AI – or machine learning, to be more specific – is powered by data (by which we generally mean information). This is because it uses information to “learn” how to make decisions. The more information it receives - such as, for example, road traffic conditions, in the case of a self-driving car – the better it can learn to do whatever it is supposed to do. Simply by watching examples of what happens when a vehicle travels on the road in different situations (environment, time of day, etc.), it gets better at understanding the decisions that have to be made to achieve its objective – traveling from A to B without hitting anything or hurting anyone. Likewise, the usefulness of IoT is down to its ability to transmit data between disparate devices that can then be used to make better decisions. When all of the machinery on a connected factory floor, for example, is talking to every other piece of machinery, it's possible to spot where performance issues are creating inefficiencies, as well as predict where malfunctions and breakdowns are likely to impair performance of the manufacturing operation as a whole.
One of the numerous advantages of machine learning is the automation of many processes. Personalization is a prime illustration of this. The entire marketplace’s look may be altered using machine learning models for eCommerce to suit a specific buyer. AI personalization in eCommerce is primarily driven by user involvement, which improves the usability and appeal of the consumer experience (with more conversions and sales). Marketplaces want consumers to stay on their sites longer and make more purchases. To make it happen, they modify various website features to meet the specific user’s demands. ... The area of price adjustment is where you may see the full extent of machine learning’s advantages. eCommerce is one of those sectors where competition is quite severe, particularly in specialized consumer markets like hardware or beauty items—because of this, obtaining as many benefits as possible is essential if you want to draw in and keep clients. Price is one of the key motivators for 47% of eCommerce shoppers, according to a BigCommerce survey.
The first thing to note is that Hertzbleed is a new type of side-channel attack that relies on changes in CPU frequency. Hertzbleed is a real, and practical, threat to the security of cryptographic software. ... In short, the Hertzbleed attack shows that, under certain circumstances, dynamic voltage and frequency scaling (DVFS), a power management scheme of modern x86 processors, depends on the data being processed. This means that on modern processors, the same program can run at different CPU frequencies (and therefore take different wall-clock times). For example, we expect that a CPU takes the same amount of time to perform the following two operations because it uses the same algorithm for both. ... When running sustained workloads, CPU overall performance is capped by TDP. Under modern DVFS, it maximizes its performance by oscillating between multiple P-states. At the same time, the CPU power consumption is data-dependent. Inevitably, workloads with different power consumption will lead to different CPU P-state distribution.
The Orlando Economic Partnership (the region’s economic development group) is working with Unity to create a digital twin of the 800-square-mile metro area that will use new 3D technology to map out scenarios on everything from infrastructure to real estate to talent availability and more. The Unity rendering will capture 3D scans of exteriors and interiors of buildings, and it will help with the analysis of power grid expansions, traffic flow, stoplight timing, and climate change. The Orlando folks also participated in last week’s ringing of the Nasdaq bell in the metaverse by futurist Cathy Hackl, chief metaverse officer of Journey. Hackl is working with the city to help cement its reputation in the metaverse, and the bell ringing happened in both the physical stock exchange building and the metaverse. “I see the area from South Florida, which is focused on crypto, all the way up to Orlando, which is the simulation capital of the world, becoming one of the metaverse and Web3 innovation corridors to keep your eye on,” Hackl said.
In the modern paradigm, one of your company’s greatest assets is the data generated by your employees, clients, and customers. And, sadly, most businesses are leaving money on the table by simply storing that data away somewhere to collect digital dust. The problem: How do you audit your company’s entire data ecosystem, deploy models to identify and infer actionable items, and turn those insights into positive business outcomes? The solution: vertical intelligence. Unfortunately, “vertical intelligence” is a buzzword. If you try to Google it, you’ll just get pages and pages of companies that specialize in it explaining why it’s important. Nobody really tells you what it is in the context of modern AI solutions. ... Vertical intelligence is the combination of human expertise and big data analytics applied with surgical precision and timing. As NowVertical Group’s COO, Sasha Grujicic, told Neural, we’re coming out of a once-in-a-century pandemic. And, unlike most industries, the world of AI had a positive surge during the COVID lockdowns.
