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Artificial intelligence as of now is considered among the most evident digital technologies and vows to create significant business value later on. Along with a constantly growing body of knowledge, exploration in this field could additionally benefit from fusing innovative features, human characteristics, and organizational objectives into the assessment of artificial intelligence empowered systems.

To bring artificial intelligence systems closer to living beings it is important to understand their mindset and thought process. This can be possible by studying their psychological factors with the help of affordance theory.

Affordances are an idea emerging from the field of perceptual psychology, as a component of Gibsons fundamental work on ecological observation (J. Gibson 1979). An affordance is an activity probability shaped by the connection between an agent and its environment. For instance, the affordance of throwing exists when the catching and pushing capacities of an agent are all well-coordinated with the size and weight of an object.

This throwing capacity isnt a property of either the agent or the object however it is a relationship between them. This relationship-oriented perspective of the potential for activity has an increasing demand in the field of applied sciences, as it presents favorable circumstances for functionality and design over conventional AI methods.

An ecological approach to deal with the plan of robotic agents can hold huge significance for scientists in the field of artificial intelligence. Rendered agents arranged in a physical environment contain an abundance of data, simply by perceiving their general surroundings. By exploiting the connection between the agent and its environment, creators can reduce the requirement for an agent to develop and maintain complex representations; designers can rather concentrate on the details of how the agent interacts directly with the surroundings around it.

The result is increasingly adaptable agents that are better able to react to the dynamic, real-world environment. The ecological approach in this way becomes appropriate for the design of rendered agents, for example, versatile autonomous robots, where the agent might be required to work in complex, unstable, and real-time situations.

Planning and execution in such systems is generally a firmly challenging procedure, with the agent continuously recomputing the best course of short-term activity, along with the execution of the current task. This reduces reliance on a control state that monitors the agents progress in a sequence of activities that may depend on unrealized obsolete information. An ecologically aware agent can exhibit adaptability despite evolving conditions, while still performing complex activities.

Certain experts explain, utilizing a simulated environment, how environmental factors can enable an agent to abort a routine that is no longer relevant, re-perform a failed activity, briefly suspend one task for another, incorporate tasks, and consolidate tasks at the same time to accomplish various objectives.

Comparative attributes have emerged in various physical robotic systems that follow various techniques and configuration patterns, yet incorporate standards compatible with the environmental conditions. Whether physical or simulated, a large number of these systems share a typical methodology in the utilization of exploratory practices, or different stages, in which the agent essentially tries out an activity without a particular objective, to monitor the outcome on its environment.

Through exploratory collaborations, the agent is capable to become familiar with the affordances of its surrounding to a great extent freely. However, the affordances the agent can find will be dependent not only on its physical and perceptual capacities but also on all the types of exploratory practices with which it has been customized.

It is likewise imperative to take into consideration the limitations of this theory. Artificial intelligence analysts are frequently trying to duplicate conduct, which might not possibly emphasize detailed modeling of the systems. The simplicity of usage, speed of execution, and the final performance of the system should all be analyzed when choosing what models to apply to the design of an artificial agent.

In this manner, the reliability of the model utilized will depend upon several elements, including how well the systems are understood, how effectively they can be imitated with the available equipment and programming, and the particular objectives of the examination.

Affordances play multiple roles in situations. On one hand, they permit quicker planning, by diminishing the number of activities available in random circumstances. On the other hand, they encourage increasingly proficient and precise learning of transformation models from data. While researchers and AI specialists may not generally agree on the details of the executions, they share the objective of better understanding agent-environment systems.

Further, huge numbers of the agents being created are moving past the issues of basic navigation and obstacle avoidance, with ecological methodologies being applied to the structure of robots fit for altering the environment with which they connect. It is expected that the utilization of an affordance-based plan will keep on developing alongside the improvement of robotic agents capable of increasingly more complex behaviors.

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Reshaping Artificial Intelligence with the Help of Affordances - Analytics Insight

Launching new Natural Language Processing algorithms to automate sentiment analysis in earnings calls

Introducing four proprietary Machine Learning models to decode valuation drivers of listed companies

Iridium Quant Lens data, analytics and AI to level playing field between companies, analysts and investors

DUBAI, UAE, July 27, 2020 /PRNewswire/ --Iridium Advisors, the investor relations consultancy, today unveils two self-funded technologies that decode valuation drivers of listed companies and automate sentiment analysis in earnings calls. Based on algorithms that analyse massive volumes of publicly available data, these innovative tools are part of Iridium's venture into artificial intelligence, data science and advanced analytics known as "Iridium Quant Lens".

