Computing and artificial intelligence: Humanistic perspectives from MIT

The advent of artificial intelligence presents our species with an historic opportunity — disguised as an existential challenge: Can we stay human in the age of AI?  In fact, can we grow in humanity, can we shape a more humane, more just, and sustainable world? I am cautiously optimistic that the answer will be yes because after several centuries of the ongoing industrial-technical revolution, we are reaching a new stage of maturity.

As AI and other advanced technologies become ubiquitous in their influence and impact, touching nearly every aspect of life, we have increasingly seen the need to more consciously align powerful new technologies with core human values — integrating consideration of societal and ethical implications of new technologies into the earliest stages of their development. Asking, for example, of every new technology and tool: Who will benefit? What are the potential ecological and social costs? Will the new technology amplify or diminish human accomplishments in the realms of justice, democracy, and personal privacy.

5 Ways Artificial Intelligence Brings Diversity to the Modern Workplace

Diversity has become one of the pillars of the modern business world, and in many countries across the globe, it is one of the prerequisites for a company to even exist, let alone build a thriving brand. In the quest for higher workplace diversity and a more diverse recruitment process that nurtures equality among genders, races, and communities, business leaders are increasingly employing the help of Artificial Intelligence.

As if AI wasn’t popular enough throughout the modern business sector, HR specialists are now leveraging its computing power and laser-like precision to pinpoint brand weaknesses and opportunities, and bring the right employee to the company without sacrificing diversity in the process. With that in mind, let’s take a look at the five ways Artificial Intelligence can help you build a more diverse workforce, in order to ensure compliance and take your company to new heights of success.

Emphasizing Gender-Neutral Recruiting

Waging a War on Wage Gaps

Discovering Opportunities for the Disabled

Aiding the Recruitment of Diverse Talent

Enhancing Awareness in the Workplace and Beyond

Wrapping Up

Milan Fashion Week and Fashion Law Trends - Can Artificial Intelligence create a style The relationship between fashion and technology

 AI is transforming the fashion industry in every element of its value chain and marketplace. In last years, all retail giants are using AI to improve the efficiency of sales systems and processes and to enhance clients’ shopping experience, offering a personalized service tailored on their interests and preferences.

Most of the biggest fashion houses – from H&M to Tommy Hilfiger – are now investing in algorithms that suggest styles to their customers.

How artificial intelligence is transforming the standard of higher education

Artificial Intelligence and machine learning have disrupted human activity since its inception in the 1960s. Today, we depend on intelligent machines to perform highly sophisticated and specific tasks without explicit human input. Rather, they rely on patterns and inferences instead. AI algorithms have been used in a wide variety of applications, from email filtering and computer vision to the disruption of the retail, travel and finance industries.

An ancient sector of our economy, and one that has largely remained unchanged; education- has yet to realize the full implications of artificial intelligence within its operations. Until recently, university students are taught via a ‘one module fits all’ structure, within the confines of a classroom, with very little personal and individually constructed development procedures.

What Makes Artificial Intelligence Marketing so Powerful

Artificial Intelligence and Machine Learning form the core of many industries today, not barring marketing. AI helps bridge the gap between Data Science and Execution.

Artificial Intelligence Marketing is an emerging technology that is poised to become an essential part of marketing strategies in the coming days. But what exactly is Artificial Intelligence Marketing?

AI Marketing is a process of utilizing customer data and AI concepts to predict customers’ next moves and perk up the customer journey. It enables marketers to build a clearer picture of their target audiences so as to provide them with what they anticipate. The state of Artificial Intelligence Marketing wouldn’t have been possible without some of the core elements, Big Data, Machine Learning, and the right solutions.

The rise of the robo-restaurant: AI is ready to take your order

Have you ever stood at the counter of a fast-food restaurant unsure of what to order? Well, that could become a thing of the past – artificial intelligence is cooking up something especially for you.

Many restaurants have already deployed automation, artificial intelligence, and machine learning, using innovations such as chatbots to guide customers through menus and help them order. But the next wave of food service automation is going even further. Here’s how.

