When medicinal chemistry was born a hundred years ago, a drug design methodology was expected to be based on the knowledge of the relations among chemistry, biology and medicine. Originally, chemists believed that a drug molecule consists of a scaffold with several substituents. While the substituents were replaced by alternate functional groups (aka substructures), the activity value of the molecule would be changed accordingly. This is termed as structure–activity relationship (SAR), which can be used to guide chemists to chemically modify the molecule to improve its druggability. Along with the progress of computing technology, SAR evolved into QSAR (Quantitative SAR). QSAR method prevailed in the era when determinism dominated the scientific community.

In this case, the human can communicate with the messenger robot through gestures such as raising a hand with a closed fist. Using its onboard camera and skeletal tracking algorithms, the robot can recognize the gesture. Once the human has shown the messenger robot the location of the package, it relays this information to the handling robot. Positioning itself in front of the handling robot and tracing a specific shape on the ground is required. The shape's orientation indicates the required direction of travel, while the time it takes to trace it indicates the distance.

A survey carried out by Air Transport IT Insights recently found that almost half of global airlines and 32% of airports are currently looking for partners to further develop their robotic involvement in the next three years. The latest developments see robots staffing airport check-in desks, carrying out security protocols, cleaning and even delivering food to passengers. The airport security segment currently has the highest number of robots according to the Airport robots market – growth, trends, Covid-19 impact, and forecasts 2021-2026 report by Mordor Intelligence. The next most common use of airport robotics is for cleaning, which has seen a rise in demand due to the Covid-19 pandemic. PHL Food and Shops have introduced a new member to their team Philadelphia International Airport, Gita.

The food service industry faces steep labor, quality control and sustainability challenges exacerbated by the pandemic. According to NSF International, a product testing and certification organization, more than half of quick-service restaurant (QSR) managers found staff turnover to be an issue for their business, with 20% saying that it had the biggest negative impact on operations within the past several months. One in 10 managers and employees admitted to NSF in a February survey that, facing high order volumes, they recently skipped automatic cleaning cycles or ignored error messages on equipment. Ingo Stork-Wersborg claims his company, PreciTaste, has the solution -- with the key ingredient being AI. PreciTaste sells a service that monitors food quality in quick-service kitchens, predicting demand and supply to make order prep recommendations to workers.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! The promise of evolutionary algorithms has been around for several years, offering organizations the elusive prospect of an advanced self-learning approach for artificial intelligence (AI). A key challenge, however, has been that few evolutionary algorithm technologies have been available under an open-source license. That is changing today: Switzerland-based AI vendor NNAISENSE announced the formal release of its EvoTorch open-source evolutionary algorithm technology.

The Turing Test was developed by Alan Turing in 1950. Alan Turing was a renowned English mathematician, logician, cryptographer, and computer scientist. He is widely known for his notable work of developing the Universal Turing Machine in 1936, which is said to form the basis of the first computers. Alan Turing also played a crucial role in breaking the German Enigma Code during World War II. In 1950, Alan Turing introduced the Turing test in his paper "Computing Machinery and Intelligence."

Luxonis, a manufacturer of robotic vision solutions, has signed a distribution agreement with Westbase.io, The addition of Luxonis to its portfolio brings robotic vision, artificial intelligence and machine learning capabilities to the Westbase.io "Luxonis' new generation of robotic vision solutions is making spatial AI accessible for endless possibilities. By embedding complex technologies, such as computer vision and machine learning, into a camera solution that is simple to integrate and deploy, we believe they are leading the way in their market," said Sacha Kakad, managing director of Westbase.io. "Adding their solutions to our XR portfolio takes us into brand new markets and applications, while still leveraging our leading expertise and support offerings in distributed enterprise and connected technologies."

When you go on a road trip, you pack snacks and drinks and make sure you have good music to queue. Climate scientist Katia Lamer, on the other hand, packs party balloons loaded with atmospheric sensors, then climbs into a laser-firing observatory on wheels. Lamer--director of operations at the Brookhaven National Laboratory's Center for Multiscale Applied Sensing--recently completed a 1,700-mile road trip from Upton, New York, to Houston, Texas, in a specially designed science truck while taking a bevy of measurements, from air temperature to humidity to wind. The big plan: better understanding the complex climate dynamics of cities, where conditions can vary wildly not only from neighborhood to neighborhood, but door to door. "The big difference with urban environments is that they're much more heterogeneous than natural environments. What that means is that there are more elements, like individual buildings, that create these canyons," says Lamer, referring to the corridors between structures.

'Robot dogs' are being tested by the US Space Force so they can carry out patrols of the Cape Canaveral Space Force Station. The $150,000 (£123,000) four-legged bots can be equipped with a wide variety of optical and acoustic sensors, allowing them to serve as the'eyes and ears' around sensitive areas of the base. They are being used for patrols'to save significant man hours', according to a statement from the Department of Defense. Space Launch Delta 45 – the unit responsible for all space launch operations from Kennedy Space Center and Cape Canaveral – used at least two Vision 60 unmanned ground vehicles (Q-UGVs), or'robot dogs', during the two-day test last month. Built by Ghost Robotics, the robots can be operated either autonomously or by a human controller.

AI applications are starting to appear in almost all aspects of our everyday lives, from healthcare and finance to entertainment and environmental protection. But a large number of AI applications never make it from concept to implementation, and an even larger amount never even get started. How do we enable more data scientists and developers to quickly create the path from data to insights with the data and compute resources available to them? The key to traversing this path and enabling AI everywhere is software that both unlocks hardware performance and maximizes developer productivity. Dr. Wei Li is the Vice President and General Manager of AI & Analytics at Intel.