Oliver Schutzmann Iridium Advisors

Oliver Schutzmann, CEO of Iridium Advisors, said: "Iridium Quant Lens is one way we are evolving to support the corporate world to use artificial intelligence to address possible vulnerabilities and unlock potential for improved valuations. By providing organizations and leaders with this cutting-edge technology and pairing it with our knowledge and expertise of investor relations, we equip our clients with an unrivalled level of insights that they can use to close the gap between their business value and their market value."

Capital markets are a complex, dynamic and nuanced ecosystem that essentially seeks to synthesize a huge array of fundamental and alternative data to make intelligent investment decisions. Institutional investors and research analysts have been quick to embrace Machine Learning to augment their investment process and Natural Language Processing to identify hidden sentiment in earnings calls to confirm or discredit their investment views. Due to the limited availability of affordable tools, public companies across all sectors and geographies have been much slower to integrate these artificial intelligence concepts into their corporate decision-making and investor communications processes.

In a first foray to level the playing field, Iridium Quant Lens now provides Natural Language Processing and Machine Learning algorithms that not only help boards and management teams better understand how these technologies are applied by the investment community, but also to enable public companies to run their own algorithms that can quantify valuation drivers and anticipate market reactions to strategic decisions, financial results and management commentaries after earnings calls.

Iridium Quant Lens Machine Learning algorithms identify to a high degree of accuracy the financial and non-financial drivers of valuations at a particular point in time. The algorithms, using around 9 million data points compiled from 673 banks globally, proved highly successful in decomposing valuation drivers and, explaining up to 95% of valuation variability for certain time periods. Consequently, Iridium Quant Lens can be utilised to classify overvalued and undervalued banks in a particular geography, and can help quantify addressable downside risk and upside potential. This, by extension, enables senior management to maximize shareholder value and to align their communication and business strategy to the most important valuation drivers recognized by Iridium Quant Lens. The algorithms have also highlighted a series of consistently significant valuation patterns which confirm the impact of non-financial metrics such as index inclusion, investor relations activity and credit ratings on share price.

Story continues

Iridium Quant Lens Natural Language Processing algorithms automate earnings call analysis by quantifying language at a scale and speed that is impossible to replicate by the human brain. To date, it has processed 3 million words from more than 500 earnings call transcripts, representing over 75% of the market capitalization of listed companies across eight stock exchanges in the GCC region. The algorithm generates unbiased insights from the sentiment expressed by management, analysts and investors, the language complexity used, as well as the number of financial metrics conferred during earnings calls. The findings are cross-correlated against analysts' earnings forecasts to detect management biases, and to predict how changes in sentiment impact short-term market movements.

About Iridium Advisors

Iridium Advisorsis a management consulting firm and the Middle East's leading advisor on investor relations. The company was founded in 2015 in Dubai on the belief that first-hand capital markets and in-house senior management experience are central to the process of converting business value into shareholder returns. Our results-oriented experts design, build and operate transformational investor relations programs that help organizations and leaders engage, transact and grow - whether they are healthy, challenged or distressed. For information visit http://www.iridiumadvisors.com.

Media Contact Ms. Pamela ChahineIridium Advisors DMCC+971 4 429 5864ir@iridium.ae

View original content:http://www.prnewswire.com/news-releases/iridium-quant-lens-brings-artificial-intelligence-to-valuation-and-sentiment-analysis-in-listed-companies-301099834.html

SOURCE Iridium Advisors

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Iridium 'Quant Lens' brings artificial intelligence to valuation and sentiment analysis in listed companies - Yahoo Finance

The concept of artificial intelligence has been around for so long it cant be considered a novel trend. But it is an emerging technology that is increasing in its implementation for our personal and business affairs.

While pop culture has been on the AI train for longer than some of us have been alive, it isnt representative of what AI looks like today. No humanoid robots are taking our jobs and policing our communities just yet (likely never). Instead, artificial intelligence is helping to augment and enhance our everyday lives.

This possibility is especially real for businesses, particularly startups. At this point, they usually do not have an abundance of resources. AIs ability to help them simplify, automate, and improve business operations is a welcome reprieve. The number of ways that startups can benefit from integrating AI for business processes is endless.

The name says it all. The ultimate idea of artificial intelligence is a solution that can mimic human cognitive function. This technology allows machines and devices to function independently outside of human help or instruction.

AI-enabled devices and machines can interact with their surroundings without an instructional medium. They are self-taught, self-correcting, and self-reasoning.

These three capabilities already exist in physical and digital devices and platforms all around us.

An example would be Facebooks image suggestion feature. The way it suggests the names of the people in an uploaded photo.

An excellent example of self-reasoning capability is in the concept of self-driving vehicles. These cars can interact with every other object in their environment. They can use the information they get to decide when to brake, speed up, change lanes, honk, or even take control of the wheel from the driver in emergencies.

