In this study, we explore the efficiency of the Monte Carlo Tree Search (MCTS), a prominent decision-making algorithm renowned for its effectiveness in complex decision environments, contingent upon the volume of simulations conducted. Notwithstanding its broad applicability, the algorithm's performance can be adversely impacted in certain scenarios, particularly within the domain of game strategy development. This research posits that the inherent branch divergence within the Da Vinci Code board game significantly impedes parallelism when executed on Graphics Processing Units (GPUs). To investigate this hypothesis, we implemented and meticulously evaluated two variants of the MCTS algorithm, specifically designed to assess the impact of branch divergence on computational performance. Our comparative analysis reveals a linear improvement in performance with the CPU-based implementation, in stark contrast to the GPU implementation, which exhibits a non-linear enhancement pattern and discernible performance troughs. These findings contribute to a deeper understanding of the MCTS algorithm's behavior in divergent branch scenarios, highlighting critical considerations for optimizing game strategy algorithms on parallel computing architectures.

At the beginning of February 2023, the Council of Europe Committee on Artificial Intelligence published the "zero" draft Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law. The document is dated 6 January, 2023, and is the Council of Europe's preliminary proposal for the AI future regulatory framework. The Council of Europe began work on the draft in September 2019, and was tasked with examining the feasibility of creating a legal framework to ensure that the design, development and application of AI systems would adhere to standards on human rights, the functioning of democracy and the observance of rule of law . At the beginning of 2022, the Council of Europe set up the Committee on Artificial Intelligence (CAI), which published the revised "zero" draft [Framework] Convention on Artificial Intelligence, Human Rights, Democracy and the Rule of Law, dated 6 January 2023, in February 2023[1]. The Convention is being drafted to establish only a general framework on application of AI systems. Upon examination, even though it is a preliminary and working document, the proposal reveals that the envisaged Convention will not provide for requirements or bans directly applicable to private and legal persons.

The TechCrunch Global Affairs Project examines the increasingly intertwined relationship between the tech sector and global politics. Geopolitical actors have always used technology to further their goals. Unlike other technologies, artificial intelligence (AI) is far more than a mere tool. We do not want to anthropomorphize AI or suggest that it has intentions of its own. It is not -- yet -- a moral agent.

Radiomics is a process designed to extract a large number of quantitative image features using data-characterization algorithms.2,3 Radiomics allows data mining and statistical classifiers to determine the relevant features of an image to the target task and to build a prediction model, that is helpful to diagnose disorders in medical imaging. The radiomic features generally include size and shape based-features, intensity histogram, image voxel relationships, and filtered features and fractal features.4 Recently, radiomics showed to be able to differentiate hypertrophic cardiomyopathy from hypertensive heart disease; the integration of six texture and histogram features achieved an accuracy of 85.5%, outperforming the accuracy of conventional T1 weighted imaging of 64%.5 Radiomic texture analysis of late iodine enhancement on CT images reflects left ventricle remodeling and systolic–diastolic function, and may help to identify different patterns of structure remodeling.6 Coronary plaques are small and have a limited number of voxels, and are therefore very challenging for image analysis. Kolossvary et al demonstrated that the voxels of a coronary plaque were sufficient to perform a radiomic analysis, and found that 21% of radiomic parameters were significantly different between plaques with and without the napkin-ring sign and that radiomic parameters had a higher area under curve (AUC) than conventional parameters (0.92 vs 0.75).7 Kolossvary et al also performed a radiomic approach to identify advanced atherosclerotic lesions ex vivo, and showed a better AUC than visual assessment (0.73 vs 0.65).8

Is artificial intelligence (AI) a friend or foe? Even today, this debate remains highly polarized among non-scientists. AI's critics can be somewhat alarmist, while its advocates see enormous potential to achieve competitive advances that would otherwise be out of reach. There are two main types of AI. The first is artificial general intelligence (AGI), also known as "strong" AI.

Machine learning and artificial intelligence (AI) have long been heralded as the future of transformative technologies. From diagnostic and imaging technologies to therapeutic applications and robotics, the potential for machine learning and AI technologies reaches almost every corner of the medtech world. So, what does that mean for the development and application of next-gen medical devices? Dave Saunders is the chief technology officer of Galen Robotics, an emerging surgical robotics company that specializes in a new line of robotic technologies that provide a cooperatively controlled surgical platform. The company aims to provide robot-assisted technologies that can extend increased precision and unprecedented tool stabilization to microsurgery procedures.

NEC Corporation has established a new company that promotes the development and application of therapeutic cancer peptide vaccines using advanced Artificial Intelligence (AI) technology. The new company, CYTLIMIC Inc. (CYTLIMIC), will use NEC the WISE AI technologies combined with machine learning and experimentation to produce a unique "immune function prediction technology" that is able to efficiently discover peptides that are potential vaccines in a short period of time and at a low cost. NEC has been engaged in collaborative research since 2014 with Yamaguchi University and Kochi University, and in clinical research with Yamaguchi University, resulting in the discovery of a peptide vaccine that promises to be effective in the treatment of hepatoma and esophageal cancer and is compatible with the genetic profile of approximately 85 percent of Japan's population. Currently, it is also advancing its application as a new cancer drug through CYTLIMIC, by developing investigational use formulations of the discovered peptide vaccine, confirming its safety and efficacy through nonclinical and clinical tests, and investigating its commercialization with pharmaceutical companies. In recent years, advances in life science have been accompanied by advances in elucidating the human immunity mechanism, and new cancer therapies that utilize immunity are being administered.

In this way it identifies buildings, vehicles, persons, trees and pavements among other things and reliably finds traffic lights as well as smaller dangerous obstructions on the road. Based on this, the autonomous vehicle analyses the traffic situation, predicts the behaviour of other road users and decides on its own behaviour. 'In daylight many systems for image and pattern recognition, on the market are reliable', says Dr Uwe Franke, responsible for image recognition/signal processing and sensor fusion in the Mercedes-Benz development department. 'Meanwhile, our system even offers top level results at night and that is a major development. The next step is about recognising and interpreting people's gestures and facial expressions.'