Even if no skills or capacities separate humans from artificial intelligence, there is still a reason and a means to fight the assessment that machines are people. If you attribute the same moral weight to something that can be trivially and easily digitally replicated as you do to an ape that takes decades to grow, you break everything—society, all ethics, all our values. If you could really pull off this machine moral status (and not just, say, inconvenience the proletariat a little), you could cause the collapse, for example, of our capacity to self-govern. Democracy means nothing if you can buy and sell more citizens than there are humans, and if AI programs were citizens, we so easily could. So how do we break the mystic hold of seemingly sentient conversations? By exposing how the system works. This is a process both “AI ethicists” and ordinary software “devops” (development and operations) call “transparency.” What if we all had the capacity to “lift the lid,” to change the way an AI program responds? Google seems to be striving to find the right set of filters and internal guardrails to make something more and more capable of human-like conversation.
Compared to other chatbot conversations, LaMDA shows streaks of both consistency and randomness within a few lines of conversation. It maintains the logical connection even when the subject is changed without being prompted by a relevant question. ... That trait apart, the one other significant differentiating factor seems to be how it can reach out to external sources of information to achieve “factual groundedness”. A research paper published by Google with Cornell University, mentions that the model has been trained using around 1.56T words of public data and web text. Google very specifically mentions safety, in terms of the model’s consistency with a set of human values, bypassing harmful suggestions and resorting to unfair bias, and enhancing the model safety using a LaMDA classifier fine-tuned with a small amount of crowd worker-annotated data, which again leaves ample scope for ample debate and improvement as one crowdworker might think he is talking to LaMDA chatbot but he might be talking to another crowdworker.
Using Span<> leads to performance increases because they are always allocated on the stack. Since garbage collection does not have to suspend execution to clean up objects with no references on the heap as often the application runs faster. Pausing an application to collect garbage is always an expensive operation and should be avoided if possible. Span<> operations can be as efficient as operations on arrays. Indexing into a span does not require computation to determine the memory address to index to. Another implementation of a Span in C# is ReadOnlySpan<>. It is a class exactly like Span<> other than that its indexer returns a readonly ref T, not a ref T. This allows us to use ReadOnlySpan<> to represent immutable data types such as String. Spans can use other value types such as int, byte, ref structs, bool, and enum. Spans can not use types like object, dynamic, or interfaces. ... Spans are not appropriate in all situations. Because we are allocating memory on the stack using spans, we must remember that there is less stack memory than heap memory.
Technology, media, and telecom companies, for instance, benefit directly by providing technological enablers, such as 5G, next-generation Wi-Fi or broadband networks, and new operating systems, app stores, and platforms to foster more content creation. Meanwhile, AR and VR tools are being actively explored and used in industries ranging from healthcare to industrial goods. Companies should start by familiarising their organisations with the potential impact of the metaverse. To start with, it’s important to do an assessment of how your business may be positively or negatively affected by the three biggest trends: the rise of m-worlds; improvements in AR, VR, and MR; and the expanding use of Web3 assets enabled by blockchain. Companies can then choose areas of focus in the metaverse and potential use cases for their own efforts. Finally, they can decide whether to become part of building this new infrastructure; monetise content and virtual assets; create B2B or B2C content, or even inward-facing experiences such as customer showrooms, virtual conferences, and remote collaboration solutions; or attract relevant audiences, both existing customers and prospects of interest.
The CFO must also unlock the investment they've made in staff by providing them with tools that automate mundane, low-value work. “CFOs are fully aware that inflation drives up the cost of hiring and maintaining talent,” explains Karlo Bustos, vice president of professional services for Board International. “They must provide an environment where things aren't hard to do, in a very manual-based function such as invoicing collection activities, building out financial plans, and making financial models.” For CFOs to mitigate the expense of hiring talent and the manual nature of many tasks, they need to provide an environment of automation, collaboration, easily shared data, and enabling technologies. “Being proactive in automation is understanding the business,” he says. “CFOs are more inclined to invest in automation technology to deliver value, so that they can compress some of the inflationary pressures they have on their internal cost structure.” That perspective was shared by Wayne Slater, director of product marketing for Prophix, a performance management software provider.
Quote for the day:
"Leadership is about change... The best way to get people to venture into unknown terrain is to make it desirable by taking them there in their imaginations." -- Noel Tichy