Another excellent example of AI goodness is in the way your music app suggests songs for you. If you skip over a recommended song, the program understands that it is not one you like, so it wont recommend it again.

These all sound lovely, but Im sure you want to know how they will help you operate and efficiently grow your startup. Weve put together an artificial intelligence for startup list to address your concern.

These are the core benefits of integrating AI for your business startup. They will inspire you to dig up even more ways to utilize AI for business reasons.

Ordering lunch for your small staff. Scheduling a meeting and shooting SMS reminders to investors. With a properly integrated voice assistant, these scenarios can happen without ever having to touch your phonecompletely voice-activated.

You can attend to an avalanche of business tasks while driving, clicking away at your computer, or heating the grill in preparation for an office party.

Alexa, Siri, Bixby, and Cortana are examples of voice-assistance technology you can use to make your life easier at the office and everywhere else.

Humans, for all their good intentions, are prone to errors. Not to mention that the hiring process, especially for a business startup, can be very tasking.

The hiring process has so many elements before you filter down to just a few right candidates. AI-enabled applicant tracking technologies can take these cumbersome and time-consuming tasks off your hands.

These tools can evaluate candidate resumes, set and handle tests, and analyze test scores.

These AI tools can quickly acquaint themselves with the companys performance data. Then they can cross-reference with the candidates characteristics and select only the best of them.

Of course, in the end, the final decision is still down to a hiring manager. But this technology allows startups to have a faster, effective, and unbiased hiring process.

A basic CRM tool already takes a huge weight off your shoulders with the automation of your daily business tasks. But with AI-integration, the bar has gone up more than a few notches.

An AI-enabled CRM can provide intelligent marketing predictions, personalized client recommendations, fully autonomous chatbots, and more.

With a CRM like this, every business decision you make along your customers journey is hugely informed. No startup should engage with their customers without the extensive powers of an AI-enabled CRM.

Just imagine that youre having an emergency meeting with your staff at the office. During the meeting, a lot of points are raised, and a lot of suggestions put forward.

Naturally, itll be hard for your assistant to remember all that was said, much less put it in any form of coherent writing.

Thankfully, there are emerging AI solutions for this dilemma. There exists AI tech that can record your meeting, identify keywords throughout the meeting, and take notes in a way that is organized and can be easily revisited.

With these tools, you will even be able to perform a search of said keywords to highlight essential points in the meeting. And none of these are done manually. You only have to click the record button, while the AI starts to process the team minutes while taking notes.

We live in a world of Big Data. You could say that data makes the business world go round.

AI analysis tools can use this data to help you understand your customers at a deeper level. This insight involves scouring through massive amounts of raw customer data. This analysis process is impossible for humans and not as effective with non-AI tools.

Lets say, for instance, your customers give their feedback on your products/services. An AI-powered analytics tool will be able to comprehend and categorize their responses, opinions, and suggestions. It will identify any patterns and trends, as well as predict future circumstances.

Data breaches are a real threat to any business and the sensitive customer information theyre responsible for.

This responsibility makes cybersecurity measures an absolute necessity for any business startup. Depending on the size of any company, a security infraction can result in millions of dollars in losses. This reality makes it surprising that many startups and established outfits still deploy outdated methods of threat detection.

The problem for a startup, in this case, is that they may never recover from an extensive security attack. So it makes sense to be proactive.

Thankfully, AI offers a solution here that is more preventive than curative. There are many dependable AI solutions on the market today that can help you nip a potential security threat in the bud before it becomes a source of concern.

AI can identify suspicious website activity and also identify users with less than honorable intentions based on said activity and more.

Customer perception keeps changing, competition keeps growing, and security threats keep innovating. This reality makes it imperative for any startup that wants to survive to deploy every necessary AI for business tools and solutions. The earlier you do this, the better your businesss present and long-term plans will be for it.

Author Bio: Ana Mayer is a project manager with 3+ years of experience. While projects can do without her participation (which means almost never), she likes to read and create expert academic materials for the Online Writers Rating, Best Writers Online review website. Such work gives her the opportunity to write articles on the most relevant topics of today.

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Guide to using AI tools in business startups - The Burn-In

SAN FRANCISCO--(BUSINESS WIRE)--Mercatus, the modern data management platform for private market investors, today announced the availability of PDF Parser, a technology-augmented PDF data extraction for private markets. The latest in a series of new enhancements, the Mercatus platforms PDF Parser feature significantly mitigates the challenges of data on-boarding, eliminating manual extraction of asset reports, investor memos and other custom reporting.

