language processing has also contributed to these advancements. ... The importance and urgency of data science in the 21st Century cannot be ignored. From providing great insights, statistics, aiding decision-making to hire suitable candidates, data science is overly valuable.
Leading companies feature software stacks that are modular, facilitating rapid innovation. Their developers frequently build in-house software products or platforms by leveraging free, but valuable, open-source software, as well as licensed components for routine functionality. This allows them to create applications faster. One executive stressed the importance of designing components with change in mind, because reconfiguring is always better than rewriting code. Another executive told me that every line of code within this decentralized architecture has a clear owner so that there is specific responsibility for each and every software component. To be clear, commercial solutions have an important role to play and should be a part of the software stack. But it’s the own-account software that matters most. ... In contrast, firms that lead with code typically begin by aiming to solve a focused business problem. They build and iterate on new features and products. Executives at these firms told me that until you try something out and see how your customers, suppliers, or employees react, and whether your business improves as a result, you can’t be sure of what to build.
Quote for the day:
"If you don't start somewhere, you're gonna go nowhere." -- Bob Marley