Commercial property firm Jones Lang LaSalle Inc. announced Wednesday its intent to acquire artificial intelligence startup Skyline AI Inc., in the latest example of how the technology is increasingly being used to gain a competitive advantage in the real-estate industry. The real-estate and investment management services firm known as JLL said it plans to use New York-based Skyline AI's technology to help clients predict future property values, identify new investment opportunities and decide when to raise rent, renovate or sell, among other business decisions. "It'll give our real estate clients deeper and faster insights," related to buying, developing, operating, selling and financing properties, said Yishai Lerner, co-chief executive of JLL Technologies, a division that focuses on enhancing technology capabilities for JLL. JLL manages more than 5.4 billion square feet of real-estate property around the world and its clients include owners of so-called multifamily or residential buildings, as well as institutional pension funds, insurance companies and real-estate property companies, among others. The deal for Skyline AI will close within days, Mr. Lerner said.

One of the most frequently-used phrases at business events these days is "the future of work." It's increasingly clear that artificial intelligence and other new technologies will bring substantial changes in work tasks and business processes. But while these changes are predicted for the future, they're already present in many organizations for many different jobs. The job and incumbents described below are an example of this phenomenon. Steve Miller of Singapore Management University and I are collaborating on these stories.

Quantum Corporation, a global leader and pioneer in video and unstructured data solutions, today announced it was added to the Russell 2000 Index, Russell 3000 Index and the Russell Microcap Index when the indexes reconstituted on June 26, 2020. Quantum Chairman and CEO Jamie Lerner says inclusion in the Russell 2000 and Russell Microcap Indexes is further validation of the significant progress the Company has made to turnaround the business. "These Indexes comprise the most recognizable listed companies and serve as a benchmark for the micro- and small-cap markets. Our inclusion speaks to the substantial advancements we have made over the past year and will increase our exposure to the investment community. This will facilitate our continuing path to growth and advance our vision and strategy as the leader in video and unstructured data solutions."

Peptides are the hottest area of new drug development. Medications derived from these "short" naturally occurringproteins – a midpoint between small molecules and large antibodies -- are highly targeted and often much less toxic than other treatments. It's no wonder, then, that peptide-derived drugs have become a $20 billion market, expected to grow to $43 billion by 2024, according to Zion Market Research. Insulin is probably the most famous peptide drug. Newer peptide-derived medicines like Victoza and Byetta also treat diabetes; Zoladex, Lupron and Sandostatin are used to fight cancer.

The Israeli company announced the closing of its Series A funding at $5m (€4.49m) from the Chartered Group investment firm, which is expected to use the funds to enable further development of artificial intelligence (AI) models that can be used in peptide drug discovery. According to the company, the pharmaceutical industry has recently shown an increased interest in peptide R&D, leading to a resurgence of peptide drug candidates for various indications, since the molecules can be'highly selective and efficacious, as well as relatively safe'. The AI technology developed by Pepticom aims to streamline and accelerate researcher's discovery of peptide-based drug candidates, compared to traditional methods which are'costly and time consuming', the company stated. Discovery is achieved "by searching an enormous set of possible solutions, vastly reducing the risk of failure during development." More specifically, the technology covers a chemical space of 1,030 possible molecular options, which is larger than current screening techniques.

Researchers with Ben-Gurion University of the Negev in Israel have created an artificial intelligence platform for tracking and predicting the progression of neurodegenerative diseases. The platform, developed by professor Boaz Lerner of the university's department of industrial engineering and management, will first be used for amyotrophic lateral sclerosis, also called Lou Gehrig's disease. ALS is a fatal neurodegenerative disease that causes death of motor neurons that control voluntary muscles. This muscle atrophy leads to progressive weakness and paralysis, difficulty speaking, swallowing and breathing. The researchers then plan to use the platform for Alzheimer's, Parkinson's and other neurodegenerative diseases.

As a FP&A professional, you have a gift for numbers. As technology evolves, it's becoming easier to simplify activities across the entire FP&A spectrum. With the right set-up, a company can automate repetitive business processes and directly integrate data from numerous sources. Can humans compete with the amazing speed and accuracy of technology? Even the best of us have limits: we max out at a 10-key speed of 10,000 KPH and, as of yet, there is no mental cloud where all our brains are hosted.

A special session entitled "Future Directions In Artificial Intelligence" was held at the National Conference on Artificial Intelligence in Washington, D.C. in August. The session, chaired by Jack Minker, was held to honor Soviet cyberneticist Alexander Yankelovich Lerner's seventieth birthday. Minker described Dr. Lerner's contributions to science. Participants Saul Amarel, Nils Nilsson, John McCarthy and Patrick Winston gave a technical presentation, followed by questions from the audience. Following the session, 228 attendees signed a letter wishing Dr. Lerner a happy birthday, and 233 attendees signed a petition to be sent to Yuri Andropov of the Soviet Union requesting that Dr. Lerner be given permission to emigrate so that he may join his daughter and her family in Israel.

Cisco this week jumped head first into the intent-based networking market, saying the technology that uses machine learning and advanced automation to control networks could be a major shift in how networks are managed. But what exactly is intent-based networking? MORE AT NETWORK WORLD: Why Cisco's new intent-based networking could be a big deal Gartner Research Vice President Andrew Lerner says intent-based networking systems (IBNS) are not new, and in fact the ideas behind IBNS have been around for years. What's new is that machine learning algorithms have advanced to a point where IBNS could become a reality soon. Fundamentally, an IBNS is the idea of a network administrator defining a desired state of the network, and having automated network orchestration software implement those policies.

In 1939, he defended a thesis on a new method of calculating A special session entitled "Future Directions In Artificial He was awarded the title Candidate of Intelligence in Washington, D.C. in August. The session, Technical Sciences by the Moscow Institute of Energetics, chaired by Jack Minker, was held to honor Soviet cyberneticist where he worked as a lecturer until the USSR entered World Alexander Yankelovich Lerner's seventieth birthday. He was then commissioned to work at an iron and Minker described Dr. Lerner's contributions to science. The two years of practical work at the Patrick Winston gave a technical presentation, followed by plant led to his book Construction of Industraal Automatic questions from the audience. Electrzcal Drives, published in 1950, together with E.A. Following the session, 228 attendees signed a letter wishing Rosenman. After the war he was appointed head of the Dr. Lerner a happy birthday, and 233 attendees signed USSR's newly established Central ...