Scraping data from PDFs is a time-consuming, expensive and manual process that is prone to errors and often leads to poor data quality, says Mercatus CEO Haresh Patel. With PDF Parser, we are eliminating the labor-intense task of processing, extracting, cleaning and uploading data from PDFs. By automating the process, businesses can do in two or three minutes what traditionally has taken three or more days. Thats a reduction of $240,000 per reporting cycle for a typical fund manager managing 50 active investments.

Because PDFs are designed for humans and not computers, they do not have a defined structure that allows users to gather data from it easily. With a solid back-end extraction tool, the Mercatus data management platform allows users to query, search, filter, merge, sort and extract texts and images from any PDF documents in an effective way. Features include:

Private market investors are dependent on diverse and rapidly changing unstructured documents. Traditional (optical character recognition) OCR and data extraction techniques that work in adjacent markets with standardized documents simply do not work, says Mercatus CTO Jason Adams. By blending advancements in AI and machine learning paired with human-in-the-loop processing we have provided a solution that answers the demand to interact with these documents at scale. Now critical business data locked away in unstructured documents can finally be accessed and extracted at high volumes in an automated way.

Yann Pron, Partner at Ktlaysis, added, Being able to analyze unstructured data in a systematic and systemic manner is a must-have today. Pushed by disruptive technologiessuch as AI, machine learning and natural language processing (NLP)computer calculation powers have never been as high. Until now this had to be processed, read and written manually into miscellaneous documents, systems and databases. Mercatus latest release is a real step-up in process automation which has been intensively manual until now.

Last week, Mercatus released a No-Code Integration front-end interface that automates the data-in process by connecting to private market applications and databases.

For more information, visit http://www.gomercatus.com

About Mercatus

Mercatus is the modern data management platform for private market investors. Our vision is total transparency across the entire investment lifecycle and investor ecosystem - from LP to GP to Portfolio Company and their underlying investments. Because the truth is in your data. Mercatus built the first data architecture to systematically harness and control data, workflows, and financial models to accelerate and scale growth, reduce operational risk, and achieve alpha. Many leading private market funds leverage Mercatus to manage over $590B of multi-asset investments globally. For more information on what makes our approach different, visit http://www.gomercatus.com.

Connect with Mercatus on LinkedIn and Twitter.

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Mercatus Introduces Artificial Intelligence and Machine Learning PDF Parser to Rid Time-Consuming, Manual PDF Uploads and Improve Data Quality -...

Rana el Kaliouby decodes herself in her latest book, Girl Decoded.

For many entrepreneurs, starting their startup is the most significant thing they do. For Rana el Kaliouby, its one achievement in a series of unpredictable things that this self-described nice Egyptian girl has accomplished in her life.

In her remarkable book Girl Decoded, el Kaliouby shares her inspiring academic and professional journey. Alongside this, it is an intimate meditation about what it took from her personally to accomplish all that she has.

Born in Egypt to conservative Egyptian parents, the family spent several years in Kuwait and eventually fled back to Cairo when Iraq invaded Kuwait. Raised by her parents and grandparents, she ultimately got her Ph.D. from the University of Cambridge, barely pausing while giving birth to her first child. I practically coded my way into the delivery room, she said in her book. From there she was invited to the MIT Media lab to do her post-doc. She started Affectiva, an Emotion AI company, with cofounder Rosalind Picard stemming from their research, in 2009.

I asked her why she wrote the book. It was a journey of self-reflection, she told me. I realized that my own personal story of overcoming the inner voice of doubt and reconciling my culture and who I want to be is a story of inspiration to many people out there.

Her startup Affectiva, where she is now the CEO, creates artificial emotional intelligence (Emotion AI) software that detects nuanced emotions, complex cognitive states, behaviors, activities, and interactions. The technology is used by 25% of the Fortune Global 500 companies and is in 90 countries.

I asked her about her advice for startup leaders and for other pioneers like herself.

Work is important; relationships more so

El Kaliouby said that the mentors she had throughout her life were invaluable in helping push her when she needed it and overcome self-doubt. Her academic advisor Peter Robinson helped her navigate challenging experiences and her mentor at MIT Rosalind Picard became her cofounder of Affectiva.

After the success of her TED talk (which has 1.6 million views) and receiving the 2015 Ingenuity Award from the Smithsonian Institute she spoke to another key mentor who told her directly You need to become the CEO. Initially she couldnt take that in, but he encouraged her to visualize the path she would need to take to get there and see herself as CEO in the minds eye.

You have to find people that you look up to, that you trust, who you can have these really open conversations with, and that you know believe in you, she told me. I had never voiced ever that I wanted to be CEO. But I could with him.

El Kaliouby added that she didnt always understand the importance of relationships. I have a strong work ethic, she said. I always worked really hard and I thought the solution to everything was to just work more. And I realized in the last few years that relationships really matter. Making time to have coffee with this mentor even though he was never going to invest in Affectiva turned out to be so important.