Pay with your face

KFC is using facial recognition and AI in China. A large interactive screen greets customers with an image of themselves, taken from in-built cameras. After guiding them through the order process, and entertaining them along the way, the AI has learned two things: what they look like and what they like to eat. It lets people pay using facial recognition too, and the next time they visit it will not only recognize them, but it will also remind them of their last order.

Police fear bias in use of artificial intelligence to fight crime

British police officers are among those concerned that the use of artificial intelligence in fighting crime is raising the risk of profiling bias, according to a report commissioned by government officials. The paper warned that algorithms might judge people from disadvantaged backgrounds as “a greater risk” since they were more likely to have contact with public services, thus generating more data that in turn could be used to train the AI. 

“Police officers themselves are concerned about the lack of safeguards and oversight regarding the use of algorithms in fighting crime,” researchers from the defense think-tank the Royal United Services Institute said.  The report acknowledged that emerging technology including facial recognition had “many potential benefits”. But it warned that assessment of long-term risks was “often missing”. 

Improving the Health Care Consumer Experience with Conversational AI

Among health care C-suite executives, 69% report that improving the health care consumer experience is their organization’s first or second top strategic priority in 2019, according to just-published research from Sage Growth Partners. This means that common improvement initiatives, including staffing changes, technology and patient navigation have shot to the top of “must-have” lists.

A fragmented delivery system, rising cost pressures and increased consumer expectations are rapidly changing the health care industry.

Health care organizations — whether payer, provider, pharma or device manufacturers — need to engage with patients beyond brick and mortar walls in cost-effective ways that are seamless, multimodal and natural to the patient populations that they serve.

What’s Powering Artificial Intelligence

While artificial intelligence (AI) and machine learning (ML) applications soar in popularity, many organizations are questioning where ML workloads should be performed. Should they be done on a central processor (CPU), a graphics processor (GPU), or a neural processor (NPU)? The choice most teams are making today will surprise you.

To scale artificial intelligence (AI) and machine learning (ML), hardware and software developers must enable AI/ML performance across a vast array of devices. This requires balancing the need for functionality alongside security, affordability, complexity and general compute needs. Fortunately, there’s a solution hiding in plain sight.

Artificial intelligence: an open source future

Artificial intelligence (AI) is transforming everything in our daily lives, from customer experience and healthcare to manufacturing and agriculture. As a result, we’re seeing exponential growth in AI funding. In fact, in the UK alone investment for AI developers from venture capital increased more than 200 percent last year. This comes as no surprise when you consider the growing number of AI startups being founded. According to a recent study from Stanford University, in the last 20 years there has been a 14-times increase in the number of AI startups.

At the same time, we’re seeing an increasing number of technology companies invest in AI development. However, what’s really interesting is that these companies - including the likes of Microsoft, Salesforce, and Uber - are open sourcing their AI research. This move is already enabling developers worldwide to create and improve AI & Machine Learning (ML) algorithms faster. As such, open-source software has become a fundamental part of enabling fast, reliable, and also secure development in the AI space.

Artificial Intelligence Can Spot Plankton from Space

Scientists mimicked the neural networks of the brain to map phytoplankton types in the Mediterranean Sea. A new study published in the Journal of Geophysical Research: Oceans presented a new method of classifying phytoplankton that relies on artificial intelligence clustering.

Phytoplankton blanket surface waters of the world’s oceans and pigments in their cells absorb certain wavelengths of light, like the chlorophyll that gives plants their green color. Viewed from space, the color of the ocean’s surface changes depending on the phytoplankton growing there. In the Mediterranean Sea, where the latest study focused its efforts, an array of phytoplankton species bloom throughout the year.

Past research has mined satellite images of ocean color in the Mediterranean for common pigments found in phytoplankton. A combination of pigments can reveal a certain type of dominant phytoplankton in the area, like certain species of diatoms that can be spotted because of their unique orange pigment, fucoxanthin. But connecting the complex relationships between satellite image pixels, pigments, and phytoplankton types can make for a tricky analysis.