Israeli artificial intelligence (AI) peptide drug discovery company Pepticom announced today that it has raised $5 million in a Series A financing round from the Chartered Group. The Jerusalem-based company's AI technology streamlines and significantly accelerates the ability of researchers to discover advanced peptide-based drug candidates. Peptides are used in various therapies, and are recognized for being highly selective and efficacious as well as relatively safe. The pharma industry has recently shown an increased interest in peptide research and development, leading to a resurgence of peptide drug candidates. The process of discovering new peptides with lifesaving potential, however, is still costly and time consuming.

Jerusalem-based drug discovery start-up Pepticom announced Thursday that it had managed to secure $5 million in Series A funding from the Chartered Group investment firm. The start-up, which was founded in 2011 after it spun out of Yissum, the Hebrew University of Jerusalem's technology transfer company, utilizes advanced AI technology to discover new peptide-based drug candidates and alleviate development risks by searching an enormous set of possible solutions. This streamlined and less risky process has turned them into world leader in the field of peptide drug discovery.

Robots, especially humanoid robots, never fail to fascinate people. For years, robotic companies have been trying to perfect this technology, from algorithms down to aesthetics. From building robots that look like nothing but sheer metals, most robotics companies are now into developing robots that appear like real humans, head to toe. You may know Sophia, the humanoid robot with humor like a human. Aside from its unbelievable intelligence, the female robot has also a human-like face that can show off different emotions.

TEMPO.CO, Jakarta - The Indonesia Artificial Intelligence Society (IAIS) inaugurated its establishment inder the Smart Indonesia Initiative Association. IAIS is led by Lukas with a vision to create new inventions through innovation and artificial intelligence in Indonesia. During the inauguration of IAIS on Friday, October 25, 2019, Lukas stated that IAIS was established with two main missions: to create an artificial intelligence ("AI") roadmap for the country, and "to develop the competency of local AI and technological leadership with a focus on academic, business, and government." Lukas said that to achieve its vision and mission, IAIS was established on three main foundations: research department, technology, and innovation. "The three departments are the foundation to achieve Indonesia's interest," Lukas added.

The tool, which has been named Fashion, uses visual-recognition algorithms to analyse the key features of garments captured in a photograph, including colour, pattern, texture and shape. It then ranks small tweaks according to how much impact they could have on the overall appearance of the outfit, before presenting several options. Suggested changes could include switching to a longer jacket or picking a sleeveless top. "We thought of it like a friend giving you feedback," said Professor Kristen Grauman, a computer science expert specialising in computer vision. "It's also motivated by a practical idea: that we can work with a given outfit to make small changes so it's just a bit better."

The tool, which has been named Fashion, uses visual-recognition algorithms to analyse the key features of garments captured in a photograph, including colour, pattern, texture and shape. It then ranks small tweaks according to how much impact they could have on the overall appearance of the outfit, before presenting several options. Suggested changes could include switching to a longer jacket or picking a sleeveless top. "We thought of it like a friend giving you feedback," said Professor Kristen Grauman, a computer science expert specialising in computer vision. "It's also motivated by a practical idea: that we can work with a given outfit to make small changes so it's just a bit better."

SAN FRANCISCO – Google on Friday announced its "biggest leap forward" in years in its search algorithm, offering an unusually detailed public explanation of its secret formula. The world's most popular internet search engine said its latest refinement uses machine learning to improve how it handles conversationally phrased English-language requests. "We're making a significant improvement to how we understand queries, representing the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of search," Google search vice president Pandu Nayak said in an online post. The California-based internet company last year debuted a neural network-based technique for processing "natural language." The company said the new effort is based on what it calls Bidirectional Encoder Representations from Transformers (BERT), which seeks to understand query words in the context of sentences for insights, according to Nayak.

Aqsa, An engineering graduate from the National University of Sciences & Technology (NUST) broke all stereotypes regarding Women and technology. Machine Learning is the use of Artificial Intelligence that encourages the PC framework to anticipate the result and make a move that is required without being explicitly programmed. Aqsa Kausar has become Pakistan's first female Google Developer Expert in Machine Learning. Aqsa got a Bachelor's degree in Electrical Engineering from NUST with a CGPA of 3.79. She has just become well known at such a youthful age by contributing immeasurably in the field of Machine Learning.

Have you ever felt overwhelmed by the sheer number of images or documents, or hours of video footage you needed to sort through for a report? Training a machine to do the work for you may be the answer. Learn how artificial intelligence can improve your reporting with the new course from the Knight Center for Journalism in the Americas and instructor John Keefe, "Hands-on Machine Learning Solutions for Journalists." The four-week Big Online Course (BOC) runs from Nov. 18 to Dec. 15, 2019 and costs $95, which includes a certificate for those who successfully complete the course requirements. "At the end of this class, students will have a much better understanding of machine learning. They will actually be able to sort documents, especially images, based on the criteria they set up," said Keefe, who uses these techniques in his work as investigations editor at Quartz.

Neural style transfer was developed in 2015 by Leon Gatys and colleagues at the University of Tubingen in Germany. It comes about from a fascinating insight into the way neural networks learn to recognize images of different kinds. Neural networks consist of layers that analyze an image at different scales. The first layer might recognize broad features like edges, the next layer sees how these edges form simple shapes like circles, the next layer recognizes patterns of shapes, such as two circles close together, and yet another layer might label these pairs of circles as eyes. This kind of network would be able to recognize eyes in paintings in a wide variety of styles, from Leonardo da Vinci to Van Gogh to Picasso.