Building those kinds of relationships takes time, so you have to invest in them and cultivate them. Its not always easy to do but it pays off.

Dont be somebody elses idea of a CEO

As she describes in her book, el Kaliouby was raised in a family that stifled emotions. She learned in her family not to complain, and that hard work would solve all problems.

As the cofounder and now CEO of her own company she had to find her own leadership style.

Im very empathetic, she said, and Ive decided to own that as opposed to try to be another Nick (the former CEO). He was the archetype picture of what a CEO is like. I wanted to do it my own way and I let my intuition be my guide.

In this time of the pandemic, el Kaliouby feels even more committed to this leadership style. Her advice to other CEOs is to start with empathy and be flexible. Make extra time to check in on people, she said. I said early on that physical health is important but mental health is just as important, so I asked people to block out time for themselves.

She also used technology to pair people to have coffee breaks together to replicate the organic connections people build at the office. And she uses deadlines to create camaraderie. People want to feel they are productive and doing meaningful work, and so when we take the time to connect everyone they turn around and rally to hit deadlines.

Stand by your core values

Early on el Kaliouby and her cofounder decided on a set of core principles that were important to them. El Kaliouby told me that as CEO she has kept coming back to those values to guide her decisions.

For example, we don't do any work in surveillance and security because that's not in line with our core values of respecting people's privacy. At one point Affectiva had an opportunity to raise about $40 million with the condition that they would sell to surveillance and security companies. It was scary, she said. Literally we didn't know if we were going to make payroll in a couple of months. I was thinking, okay, when do we tell the team? And who could cover if we need to? At the same time, I couldnt reconcile this investment offer with our core values. We had to walk away. But then we hunkered down when we were able to raise money from investors that shared our vision and values and they're still very engaged. It worked out. It was powerful because you see you can do it your way.

Eradicate imposter syndrome

El Kaliouby has dealt with imposter syndrome feelings of being a fraud or that she would fail regularly throughout her career. When she began to see herself as the CEO she had to negotiate with the voice in my head telling me Dont do it Rana. You will fail and bring the company down with you.

When she wrote her book she had a similar critic in her head. I thought that nobody is going to want to read my book or people are going to hate it. I had to say wait a second. People liked it, reviewed it, blurbed it. I have to come up with data points as a rebuttal to my self doubt.

El Kaliouby told me that she thinks this self-doubt is always present because she is always pushing herself outside of her comfort zone. Shes learned to have a dialogue with herself and use her journal to navigate the negative voices in her head and build conviction in her own capability.

Ultimately we all have to decode ourselves, to identify our personal obstacles and overcome them. As el Kaliouby says in her book: The voice in my head was filled with self-doubt. It whispered you cant. you shouldnt. you wont For the longest time I listened to that voice. But the journey that has taken me from nice Egyptian girl to strong woman in charge has been one of finding my own voice.

Everyone who reads this book will be inspired to take on the rewarding journey of finding their own voice.

Original post:
A Journey To Emotional (and Artificial) Intelligence - Forbes

Tesla and SpaceX CEO Elon Musk has claimed that Artificial Intelligence will be 'vastly smarter' than any human and would overtake us by 2025.

"We are headed toward a situation where AI is vastly smarter than humans. I think that time frame is less than five years from now. But that doesn't mean that everything goes to hell in five years. It just means that things get unstable or weird," Musk said in an interview with New York Times over the weekend.

This is not the first time that Musk has shown concern related to AI. Back in 2016, Musk said that humans risk being treated like house pets by AI unless technology is developed that can connect brains to computers.

He even described AI as an 'existential threat' to humanity.

"I think we should be very careful about artificial intelligence. If I were to guess like what our biggest existential threat is, it's probably that,'' he said.

However, Musk helped found the artificial intelligence research lab OpenAI in 2015 with the goal of developing artificial general intelligence (AGI) that can learn and master several disciplines.

Recently, OpenAI released its first commercial product, a programme to make use of a text-generation tool that it once called too dangerous.

It has the potential to spare people from writing long texts. Once an application is developed on the basis of the programme, all they need to give is a prompt.

OpenAI earlier desisted from revealing more about the software fearing bad actors might misuse it for producing misleading articles, impersonate others or even automate phishing content.

Musk has also co-founded Neuralink, a neurotechnology company, which is developing ultra high bandwidth brain-machine interfaces to connect humans and computers.

According to Musk, Neuralink will allow humans to compete with AI as well as help cure brain diseases, control mood and even let people "listen to music directly from our chips".

(With inputs from IANS)

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Artificial Intelligence Will Be Vastly Smarter Than Humans Within Five Years, Says Tech Billionaire Elon Musk - Swarajya

Currently ethics for AI focuses too much on high-level principles. Using AI to deal with crises would mean anticipating problems before they happen and building safety and reliability into it. Plus, ethics should be part of how AI is built and used, not an add-on or afterthought. Researchers and engineers need to think through the implications of what they build.

By Will HeavenJess Whittlestone at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge and her colleagues published a comment piece in Nature Machine Intelligence this week arguing that if artificial intelligence is going to help in a crisis, we need a new, faster way of doing AI ethics, which they call ethics for urgency. For Whittlestone, this means anticipating problems before they happen, finding better ways

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Artificial intelligence needs an update on ethics to be able to help humanity in times of crisis - Economic Times

WISeKey to Showcase its Cybersecurity Solutions for Artificial Intelligence Used in Drones and Robots at SIDO 2020

Drones and robotics sensitive applications are growing thus generating valuable data that has become a target for hackers. WISeKey has developed a comprehensive set of digital security solutions to protect Artificial Intelligence when in use to analyze our environment.

Geneva, Switzerland July 27, 2020: WISeKey International Holding Ltd. (WISeKey) (SIX: WIHN, NASDAQ: WKEY), a leading global cybersecurity and IoT company, announced today that it will be demonstrating its disruptive set of technologies to secure new Artificial Intelligence data acquisition devices, including drones and robots, at the 6th edition of the SIDO leading IoT, AI, Robotics and XR event (Lyon, France September 3-4, 2020).

Big Data is at the heart of our future society construction and management. Connected sensors are invading our environment to acquire a huge amount of data that are analyzed by Artificial Intelligence to predict and make decisions. According to Grand View Research, Inc., estimated the global Artificial Intelligence market reached at US$40B in 2019. The same study forecasts this market to explode to US$733.7B in 2027. Drones and robots are becoming central in this Internet of Things (IoT) revolution. They are therefore exposed to new cyberattacks that steal sensitive data or compromise their firmware and behavior.

Through decades of expertise in cybersecurity, WISeKey has designed complete end-to-end protection solutions for these systems, that could for instance be combined with the IBM Watson IoT offering. IBMs Watson IoT Platform is a cognitive system that learns from and infuses intelligence into the physical world. Device manufacturers and businesses can use the power of Watson IoT Platform to build specialized, integrated solutions to solve their business challenges. Watson IoT Platform implements a messaging broker that allows the exchange of information between devices and business applications, using a secure Public Key Infrastructure (PKI) technology to bring authentication and data encryption. This implies a seamless integration with the WISeKey concept of Root of Trust (RoT) that delivers a digital identity that can be leveraged later in the Watson IoT platform together with WISeKeys solutions such as:

After the recent announcement of our partnership with Parrot, the leading European drone group, to integrate our advanced digital security solutions into the Companys growing range of ANAFI drones, this participation in the SIDO 2020 event will be a new opportunity for WISeKey to explain how our certified digital security can help leading IoT device makers protect their customers assets, stressed Carlos Moreira, Founder and CEO of WISeKey. Our Company has become a key player in the cybersecurity arena, uniquely bringing its Swissness to the protection of Artificial Intelligence.

Want to know more? Come and meet with our experts at SIDO 2020 - Booth E213 Lyon, France September 3-4, 2020 (more information on http://www.sido-event.com and http://www.wisekey.com ). Immediately book your meeting slot at sales@wisekey.com.

About WISeKey

WISeKey (NASDAQ: WKEY; SIX Swiss Exchange: WIHN) is a leading global cybersecurity company currently deploying large scale digital identity ecosystems for people and objects using Blockchain, AI and IoT respecting the Human as the Fulcrum of the Internet. WISeKey microprocessors secure the pervasive computing shaping todays Internet of Everything. WISeKey IoT has an install base of over 1.5 billion microchips in virtually all IoT sectors (connected cars, smart cities, drones, agricultural sensors, anti-counterfeiting, smart lighting, servers, computers, mobile phones, crypto tokens etc.). WISeKey is uniquely positioned to be at the edge of IoT as our semiconductors produce a huge amount of Big Data that, when analyzed with Artificial Intelligence (AI), can help industrial applications to predict the failure of their equipment before it happens.

Our technology is Trusted by the OISTE/WISeKeys Swiss based cryptographic Root of Trust (RoT) provides secure authentication and identification, in both physical and virtual environments, for the Internet of Things, Blockchain and Artificial Intelligence. The WISeKey RoT serves as a common trust anchor to ensure the integrity of online transactions among objects and between objects and people. For more information, visitwww.wisekey.com.

Press and investor contacts:

Disclaimer:This communication expressly or implicitly contains certain forward-looking statements concerning WISeKey International Holding Ltd and its business. Such statements involve certain known and unknown risks, uncertainties and other factors, which could cause the actual results, financial condition, performance or achievements of WISeKey International Holding Ltd to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. WISeKey International Holding Ltd is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities, and it does not constitute an offering prospectus within the meaning of article 652a or article 1156 of the Swiss Code of Obligations or a listing prospectus within the meaning of the listing rules of the SIX Swiss Exchange. Investors must rely on their own evaluation of WISeKey and its securities, including the merits and risks involved. Nothing contained herein is, or shall be relied on as, a promise or representation as to the future performance of WISeKey.

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WISeKey to Showcase its Cybersecurity Solutions for Artificial Intelligence Used in Drones and Robots at SIDO 2020 - GlobeNewswire

BOSTON & TORONTO--(BUSINESS WIRE)-- Cerevel Therapeutics, a company dedicated to unraveling the mysteries of the brain to treat neuroscience diseases, and Cyclica, whose AI-augmented, integrated platform enables multi-objective, polypharmacology-informed design of drug molecules, today announced a research collaboration aimed at accelerating the discovery of novel medicines for neuroscience diseases. Through this collaboration, Cerevel will use Cyclicas Ligand Express and Ligand Design proprietary AI platforms to screen, identify, design and evaluate compounds directed at pre-specified targets for neuroscience diseases.

Cerevel aims to be the premier neuroscience company by applying state-of-the-art technology and a differentiated approach to developing novel medicines, said John Renger, Ph.D., chief scientific officer at Cerevel Therapeutics. We are using Cyclicas world-class AI platform for high throughput screening in compound identification and optimizationwhich we believe can more efficiently identify new therapeutic molecules with symptomatic or disease-modifying potential. Utilizing cutting-edge tools like Cyclicas is one of the many ways we are creating a leading neuroscience drug discovery and development platform for the future.

Leveraging Cyclicas multi-targeted, proteome-wide approach, combined with Cerevels novel and relentless pursuit of advancing neuroscience, has the potential to bring medicines to patients suffering from neurological diseases faster, said Vern De Biasi, vice president and global head of strategic partnerships at Cyclica.

In addition to its pipeline of five clinical assets and seven pre-clinical programs, Cerevel is pursuing undisclosed targets for numerous neurological indications, including those with disease-modifying potential. Cerevel is supporting these efforts through the use of AI, as well as human genetic analyses and DNA-encoded chemical libraries, to better understand the therapeutic potential of numerous chemical lead series.

AI-based in silico drug design has made dramatic progress over the past five years and can significantly enhance our approach to designing potent and selective small molecules based upon predicted three-dimensional structure of protein targets, said David Stone, head of genetics and biomarkers at Cerevel Therapeutics. We will use Cyclicas AI platforms to rapidly generate unique chemical matter for synthesis and testing, with the goal of faster development of new medicines for patients living with neuroscience diseases.

Cyclicas drug discovery platform accelerates pre-clinical drug development by considering the polypharmacological profiles and medicinal properties of drug candidates simultaneously during the design process, said Vijay Shahani, director of applied science at Cyclica. We are excited by the opportunity to combine our technological approach with Cerevels strong expertise in neuroscience to drive the development of meaningful therapeutics.

Terms of the collaboration with Cyclica are not disclosed.

About Cerevel Therapeutics

Cerevel Therapeutics is dedicated to unraveling the mysteries of the brain to treat neuroscience diseases. The company seeks to unlock the science surrounding new treatment opportunities through understanding the neurocircuitry of neuroscience diseases and associated symptoms. Cerevel Therapeutics has a diversified pipeline comprising five clinical-stage investigational therapies and several preclinical compounds with the potential to treat a range of neuroscience diseases, including Parkinsons disease, epilepsy, schizophrenia and substance use disorder. Headquartered in Boston, Cerevel Therapeutics is advancing its current research and development programs while exploring new modalities through internal research efforts, external collaborations or potential acquisitions. For more information, visit http://www.cerevel.com.

About Cyclica

Cyclica is the first company to approach polypharmacology with a structure-based, AI-augmented in silico discovery platform, centered on Ligand Design and Ligand Express. Powered by MatchMaker, a proprietary deep learning proteome screening technology, and POEM, an innovative supervised learning technology for predicting molecular properties, Cyclicas platform is suited uniquely to the design of novel, chemical matter by simultaneously prioritizing compounds based on their on- and off-target polypharmacological profiles as well as their developmental properties. With a world-class team that has deep roots in the industry, a first-in-class platform, and an innovative decentralized partnership model, Cyclica is creating medicines with greater precision for unmet patient needs.

Special Note Regarding Forward-Looking Statements

This press release contains forward-looking statements that are based on managements beliefs and assumptions and on information currently available to management. In some cases, you can identify forward-looking statements by the following words: may, will, could, would, should, expect, intend, plan, anticipate, believe, estimate, predict, project, potential, continue, ongoing or the negative of these terms or other comparable terminology, although not all forward-looking statements contain these words. These statements involve risks, uncertainties and other factors that may cause actual results, levels of activity, performance or achievements to be materially different from the information expressed or implied by these forward-looking statements. Although we believe that we have a reasonable basis for each forward-looking statement contained in this press release, we caution you that these statements are based on a combination of facts and factors currently known by us and our projections of the future, about which we cannot be certain. Forward-looking statements in this press release include, but are not limited to, statements about the potential of artificial intelligence platforms to accelerate the discovery and development of novel medicines for neuroscience diseases. We cannot assure you that the forward-looking statements in this press release will prove to be accurate. Furthermore, if the forward-looking statements prove to be inaccurate, the inaccuracy may be material. In light of the significant uncertainties in these forward-looking statements, you should not regard these statements as a representation or warranty by us or any other person that we will achieve our objectives and plans in any specified time frame, or at all. The forward-looking statements in this press release represent our views as of the date of this press release. We anticipate that subsequent events and developments will cause our views to change. However, while we may elect to update these forward-looking statements at some point in the future, we have no current intention of doing so except to the extent required by applicable law. You should, therefore, not rely on these forward-looking statements as representing our views as of any date subsequent to the date of this press release.

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Cerevel Therapeutics and Cyclica Announce Research Collaboration to Use Artificial Intelligence to Accelerate Discovery of Novel Medicines in...

The researchers at De Montfort University Leicester studied attendance data using AI models.

And they say artificial intelligence is the way forward to improve pupil attendance at all schools.

The experts found Monday morning was the most common time for absenteeism at the school, with potential reasons including separation anxiety, taking extended weekend breaks and a lack of motivation to attend school after time off.

To improve attendance, the researchers developed a two-pronged approach.

Firstly, they increased the frequency and value of rewards given for full attendance, holding monthly raffles with prizes for those children who had not missed a day of school during that month.

Secondly, they introduced a Monday Matters initiative, giving pupils fun activities to look forward to on their first day back after the weekend.

Thanks to these measures, Willen Primary achieved the required national average attendance of 96 per cent for the first time in four years. They also saw a huge improvement in persistent absenteeism, which improved by more than 55 per cent compared with a year ago.

Dr Raymond Moodley, a visiting researcher at De Montfort's Institute of AI, was leading the project along with his colleagues Professor Francisco Chiclana, Dr Fabio Caraffini, and Dr Mario Gongora.

Dr Moodley said: By using AI, we were able to pinpoint the problem areas for attendance at Willen Primary School, which in this case was Monday mornings.

One of the key changes we wanted to make was to increase the incentives on offer for pupils who have a 100 per cent attendance record over a shorter time frame. Schools typically tend to reward children on an all or nothing basis by only recognising pupils who have full attendance for the entire year.

However, our approach sets shorter-term goals for the children which makes it more achievable, and if they fail to achieve full attendance in one month, then they can always try again the following month.

Pupils that are persistently absent are typically shown to have the weakest performance at school. Persistent absenteeism is also higher for those children that receive free school meals.

Carrie Matthews, headteacher at Willen Primary School, said: The novel approach provided by the team at the Institute of AI allowed us to improve our understanding of our attendance and put impactful plans in place to reduce absenteeism. The results of our collaboration have been fantastic!

Dr Moodley and his fellow researchers are now developing an easy-to-use AI-enabled absenteeism diagnostic tool that will eventually be available for schools across the UK to download.

Schools will be able to upload their own attendance data from their attendance recording systems and gain insights into their attendance using the AI models.

Attendance is just one parameter measured by Ofsted when it comes to a schools overall performance, said Dr Moodley.

We also want to look at other factors that impact pupil performance and outcomes in later life. These include motivations for choosing subjects particularly girls in STEM (Science, Technology, Engineering, and Mathematics) as well as behavioural management, and optimising the learning environment (classroom layout, timetable design etc.)

AI is tremendously powerful, and we want to harness this power to maximise the overall performance of every child in every school.

Dr Moodley and his colleagues, who are members of a research interest group called RiSE (Research in Societal Enhancement), are currently engaged in a number of AI-led projects in areas including crime prevention, agricultural sustainability, alternative solutions to managing pandemics, and medicine.

For more information about the Institute of AI at De Montfort University visit here

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Four university experts use Artificial Intelligence to discover that children don't like going to school on Mondays in Milton Keynes - Milton Keynes...